Explore every episode of the podcast The Peterman Pod
| Title | Pub. Date | Duration | |
|---|---|---|---|
| Neetcode: Google vs Amazon, Programming Interviews, Quitting Big Tech | 05 oct. 2026 | 00:34:43 | |
Neetcode is the most well-known coding interview prep creator with over 1M+ subs on YouTube. I interviewed him about the latest on coding interviews, his career at Amazon vs Google, and what it was like quitting big tech to do his own thing. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ โข The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: โข YouTube: https://youtu.be/K15dND_Kfvg โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/neetcode-google-vs-amazon-programming Thank you to this episode's sponsor for supporting my work: โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (00:33) Quitting Amazon after 2 months (06:00) Testing Neetcode on Leetcode (12:57) Memorizing vs deriving solutions and intelligence (16:13) The story behind Neetcode (22:24) Getting a job at Google (27:47) How it was quitting big tech (29:38) What he hated most about Google (30:52) Top technical book recommendation (32:34) Advice for his younger self (33:46) Outro Where to find Neetcode: โข LinkedIn: https://www.linkedin.com/in/navdeep-singh-3aaa14161/ โข Twitter/X: https://x.com/neetcode1 โข His website: https://neetcode.io/ โข YouTube: https://www.youtube.com/@NeetCodeIO โข GitHub: https://github.com/neetcode-gh โข Instagram: https://www.instagram.com/neetcodeio/ โข TikTok: https://www.tiktok.com/@neetcode.io โข Discord: https://discord.gg/ddjKRXPqtk Where to find Ryan: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: โข Neetcode's "Maybe Some People Should Just Give Up" video: https://www.youtube.com/watch?v=rsoEipuwXiI โข Designing Data-Intensive Applications: https://www.amazon.com/Designing-Data-Intensive-Applications-Reliable-Maintainable/dp/B08VL1BLHB | |||
| Amazon VP: Questions On Corporate Politics But They Get Increasingly Darker | Ethan Evans | 28 sept. 2026 | 03:07:53 | |
In this episode, I asked Ethan Evans (ex-Amazon VP) questions about common situations in corporate politics but they get increasingly darker.
Podcast links: Thank you to this episode's sponsor for supporting my work:
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| OpenAI & Meta Distinguished Eng (IC9): The Psychology Behind Tech Career Peaks | Philip Su | 21 sept. 2026 | 00:44:21 | |
Philip Su grew quickly to a Distinguished Engineer at Facebook and OpenAI. We talked about the psychology behind peaking in a tech career and the pressure at the highest levels. | |||
| Casey Muratori: Surprises In Computer History And Where Bad Code Comes From | 14 sept. 2026 | 01:57:50 | |
Casey Muratori is a video game developer and programming creator also known for his talks about the history of software and computing. We talked about surprising parts he found while digging through computer history, where bad code comes from, and his career story. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ โข The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: โข YouTube: https://youtu.be/jHLbL1Eg4gM โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/casey-muratori-surprises-in-computer Thank you to this episode's sponsors for supporting my work: โข Jira by Atlassian: Get more work done with your favorite agents and models all in one place, check them out at https://jira.dev/ โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (01:08) Digging into computer science history (04:08) What shocked him (16:23) Dijkstra was depressed (26:17) The personal side of goto considered harmful (35:09) The anatomy of a 35 year mistake (50:12) Clean code horrible performance (58:33) How to write high performance code (01:01:18) Where bad code comes from (01:06:37) Why design docs before code is a bad idea (01:09:20) The only unbreakable law in software engineering (01:15:57) How he got into programming (01:21:16) Why he didnt work in big tech (01:30:44) Should you work at a startup early on (01:34:52) What video game engineering is like (01:39:57) Why preventing recursion is reasonable (01:43:24) Is vibe coding bad for the industry (01:50:17) Technical reading recommendation (01:54:27) Advice for his younger self (01:56:54) Outro Where to find Casey: โข Website: https://caseymuratori.com/ โข Newsletter: https://www.computerenhance.com/ โข X/Twitter: https://x.com/cmuratori โข GitHub: https://github.com/cmuratori โข YouTube: https://www.youtube.com/@MollyRocket โข Bluesky: https://bsky.app/profile/cmuratori.bsky.social โข Twitch: https://www.twitch.tv/molly_rocket โข Handmade Network: https://handmade.network/m/cmuratori โข Wikipedia: https://en.wikipedia.org/wiki/Casey_Muratori Where to find Ryan: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: โข The Root of the Root of All Evil: https://computerenhance.com/theroot โข The Big OOPS: Anatomy of a 35-Year Mistake: https://www.youtube.com/watch?v=wo84LFzx5nI โข Edsger Dijkstra's "Notes on Structured Programming": https://www.cs.utexas.edu/~EWD/transcriptions/EWD02xx/EWD249/EWD249.html โข Donald Knuth's "Structured Programming with go to Statements": https://doi.org/10.1145/356635.356640 โข Edsger Dijkstra's "Go To Statement Considered Harmful": https://www.cs.utexas.edu/~EWD/transcriptions/EWD02xx/EWD215.html โข Ivan Sutherland's Sketchpad thesis: https://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-574.html โข Clean Code, Horrible Performance: https://www.computerenhance.com/p/clean-code-horrible-performance โข Where Does Bad Code Come From?: https://www.youtube.com/watch?v=7YpFGkG-u1w โข The Only Unbreakable Law: https://www.youtube.com/watch?v=5IUj1EZwpJY โข Dijkstra letter's reference: https://medium.com/@acidflask/this-guys-arrogance-takes-your-breath-away-5b903624ca5f#.1rdj838x6 | |||
| How Anthropic Builds And How Engineering Will Change Soon | Thariq Shihipar | 07 sept. 2026 | 01:10:58 | |
Thariq Shihipar is an engineer on Anthropicโs Claude Code team I asked him how Anthropic makes the most out of the models for engineering and how the industry will change soon. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ โข The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: โข YouTube: https://youtu.be/2Kch3tWMnw8 โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/how-anthropic-builds-and-how-engineering Thank you to this episode's sponsor for supporting my work: โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (00:29) Onboarding at Anthropic (02:53) Internal capabilities vs external perception (06:16) Model vs Harness (08:55) What percent of Anthropics changes are fully autonomous (14:51) Computer use (17:42) How to make the most out of your compute (20:45) Loop engineering (22:47) Where the industry will go soon (26:02) Which model do Anthropic engineers use (27:38) Is learning a particular model worth it (30:56) Prompting tips for todays models (35:04) How to get the models to do tasteful work (39:00) How much of writing is done by AI at Anthropic (45:36) Code ownership and maintenance at Anthropic (52:04) How Anthropic prevents breakages (55:24) Visibility and sharing your work (58:42) Luck surface area example (01:00:57) Should people still learn to code (01:07:42) Advice for his younger self (01:09:58) Outro Where to find Thariq: โข X/Twitter: https://x.com/trq212 โข LinkedIn: https://www.linkedin.com/in/thariqshihipar/ โข Personal Website: https://www.thariq.io/ Where to find Ryan: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: โข Anthropic's post on removing 80% of Claude Code's system prompt: https://claude.com/blog/the-new-rules-of-context-engineering-for-claude-5-generation-models | |||
| Creator of Scala: Comparing Languages And How AI Will Impact Them | Martin Odersky | 31 aoรปt 2026 | 00:57:30 | |
Martin Odersky is the creator of Scala and I interviewed him to compare different languages designs (Rust vs Zig vs Python vs Scala) and how AI will impact programming languages. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ โข The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: โข YouTube: https://youtu.be/LdN4sPWM-WY โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/creator-of-scala-comparing-languages?r=n49ky Thank you to this episode's sponsors for supporting my work: โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ โข Jira by Atlassian: Get more work done with your favorite agents and models all in one place, check them out at https://jira.dev/ Timestamps: (00:00) Intro (00:44) Why care about functional programming (06:35) Why should people learn Scala (09:26) Rust vs Scala (12:42) Rust vs Zig (15:45) Scala vs Python (18:31) The programming languages that influenced him (22:16) How running on the JVM works (26:33) Why writing a compiler is hard (29:19) Why Twitter adopted Scala early on (31:00) How he believes AI will impact programming languages (43:40) Will there be less engineers in ten years (44:34) Top programming languages to learn to grow (46:18) Top technical book recommendation (46:51) Why he chose academia instead of industry (48:28) Reflecting on Scala (55:42) Advice for his younger self (56:33) Outro Where to find Martin: โข Wikipedia: https://en.wikipedia.org/wiki/Martin_Odersky โข Website: https://people.epfl.ch/martin.odersky โข X/Twitter: https://x.com/odersky โข GitHub: https://github.com/odersky Where to find Ryan: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: โข Structure and Interpretation of Computer Programs: https://web.mit.edu/6.001/6.037/sicp.pdf โข A Brief, Incomplete, and Mostly Wrong History of Programming Languages (book): http://james-iry.blogspot.com/2009/05/brief-incomplete-and-mostly-wrong.html | |||
| Sergey Levine: Current State of Humanoid Robotics, China & Future Predictions | 24 aoรปt 2026 | 00:57:38 | |
Sergey Levine is one of the world's top robotics researchers and co-founder of Physical Intelligence. We talked about where humanoid robotics is today, thoughts on the Chinese robotics ecosystem, and his predictions for future timelines. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ โข The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: โข YouTube: https://youtu.be/9OSbaPjv0Rc โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/sergey-levine-current-state-of-humanoid?r=n49ky Thank you to this episode's sponsor for supporting my work: โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (00:37) Where are we today (04:20) Most surprising capabilities so far (07:03) The most inspiring real world robotics (08:36) If OpenAI or Anthropic got into robotics (10:22) Chinese robotics (13:15) Will one lab breakout from the rest (16:59) Thoughts on a concrete roadmap (21:03) Generalization and demonstrating it (26:04) Types of data and which is best for robotics (34:34) Why humanoid robotics differs from Waymo (37:10) If humanoid robotics failed here is why (39:55) Are there hot take modeling architectures in robotics (42:05) Thoughts on AI safety in robotics (46:44) Top robotics research paper recommendation (49:35) Why is Boston Dynamics less top of mind (53:47) Advice for his younger self (56:42) Outro Where to find Sergey: โข Google Scholar: https://scholar.google.com/citations?user=8R35rCwAAAAJ&hl=en โข Website: https://people.eecs.berkeley.edu/~svlevine/ โข Wikipedia: https://en.wikipedia.org/wiki/Sergey_Levine โข X/Twitter: https://x.com/svlevine?lang=en โข LinkedIn: https://www.linkedin.com/in/sergey-levine-5a31a24/ Where to find Ryan: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: โข Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware (ALOHA / ACT paper): https://arxiv.org/abs/2304.13705 โข Emergence of Human to Robot Transfer in Vision-Language-Action Models: https://arxiv.org/abs/2512.22414 โข Summary of human to robot paper: https://www.pi.website/research/human_to_robot | |||
| Creator of TypeScript: 10x Faster Typescript, Why AI Won't Replace SWEs | Anders Hejlsberg | 17 aoรปt 2026 | 01:05:57 | |
Anders Hejlsberg is the creator of TypeScript and C#, and I asked him about how the TypeScript compiler got 10x faster through a rewrite in Go and his thoughts on how AI has impacted software engineering. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ โข The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: โข YouTube: https://www.youtube.com/watch?v=cywK3XYYJ2o โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/creator-of-typescript-10x-faster Thank you to this episode's sponsors for supporting my work: โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ โข Jira by Atlassian: Get more work done with your favorite agents and models all in one place, check them out at https://jira.dev/ Timestamps: (00:00) Intro (00:48) Why write a compiler in JavaScript (07:29) Why rewrite the compiler in Go (14:49) LLMs for large migrations (20:12) Why Javascript is so popular (26:32) Why ever use Javascript on the backend (32:59) What it takes to build a programming language (37:06) Will there be fewer languages in 10 years (42:57) Hands on engineering vs delegation (49:14) Why fast tooling matters more now (51:16) AI software engineering predictions (58:52) The most technically challenging work (01:02:04) Top book recommendation (01:03:50) Advice for his younger self (01:05:00) Outro Where to find Anders: โข GitHub: https://github.com/ahejlsberg โข X/Twitter: https://x.com/ahejlsberg โข Wikipedia: https://en.wikipedia.org/wiki/Anders_Hejlsberg โข LinkedIn: https://www.linkedin.com/in/ahejlsberg/ Where to find Ryan: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: โข Flow type checker repository: https://github.com/facebook/flow โข TypeScript compiler repository: https://github.com/microsoft/TypeScript โข Algorithms + Data Structures = Programs (book): https://en.wikipedia.org/wiki/Algorithms_%2B_Data_Structures_%3D_Programs โข TypeScript native rewrite: https://devblogs.microsoft.com/typescript/announcing-typescript-7-0/ | |||
| Creator of Lean: Handwritten Math Will Change Dramatically | Leonardo de Moura | 10 aoรปt 2026 | 01:08:06 | |
Leonardo de Moura is the creator of Lean and the Z3 theorem prover. I talked with him about how Lean works and why LLMs plus Lean will fundamentally change how we write software and do math. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ โข The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: โข YouTube: https://youtu.be/KzdYKeAqWhY โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/creator-of-lean-the-end-of-handwritten Thank you to this episode's sponsor for supporting my work: โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (00:28) How formal verification works (05:21) A new way of writing software (13:15) Proof assistants vs programming languages (21:06) How Lean has assisted in mathematical breakthroughs (32:03) When is it worth formalizing software (33:29) How Lean will impact handwritten math (38:55) The Z3 theorem prover project he started (45:44) The most technically challenging work of his career (51:10) Lean vs its competitors (01:00:37) The future of Lean (01:04:10) Technical book recommendations (01:06:15) Advice for his younger self (01:07:10) Outro Where to find Leonardo: โข Wikipedia: https://en.wikipedia.org/wiki/Leonardo_de_Moura โข Website: https://leodemoura.github.io/ โข GitHub: https://github.com/leodemoura โข LinkedIn: https://www.linkedin.com/in/leonardo-de-moura-26a27b5/ โข X/Twitter: https://x.com/Leonard41111588 Where to find Ryan: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: โข Lean 4: https://github.com/leanprover/lean4 โข Mathlib: Lean Mathematical Library: https://github.com/leanprover-community/mathlib4 โข Lean4Lean: https://github.com/digama0/lean4lean โข Liquid Tensor Experiment: https://xenaproject.wordpress.com/2020/12/05/liquid-tensor-experiment/ โข Veil protocol verification language: https://veil.dev/ โข Z3 theorem prover: https://github.com/Z3Prover/z3 โข seL4 formally verified microkernel: https://github.com/seL4/seL4 | |||
| Creator of Lua: Scripting, Programming Languages, Predictions | Roberto Ierusalimschy | 03 aoรปt 2026 | 01:05:16 | |
Roberto Ierusalimschy is the creator of the Lua programming language. I interviewed him about Lua's unique strengths, programming language design and predictions for how AI will impact programming languages. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ โข The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: โข YouTube: https://youtu.be/jCZnFKk6M9A โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/creator-of-lua-scripting-programming Thank you to this episode's sponsor for supporting my work: โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (00:43) What sets Lua apart (08:35) Comparing Lua with Python (13:04) Top book recommendation on language design (14:20) How JIT works and why it is hard (23:21) Compiling Python and interpreting C (30:31) How cross language calls work (36:58) Lua unique design decisions (51:17) Predictions for AIs impact on languages (01:00:10) Top 3 languages to learn to become a better engineer (01:03:21) Advice for his younger self (01:04:19) Outro Where to find Roberto: โข Website: https://www.inf.puc-rio.br/~roberto/ โข Wikipedia: https://en.wikipedia.org/wiki/Roberto_Ierusalimschy Where to find Ryan: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: โข The Evolution of Lua: https://www.lua.org/doc/hopl.pdf โข LuaJIT: https://luajit.org/ โข How much does it cost: https://www.youtube.com/watch?v=EUvgoxBm7uc โข JavaScript: The Good Parts (not an affiliate link): https://www.amazon.com/dp/0596517742 | |||
| Turing Award Winner: Early AI, LLM Predictions, Causality | Judea Pearl | 27 juil. 2026 | 01:27:33 | |
Judea Pearl is a Turing Award winner and a pioneer in artificial intelligence and causal reasoning. We talked about how he got into science, his major breakthroughs and his predictions for AI today. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ โข The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: โข YouTube: https://youtu.be/FleTXB1fAcQ โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/turing-award-winner-early-ai-llm Thank you to this episode's sponsor for supporting my work: โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (00:54) How he got into AI (11:17) Greatest scientist of all time (20:15) What people thought of AI in the 80s (26:23) Entering academia and researching AI (34:52) The invention of Bayesian networks (46:28) Pioneering work in causality (55:38) The causal hierarchy (59:34) LLMs and predictions (01:20:12) A restless mind pays (01:24:36) Advice for his younger self (01:26:37) Outro Where to find Judea: โข X/Twitter: https://twitter.com/yudapearl โข Website: https://bayes.cs.ucla.edu/jp_home.html โข Wikipedia: https://en.wikipedia.org/wiki/Judea_Pearl Where to find Ryan: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: โข The Book of Why: https://en.wikipedia.org/wiki/The_Book_of_Why โข Bayesian networks: https://en.wikipedia.org/wiki/Bayesian_network โข Alpha-beta pruning: https://en.wikipedia.org/wiki/Alpha%E2%80%93beta_pruning โข Pearl vortex: https://en.wikipedia.org/wiki/Pearl_vortex โข Graphoid: https://en.wikipedia.org/wiki/Graphoid โข Causality: Models, Reasoning, and Inference: https://en.wikipedia.org/wiki/Causality_(book) โข Coexistence and Other Fighting Words: Selected Writings of Judea Pearl, 2002โ2025: https://bayes.cs.ucla.edu/COEXISTENCE/ | |||
| Creator of OCaml: Functional Programming, Formal Verification, Programming Languages | Xavier Leroy | 20 juil. 2026 | 01:24:27 | |
Xavier Leroy (creator of OCaml) is an expert in compilers, formal verification of software and functional programming. This interview should be an approachable resource if you're curious about formal verification of software since I was learning that on the fly during it. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ โข The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: โข YouTube: https://youtu.be/9Cswiqrq6So โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/creator-of-ocaml-functional-programming Thank you to this episode's sponsor for supporting my work: โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (00:43) What sets OCaml apart (04:39) OCaml vs Rust (07:57) Why is manual memory management more performant (11:21) Javascript vs OCaml (14:00) Famous Rob Pike quote (16:05) Type inference and how it works (22:12) What is formal verification and how does it work (40:07) What made multicore support difficult for OCaml (50:17) How programming languages interface and call each other (57:41) The danger of almost-correct LLM code (01:05:39) How LLMs will change programming languages (01:10:26) Industry vs academia (01:15:05) Most interesting unsolved problems (01:18:30) Top book recommendations for engineers (01:21:17) Advice for his younger self (01:23:31) Outro Where to find Xavier: โข Wikipedia: https://en.wikipedia.org/wiki/Xavier_Leroy โข Website: https://xavierleroy.org/ Where to find Ryan: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: โข CompCert verified C compiler: https://compcert.org/ โข seL4 microkernel: https://sel4.systems/ โข Programming Pearls (book, not an affiliate link): https://www.amazon.com/dp/0201657880 โข How to Design Programs (book): https://htdp.org/ | |||
| Turing Award Winner: TPU vs GPU vs CPU, Computer Architecture, RISC vs CISC | David Patterson | 13 juil. 2026 | 00:59:11 | |
David Patterson is a Turing Award winner famous for his contributions to computer architecture. I interviewed him about his past work, thoughts on GPU/TPUs and career advice from half a century of experience. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ โข The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: โข YouTube: https://youtu.be/Pn4ZwlEh5nw โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/turing-award-winner-tpu-vs-gpu-vs?r=n49ky Timestamps: (00:00) Intro (00:42) RISC vs CISC (12:51) Compilers (17:38) GPUs (23:07) GPU vs TPU vs CPU (32:12) Is Moores law dead? (38:04) GPU benchmarks (41:40) How to have a bad career (49:59) Courage and optimism (55:56) Advice for his younger self (58:15) Outro Where to find David: โข Wikipedia: https://en.wikipedia.org/wiki/David_Patterson_(computer_scientist) Where to find Ryan: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: โข AlexNet paper: https://proceedings.neurips.cc/paper_files/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf โข David Patterson's โHow to Have a Bad Careerโ talk: https://www.youtube.com/watch?v=Rn1w4MRHIhc โข โLife Lessons from the First Half-Century of My Careerโ: https://cacm.acm.org/opinion/life-lessons-from-the-first-half-century-of-my-career/ โข The 7 Habits of Highly Effective People (book): https://en.wikipedia.org/wiki/The_7_Habits_of_Highly_Effective_People โข Working (book): https://en.wikipedia.org/wiki/Working_(Terkel_book) | |||
| Turing Award Winner: NSA, Public Key Cryptography, Crypto Wars | Martin Hellman | 06 juil. 2026 | 01:01:41 | |
Martin Hellman is a Turing Award winner who helped to invent public-key cryptography against the NSA's wishes. I interviewed him all about his work and why it broke the law at the time. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ โข The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: โข YouTube: https://youtu.be/AZLOETBCQM4 โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/turing-award-winner-nsa-public-key Thank you to this episode's sponsor for supporting my work: โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (00:34) Why his work broke the law (08:39) How people did encryption before (18:51) The crypto wars (26:22) The story behind Diffie Hellman key exchange (36:48) Signatures vs key exchange (43:05) RSA patent wars (48:08) Why inventions happen at similar times (50:29) What he worked on after cryptography (57:31) His thoughts on death (59:40) Advice for his younger self (01:00:45) Outro Where to find Martin: โข Wikipedia: https://en.wikipedia.org/wiki/Martin_Hellman โข Website: https://ee.stanford.edu/~hellman/ Where to find Ryan: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: โข Martin Hellman's โThe Evolution of Public Key Cryptographyโ: https://www.youtube.com/watch?v=Tev3tVzH91s โข Keys Under Doormats: https://cacm.acm.org/opinion/keys-under-doormats/ โข Cryptography's Role in Securing the Information Society (CRISIS report): https://nap.nationalacademies.org/catalog/5131/cryptographys-role-in-securing-the-information-society โข Secure Communications Over Insecure Channels: https://doi.org/10.1145/359460.359473 โข New Directions in Cryptography: https://doi.org/10.1109/TIT.1976.1055638 | |||
| MIT Complexity Theorist: Why You Can Do Better Than โOptimalโ On Leetcode & SAT | Ryan Williams | 29 juin 2026 | 01:12:52 | |
Ryan Williams is a professor at MIT and the winner of the Gรถdel Prize in theoretical computer science. I interviewed him all about his work starting by asking him a popular Leetcode question (3 SUM). Correction: In this podcast I say "lower bound" when I mean "upper bound" and vice versa. Was speaking using the intuition that lower is better for running time. In reality, the accurate usage is: "Lower bound" = A proven floor for a problem e.g. "no algorithm can possibly be faster" "Upper bound" = A proven ceiling for a specific solution e.g. "there exists an algorithm this fast" Professor Williams answers as if I spoke accurately so the error didn't impact the flow of conversation. Just a correction for the record โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ โข The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: โข YouTube: https://youtu.be/AaK1SL2i_4Y โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/mit-complexity-theorist-on-leetcode Thank you to this episode's sponsor for supporting my work: โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (00:41) Asking him a popular Leetcode question (03:54) Doing better than the popular optimal solution (08:26) Fine grained complexity (17:00) A severe strengthening of P vs NP (24:38) SAT problems and solvers (34:51) Hot takes on famous open questions (46:57) Simulating space with time (01:01:02) Why he solves hard problems (01:02:35) How to pick good research direction (01:07:14) Technical book recommendations (01:08:31) Advice for his younger self (01:11:56) Outro Where to find Ryan: โข Wikipedia: https://en.wikipedia.org/wiki/Ryan_Williams_(computer_scientist) โข Website: https://people.csail.mit.edu/rrw/ โข LinkedIn: https://www.linkedin.com/in/r-ryan-williams-a1b534a/ โข X/Twitter: https://twitter.com/rrwilliams Where to find Ryan: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: โข Some Estimated Likelihoods for Computational Complexity: https://people.csail.mit.edu/rrw/likelihoods.pdf โข Simulating Time with Square-Root Space: https://arxiv.org/abs/2502.17779 โข Cook and Mertz's tree evaluation paper: https://dl.acm.org/doi/10.1145/3618260.3649664 | |||
| OpenAI Eng & Dev Tools Founder: How Software Engineering Is Changing | Charlie Marsh | 22 juin 2026 | 01:22:56 | |
Charlie Marsh is the founder of Astral, the Python devtool startup that was acquired by OpenAI. I inteviewed him about how software engineering is changing and learnings from starting his own company as an engineer. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ โข The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: โข YouTube: https://youtu.be/Iw65FD4MGgs โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/openai-eng-and-dev-tools-founder Thank you to this episode's sponsor for supporting my work: โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (00:40) Origin story (06:04) The front page of Hacker News (14:35) Why he chose Rust (20:10) Full codebase migration from Zig to Rust (28:40) LLM generated code and open source (35:34) Performance optimizations (44:54) Optimization with AI and combating slop (01:02:08) Learnings as an eng starting a company (01:17:55) Top technical talk recommendation (01:18:56) Advice for his younger self (01:22:00) Outro Where to find Charlie: โข LinkedIn: https://www.linkedin.com/in/marshcharles/ โข GitHub: https://github.com/charliermarsh โข X/Twitter: https://x.com/charliermarsh Where to find Ryan: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: โข Python tooling could be much, much faster: https://notes.crmarsh.com/python-tooling-could-be-much-much-faster โข The coolest PR he's ever seen: https://github.com/astral-sh/uv/pull/789 โข Andrew Kelleyโs data-oriented design talk: https://www.youtube.com/watch?v=IroPQ150F6c โข Ruff: https://github.com/astral-sh/ruff โข uv: https://github.com/astral-sh/uv โข ty: https://github.com/astral-sh/ty โข Salsa: https://github.com/salsa-rs/salsa | |||
| Google DeepMind Pre-Training Lead: How To Land a Job at a Frontier Lab | Vlad Feinberg | 15 juin 2026 | 01:04:03 | |
Vlad Feinberg is Google DeepMindโs pre-training area lead and I asked him all about how to land a job at a frontier lab like Google DeepMind, Anthropic or OpenAI. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ โข The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: โข YouTube: https://youtu.be/cDyi91onoJ8 โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/google-deepmind-pre-training-lead Thank you to this episode's sponsor for supporting my work: โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (00:33) Skills frontier labs need (08:45) The difference between AI research and engineering (21:41) Domains that matter for the frontier (30:50) Marketing yourself to frontier labs (35:13) Concrete steps engineers can take (38:29) Overview of pre-training areas (47:23) Jeff Dean spot bonus story (50:14) Favorite Gemini war story (58:59) Advice for his younger self (01:03:07) Outro Where to find Vlad: โข Personal Website: https://vladfeinberg.com/ โข Twitter/X: https://x.com/FeinbergVlad โข LinkedIn: https://www.linkedin.com/in/vladimirfeinberg/ Where to find Ryan: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: โข How to Land a Job at a Frontier Lab: https://vladfeinberg.com/2026/05/10/how-to-land-a-job-at-a-frontier-lab.html โข ThunderKittens: https://github.com/HazyResearch/ThunderKittens โข Deedy's doomer Tweet: https://x.com/FeinbergVlad/status/2056383124829872466?s=20 โข Jacob Steinhardt's "Research as a Stochastic Decision Process": https://cs.stanford.edu/~jsteinhardt/ResearchasaStochasticDecisionProcess.html โข The Scaling Book: https://jax-ml.github.io/scaling-book/ โข Dwarkesh and Reiner's video: https://www.youtube.com/watch?v=xmkSf5IS-zw | |||
| Co-Creator of Haskell: Functional Programming, Thinking in Types, Useless Languages | Simon Jones | 08 juin 2026 | 01:27:52 | |
Simon Peyton Jones is the co-creator of Haskell (pure functional programming language) and I interviewed him about functional programming, why it matters, and his thoughts on other programming languages. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ Podcast links: โข YouTube: https://youtu.be/xcB_LF3cdqw โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/co-creator-of-haskell-functional Thank you to this episode's sponsor for supporting my work: โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (00:39) What functional programming is (09:18) Downsides of functional programming (10:53) Specialized hardware for functional programming (21:47) Haskell is useless (25:59) Rust vs C (28:26) Haskell vs OCaml (35:26) Side effects in Haskell (44:26) Type systems (57:30) How the Haskell compiler works (01:04:35) Why Haskell is talked about more than used (01:09:07) Avoiding success at all costs (01:11:12) LLMs and programming languages (01:13:57) New programming language design (01:15:59) Should students continue to learn programming (01:22:33) Why Excel is his 2nd favorite programming language (01:25:04) Advice for his younger self Where to find Simon: โข LinkedIn: https://www.linkedin.com/in/simonpj/ โข Wikipedia: https://en.wikipedia.org/wiki/Simon_Peyton_Jones โข Personal Website: https://simon.peytonjones.org/ Where to find Ryan: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: โข Haskell is useless: https://www.youtube.com/watch?v=iSmkqocn0oQ โข John Backus Turing Award lecture: https://worrydream.com/refs/Backus_1978_-_Can_Programming_Be_Liberated_from_the_von_Neumann_Style.pdf โข Why functional programming matters: https://www.cs.kent.ac.uk/people/staff/dat/miranda/whyfp90.pdf โข Excel is his 2nd favorite programming language: https://www.youtube.com/watch?v=_M4P5M85KO8 | |||
| Turing Award Winner: P vs NP, Zero-Knowledge Proofs, Quantum Computation | Avi Wigderson | 01 juin 2026 | 02:15:47 | |
Avi Wigderson is the only person in history to have won both a Turing Award (computer science) and Abel Prize (math). I interviewed him all about his field. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ Podcast links: โข YouTube: https://youtu.be/5GUcvSAJcJw โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/turing-award-winner-p-vs-np-zero Thank you to this episode's sponsor for supporting my work: โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: (00:00) Intro (01:08) P vs NP (14:51) What if you relaxed correctness (25:38) Why NP complete problems are equivalent (30:33) Space vs time complexity (43:06) Why people use SAT solvers (45:53) Randomness is a resource (55:48) Randomness depends on computational power (01:21:20) Zero knowledge proofs and their significance (01:38:30) Quantum computation and why it matters (01:56:24) Math vs computer science (02:08:16) Major breakthroughs and his experience (02:12:31) Advice for his younger self (02:14:48) Outro Where to find Avi: โข Wikipedia: https://en.wikipedia.org/wiki/Avi_Wigderson โข Personal Website: https://www.math.ias.edu/avi/home Where to find Ryan: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: โข PCP Theorem paper: https://www.cs.umd.edu/~gasarch/TOPICS/pcp/AS.pdf โข Paper on SAT approximation hardness: https://www.cs.umd.edu/~gasarch/BLOGPAPERS/max3satl.pdf โข Turing's paper: https://www.cs.virginia.edu/~robins/Turing_Paper_1936.pdf โข Original paper on NP completeness: https://www.cs.toronto.edu/~sacook/homepage/1971.pdf โข Ryan William's breakthrough result on space vs time: https://people.csail.mit.edu/rrw/time-vs-space.pdf โข Old result on space vs time: https://www-wjp.cs.uni-saarland.de/publikationen/HPV75.pdf โข Paper describing constant space majority solution: https://people.cs.umass.edu/~barring/publications/bwbp.pdf โข Fast primality test paper: https://www.sciencedirect.com/science/article/pii/0022314X80900840/pdf?md5=6f748cd82fa8efa1a637efab5f632baa&pid=1-s2.0-0022314X80900840-main.pdf โข Deterministic primality test paper: https://www.cse.iitk.ac.in/users/manindra/algebra/primality_v6.pdf โข Randomness vs observer paper: https://people.csail.mit.edu/silvio/Selected%20Scientific%20Papers/Pseudo%20Randomness/How_To_Generate_Cryptographically_Strong_Sequences_Of_Pseudo-Random_Bits.pdf โข Hardness vs randomness paper: https://www.math.ias.edu/~avi/PUBLICATIONS/MYPAPERS/NOAM/HARDNESS/final.pdf โข Erdos original sum vs product paper: https://users.renyi.hu/~p_erdos/1983-18.pdf โข Terrence Tao sum vs product paper: https://arxiv.org/pdf/math/0301343 โข Seminal interactive proof paper: https://www.cs.miami.edu/home/burt/learning/csc609.221/goldwasser-micali-rackoff-knoweldge-complexity.pdf โข Zero knowledge proof paper: https://www.math.ias.edu/~avi/PUBLICATIONS/MYPAPERS/GMW86/GMW86.pdf โข Shor's algorithm original paper: https://arxiv.org/pdf/quant-ph/9508027 โข Lattice paper (new hard problems): https://dl.acm.org/doi/epdf/10.1145/258533.258604 โข MIP* vs RE paper: https://arxiv.org/pdf/2001.04383 โข Zero knowledge non-interactive proofs: https://eprint.iacr.org/2025/1296.pdf | |||
| Dropboxโs Former Most Senior Eng: Building Great Systems and Advice for the AI Era | James Cowling | 25 mai 2026 | 02:01:53 | |
James Cowling is the CTO at Convex and was previously the most senior engineer at Dropbox. We discussed technical details of his past projects, simplicity vs complexity, and career advice given where AI is today. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ Podcast links: โข YouTube: https://youtu.be/3XkmNSuHFmY โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/dropboxs-former-most-senior-eng-building Thank you to this episode's sponsor for supporting my work: โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Timestamps: 00:00:00 Intro 00:00:53 Systems work during his PhD 00:13:05 Dropbox technical deep dive 00:21:57 Why Dropbox migrated from AWS 00:36:40 How to do massive migrations 00:44:31 Simplicity vs complexity in promos 00:49:23 What technical teams should be focused on 01:00:25 Doing the right thing vs promo hypothetical 01:08:13 Why he dipped into management sometimes 01:11:36 Why you should not lead by example 01:23:23 How to mentor Senior Staff engineers 01:27:30 Career advice for the AI era 01:37:21 Why he started his own company 01:46:05 The most technically challenging work of his career 01:48:10 How he got involved in Silicon Valley 01:52:16 Career regrets 01:55:54 Top technical book recommendation 01:56:36 Younger self and permanent underclass advice Where to find James: โข LinkedIn: https://www.linkedin.com/in/jcowling/ โข Twitter/X: https://x.com/jamesacowling โข His company: https://www.convex.dev/ Where to find Ryan: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: โข His PhD Thesis: https://www.usenix.org/system/files/conference/atc12/atc12-final118.pdf โข Masters paper: https://www.cs.princeton.edu/courses/archive/fall19/cos418/papers/vr-revisited.pdf โข Papercuts writing he mentioned: https://medium.com/@jamesacowling/embracing-papercuts-e6390055dfc4 โข "Don't lead by example": https://medium.com/@jamesacowling/dont-lead-by-example-4f86b1174e64 โข His writing about orienting teams around missions: https://medium.com/@jamesacowling/your-system-is-not-a-sports-team-e17f9eb16b94 | |||
| Creator of C++: Bell Labs, Negative Overhead Abstraction, Mistakes | Bjarne Stroustrup | 18 mai 2026 | 01:59:03 | |
Bjarne Stroustrup is the creator of the C++ programming language and a former researcher at Bell Labs. We talked about what Bell Labs was like, programming language design, and interesting anecdotes from his experience. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข YouTube: https://youtu.be/U46fJ2bJ-co โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/creator-of-c-bell-labs-negative-overhead ๐ง๐ต๐ฎ๐ป๐ธ ๐๐ผ๐ ๐๐ผ ๐๐ต๐ถ๐ ๐ฒ๐ฝ๐ถ๐๐ผ๐ฑ๐ฒ'๐ ๐๐ฝ๐ผ๐ป๐๐ผ๐ฟ๐ ๐ณ๐ผ๐ฟ ๐๐๐ฝ๐ฝ๐ผ๐ฟ๐๐ถ๐ป๐ด ๐บ๐ ๐๐ผ๐ฟ๐ธ: โข Cursor 3: a unified workspace for building software with agents, check it out at https://cursor.com/ โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 0:00 - Intro 0:50 - The origin of C++ 8:46 - What Bell Labs was like 17:24 - Dennis Ritchie 24:00 - When to build a programming language 31:59 - Bootstrapping a language 33:58 - C++ is not object-oriented 37:32 - Discussing type systems 46:20 - Memory safety 49:26 - Standards committee anecdotes 1:09:40 - Adding automatic garbage collection to C++ 1:18:25 - Template instantiation is Turing complete 1:21:57 - Abstraction and performance 1:28:51 - AI writing code 1:35:54 - His motivation 1:39:18 - Famous quotes 1:46:48 - Reflecting on building C++ 1:49:12 - Top C++ book recommendation 1:50:59 - Advice for his younger self 1:58:06 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐ท๐ฎ๐ฟ๐ป๐ฒ: โข Wikipedia: https://en.wikipedia.org/wiki/Bjarne_Stroustrup โข Personal Website: https://www.stroustrup.com/ ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman ๐ฅ๐ฒ๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ฐ๐ฒ๐ฑ ๐ถ๐ป ๐๐ต๐ถ๐ ๐ฒ๐ฝ๐ถ๐๐ผ๐ฑ๐ฒ: โข "A History of C++": https://www.stroustrup.com/hopl2.pdf โข "Evolving a language in and for the real world": https://www.stroustrup.com/hopl-almost-final.pdf โข "Thriving in a Crowded and Changing World": https://www.open-std.org/jtc1/sc22/wg21/docs/papers/2020/p2184r0.pdf โข The lecture where he mentioned he lost half his hair: https://youtu.be/69edOm889V4?si=IAZxYNwlUALodEV7&t=474 โข Quotes I pulled: https://www.stroustrup.com/quotes.html | |||
| Harvard Professor: CS50, What Matters More Than CS, Lecturing Well | David J Malan | 11 mai 2026 | 01:03:46 | |
David Malan is a Harvard professor known for turning CS50 into a popular online computer science course. We discussed the story behind CS50, how to lecture well, and how AI is changing CS education including in cheating/academic dishonesty. โข My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข YouTube: https://youtu.be/bB2o81DnKHk โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/harvard-professor-cs50-what-matters ๐ง๐ต๐ฎ๐ป๐ธ ๐๐ผ๐ ๐๐ผ ๐๐ต๐ถ๐ ๐ฒ๐ฝ๐ถ๐๐ผ๐ฑ๐ฒ'๐ ๐๐ฝ๐ผ๐ป๐๐ผ๐ฟ๐ ๐ณ๐ผ๐ฟ ๐๐๐ฝ๐ฝ๐ผ๐ฟ๐๐ถ๐ป๐ด ๐บ๐ ๐๐ผ๐ฟ๐ธ: โข Cursor 3: a unified workspace for building software with agents, check it out at https://cursor.com/ โข WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 0:00 - Intro 1:09 - Getting into computer science 3:27 - Becoming the professor of CS50 11:19 - How to lecture well 14:25 - Depth vs engagement in education 18:11 - Why don't we consolidate educational resources 23:20 - Why start with C 31:51 - The ideal use of AI in education 34:54 - Cheating and AI 38:21 - Should we really learn CS still? 45:24 - College vs online education 47:06 - The most difficult concept to learn 51:00 - Growth vs fixed mindset 52:35 - The future of CS50 55:56 - Biggest career regret 1:00:29 - Top book recommendations 1:02:36 - Advice for his younger self 1:03:35 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐ฎ๐๐ถ๐ฑ: โข Personal website: https://cs.harvard.edu/malan/ โข Facebook: https://www.facebook.com/dmalan โข Github: https://github.com/dmalan โข Instagram: https://www.instagram.com/davidjmalan/ โข LinkedIn: https://www.linkedin.com/in/malan/ โข Reddit: https://www.reddit.com/user/davidjmalan/ โข X/Twitter: https://x.com/davidjmalan โข Threads: https://www.threads.com/@davidjmalan ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman ๐ฅ๐ฒ๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ฐ๐ฒ๐ฑ ๐ถ๐ป ๐๐ต๐ถ๐ ๐ฒ๐ฝ๐ถ๐๐ผ๐ฑ๐ฒ: โข His first program for CS50: https://x.com/davidjmalan/status/1432538424590929920 โข Paper about CS50 improvements: https://cs.harvard.edu/malan/publications/fp310-malan.pdf โข Hitchhiker's Guide to the Galaxy: https://en.wikipedia.org/wiki/The_Hitchhiker%27s_Guide_to_the_Galaxy โข How Computers Work book (not affiliate link): https://www.amazon.com/How-Computers-Work-Evolution-Technology/dp/078974984X | |||
| PyTorch Eng Director: Promo Hacking, Industry Shifts, Regrets | John Myles White | 04 mai 2026 | 00:43:39 | |
John Myles White recently left his role as a director of engineering at Meta Superintelligence Labs (MSL) so we spoke freely about promo culture, how big tech has changed, and how his career grew. ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข YouTube: https://youtu.be/aPfnP4iAIH8 โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/msl-eng-director-promo-hacking-industry ๐๐ฟ๐ผ๐๐ด๐ต๐ ๐๐ผ ๐๐ผ๐ ๐ฏ๐: โข Cursor 3: a unified workspace for building software with agents, check it out at https://cursor.com/ โข My ergonomic keyboard project, you can follow along here: https://read.compose.llc/ ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 0:00 - Intro 0:54 - Is he bullish on MSL 5:23 - Running promotions at Meta 15:15 - Growing at Meta 22:22 - Julia core language contributor 29:24 - Academics failing into industry 31:48 - Stats book recommendations 38:02 - Biggest career regret 41:05 - Advice for his younger self 42:46 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐ผ๐ต๐ป: โข LinkedIn: https://www.linkedin.com/in/john-myles-white-115697180/ โข X/Twitter: https://x.com/johnmyleswhite โข Personal Website: https://www.johnmyleswhite.com/ โข Github: https://github.com/johnmyleswhite ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman ๐ฅ๐ฒ๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ฐ๐ฒ๐ฑ ๐ถ๐ป ๐๐ต๐ถ๐ ๐ฒ๐ฝ๐ถ๐๐ผ๐ฑ๐ฒ: โข Evaluating the design of the R language - https://www.researchgate.net/publication/240040602_Evaluating_the_Design_of_the_R_Language โข Stats book he mentioned (not affiliate link) - https://www.amazon.com/Foundations-Agnostic-Statistics-Peter-Aronow/dp/1316631141 โข Stats book he mentioned (not affiliate link) - https://www.amazon.com/All-Statistics-Statistical-Inference-Springer/dp/0387402721 | |||
| Turing Award Winner: Data Abstraction, Dijkstra, Distributed Systems | Barbara Liskov | 27 avr. 2026 | 00:34:43 | |
Barbara Liskov is a Turing Award winner known for her work in programming languages and distributed systems. We discussed the major problems she solved in her career, stories about Dijkstra, getting rejected from Princeton because she was a woman and misc topics around her work. ๐ธ My keyboard Kickstarter: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข YouTube: https://youtu.be/T9CGjbPZeaM โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/turing-award-winner-data-abstraction ๐๐ฝ๐ถ๐๐ผ๐ฑ๐ฒ ๐น๐ถ๐ป๐ธ๐: โข Go To Statement Considered Harmful: https://homepages.cwi.nl/~storm/teaching/reader/Dijkstra68.pdf โข Viewstamped Replication: https://www.cs.princeton.edu/courses/archive/fall09/cos518/papers/viewstamped.pdf ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 0:00 - Intro 1:00 - Getting rejected from Princeton 2:53 - The software crisis 9:03 - The drawbacks of Python 10:17 - Getting into distributed computing 13:09 - Paxos vs Viewstamped replication 21:44 - The significance of Dijkstras letter 25:04 - Why she stayed in academia 30:39 - Why her award was questioned 33:51 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐ฎ๐ฟ๐ฏ๐ฎ๐ฟ๐ฎ: โข Wikipedia: https://en.wikipedia.org/wiki/Barbara_Liskov ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Turing Award Winner: Postgres, Disagreeing with Google, Future Problems | Mike Stonebraker | 20 avr. 2026 | 00:56:50 | |
Mike Stonebraker is a Turing Award winner famous for his contributions to fundamental database technologies. We discussed the story behind building Postgres, where he disagrees with Google/Amazon on databases, and what he's working on now. ๐ธ My keyboard Kickstarter: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข YouTube: https://youtu.be/YPObBOwIrHk โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/turing-award-winner-postgres-disagreeing ๐๐ฝ๐ถ๐๐ผ๐ฑ๐ฒ ๐น๐ถ๐ป๐ธ๐: โข Red book of database readings: http://www.redbook.io/ โข BEAVER: An Enterprise Benchmark for Text-to-SQL: https://arxiv.org/abs/2409.02038 ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 0:00 - Intro 1:03 - How he got into databases 6:43 - Competing with Oracle 9:07 - What made Postgres special 15:55 - One size fits none 21:37 - Why he disagreed with Google 29:14 - Why he chose academia over big tech 30:58 - Replacing state in an OS with a DB 42:02 - Future problems in databases 51:36 - Technical book recommendations to learn databases 52:20 - Advice for younger self 55:52 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ ๐ถ๐ธ๐ฒ: โข His current company DBOS: https://dbos.dev/ ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| AWS Distinguished Eng: Learning From 3000 Incidents And How Engineering Is Changing | Marc Brooker | 13 avr. 2026 | 01:11:30 | |
In this episode, I talked to Marc Brooker, a distinguished engineer at AWS who started there as a new grad and rose through the ranks. We discussed technical learnings from 3,000+ cloud system postmortems, how software engineering is changing with AI, how to find impactful problems and much more. ๐ถ My keyboard Kickstarter: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข YouTube: https://youtu.be/u3GjIXP9N0s โข Spotify: https://open.spotify.com/episode/1qX2GfpbzxzGpGvDZVINdO?si=wsDGZo9PTbCNalKVybFVnA โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/aws-distinguished-eng-learnings-from ๐๐ฝ๐ถ๐๐ผ๐ฑ๐ฒ ๐น๐ถ๐ป๐ธ๐: โข Post we discussed on hobbies and apparent expertise: https://brooker.co.za/blog/2023/04/20/hobbies.html โข Post on software engineering changing: https://brooker.co.za/blog/2026/02/07/you-are-here.html โข Post about Senior engineers and AI: https://brooker.co.za/blog/2026/03/20/ic-leadership.html โข Post on Junior engineers and AI: https://brooker.co.za/blog/2026/03/25/ic-junior.html ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 0:00 - Intro 1:27 - Finding problems that matter 11:42 - Learnings from 3000 postmortems 23:58 - Why caches are bad 29:37 - How AI will change software engineering 36:49 - Advice for junior engineers given AI 44:02 - Thoughts for senior engineers 49:59 - Why engineers should write 57:51 - Visibility and apparent expertise 1:04:23 - AWS engineers he admires 1:06:53 - Technical book recommendations 1:09:06 - Advice for his younger self 1:10:37 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ ๐ฎ๐ฟ๐ฐ: โข LinkedIn: https://www.linkedin.com/in/marc-brooker-b431772b/ โข Twitter/X: https://x.com/MarcJBrooker โข Personal Blog: https://brooker.co.za/blog/ ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Ex-Head of Eng at Instagram: Career Regrets and Learnings | James Everingham | 06 avr. 2026 | 00:58:35 | |
This is James Everingham, former head of engineering at Instagram and a veteran of the tech world with experience at Netscape. We talked about his unconventional start in the industry, learnings from every leg of his career, and regrets he has looking back. ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข YouTube: https://youtu.be/VIF5Fm8NdE8 โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/ex-head-of-eng-at-instagram-career ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 0:00 - Intro 0:57 - Kicked out of college 5:35 - FBI showed up at his house 7:43 - Pre-IPO Netscape experience 25:19 - Joining Instagram as head of eng 29:12 - Why shrinking teams improves velocity 32:59 - Working with Mike Krieger 37:16 - Leading Cryptocurrency project at Meta 42:30 - What he is working on now 54:29 - Career regrets 56:27 - Advice for his younger self 57:42 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐ฎ๐บ๐ฒ๐: โข LinkedIn: https://www.linkedin.com/in/jevering/ โข Twitter/X: https://x.com/jevering โข Threads: https://www.threads.com/@jevering ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Retired Amazon VP: How Corporate Politics Work And How To Win | Ethan Evans | 30 mars 2026 | 02:50:44 | |
Ethan Evans is a former VP at Amazon has seen pretty much every possible type of corporate politics. Now that he's retired, he could share everything he'd seen including stories about empire building, hidden politics, reorgs, senior promos and dealing with bad managers. ๐ธ The keyboard I'm building: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข YouTube: https://youtu.be/6WaeGfLnRvc โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/amazon-vp-reveals-everything-hes ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00 - Intro 2:33 - Empire Building 31:54 - Stealing scope 44:03 - Managing out via reorgs 51:01 - Bad managers and mutiny 01:01:43 - Political messaging 01:11:48 - Handling politically skilled operators 01:20:01 - Orgs trying to steal scope 01:30:26 - Handling difficult people from other orgs 01:36:19 - Handling weak managers 01:46:30 - Backchanneling 01:52:04 - Influence without authority 01:58:04 - Sexual harassment 02:00:49 - Skip overruling firing 02:05:39 - How to fire managers 02:11:31 - Leverage when people are getting fired 02:24:01 - How to grow past senior eng 02:43:01 - How to avoid politics 02:48:15 - Advice for younger self 02:49:51 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐๐ต๐ฎ๐ป: โข LinkedIn: https://www.linkedin.com/in/ethanevansvp/ โข X/Twitter: https://x.com/EthanEvansVP โข Newsletter: https://levelupwithethanevans.substack.com/ โข YouTube: https://www.youtube.com/channel/UC-BAdkBGjOIlccGLZ3jbLiA ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| The Co-Creator of Kubernetes On Convincing Google, Building It, and Scaling for LLMs | 23 mars 2026 | 01:07:15 | |
This is a conversation with Brendan Burns, co-creator of Kubernetes and current technical fellow at Microsoft working on Azure. We discussed what it was like building it at Google, how he got buy-in, and what he learned along the way. ๐ธ My keyboard project: https://read.compose.llc/p/our-keyboard-design-reveal ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข YouTube: https://youtu.be/FKijpCEH9D8 โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/the-creator-of-kubernetes-on-building ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00:00 - Intro 00:00:37 - How he convinced Google leaders 00:09:26 - Building the MVP 00:11:43 - How he made time for Kubernetes 00:25:28 - Technical details on building Kubernetes 00:38:46 - Rallying the open source community 00:50:01 - Scaling Kubernetes up for AI training workloads 00:55:31 - Reflections on getting a PhD 01:00:22 - The inevitable trajectory of software is death 01:04:16 - Top book recommendations 01:05:22 - Advice for his younger self 01:06:21 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐ฟ๐ฒ๐ป๐ฑ๐ฎ๐ป: โข LinkedIn: https://www.linkedin.com/in/brendan-burns-487aa590/ โข Twitter/X: https://x.com/brendandburns โข Github: https://github.com/brendandburns ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Meta Hiring Lead On Behind The Scenes of Senior+ Eng Hiring | 16 mars 2026 | 01:42:39 | |
Austen McDonald is a former hiring committee member at Meta, where he led mobile hiring and conducted hundreds of interviews. In this episode, we talked about what happens behind the scenes in a hiring committee, unethical candidates, and the role referrals play. ๐ธ (Sponsor) Hello Interview's Website - https://www.hellointerview.com/ ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข YouTube: https://youtu.be/nOapM8i5jr0 โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/meta-hiring-lead-on-behind-the-scenes ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00:00 - Intro 00:00:49 - What goes on in hiring committees 00:09:02 - Unethical candidates 00:12:50 - How leveling is determined 00:23:12 - Can you negotiate level mid-process 00:32:30 - How non-tech leads can signal scope 00:39:11 - Referrals and bias 00:45:28 - What the rubric looks like 00:50:00 - OpenAI and Anthropic specific discussion 00:52:22 - Most common mistakes senior candidates make 01:02:31 - How to prep depending on your level 01:08:34 - Subjectivity and bias 01:21:02 - The questions you ask at the end matter 01:23:59 - Storytelling tips 01:30:31 - How he got promoted to Senior Manager (M2) at Meta 01:33:32 - His biggest career regret 01:38:13 - The best advice he ever received 01:39:54 - Advice for younger self 01:41:46 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐๐๐๐ฒ๐ป: โข LinkedIn - https://www.linkedin.com/in/austenmc/ โข His book - https://thebehavioral.tech/ ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| OpenAI Codex Tech Lead On How His Career Grew And How He Uses Codex | Michael Bolin | 09 mars 2026 | 01:20:03 | |
This is Michael Bolin, the tech lead for the open source Codex repository and a former distinguished engineer at Meta. We talked about his career path, how OpenAI engineers use Codex and the difference between research-led vs engineering-led company cultures. ๐ธ My keyboard project: https://read.compose.llc/p/our-keyboard-design-reveal ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข YouTube: https://youtu.be/hN5ZFzWFhhg โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/openai-codex-tech-lead-on-how-his ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00:00 - Intro 00:00:56 - Chickenfoot 00:02:45 - Working at Google 00:06:34 - Overhauling Facebook's build system 00:16:36 - Rewriting Facebook's IDE 00:26:01 - Struggles after Principal Eng (E8) promo 00:28:39 - Building a virtual filesystem for Facebook 00:35:47 - Delayed Distinguished promo (E9) and learnings 00:39:56 - Joining OpenAI 00:43:05 - Research-led vs engineering-led cultures 00:44:53 - The story behind Codex 00:51:00 - How he uses Codex 00:57:00 - Why Codex's harness is open source 00:59:50 - Top technical book recommendations 01:05:02 - Why deep technical skills are still valuable (for now) 01:11:07 - How to start projects well 01:14:27 - Advice on writing better and career planning 01:17:06 - Advice for his younger self 01:19:10 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ ๐ถ๐ฐ๐ต๐ฎ๐ฒ๐น: โข His personal blog - https://blog.bolinfest.com/ โข Twitter/X - https://x.com/bolinfest โข Threads - https://www.threads.com/@bolinfest โข LinkedIn - https://www.linkedin.com/in/michael-bolin-7632712 ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Distinguished Eng On Stack Ranking, Competing with Bezos, Regrets | Bryan Cantrill | 02 mars 2026 | 01:21:50 | |
Bryan Cantrill was a distinguished engineer at Sun Microsystems and has now founded his own company called Oxide Computer Company. We discussed his career experiences through boom/busts, what competing with Bezos was like, and career regrets. ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข YouTube: https://youtu.be/qhSL-5GtmQM โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/distinguished-eng-on-stack-ranking ๐๐ฝ๐ถ๐๐ผ๐ฑ๐ฒ ๐น๐ถ๐ป๐ธ๐: โข Link to the part in the talk on Oracle/Sun we discussed - https://youtu.be/-zRN7XLCRhc?si=eExjIMZROGjJcDsw&t=1977 ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00:00 - Intro 00:00:42 - Working at Sun Microsystems 00:10:17 - His growth to distinguished eng 00:19:14 - Why goaling on promotion is bad 00:29:34 - Stack ranking and layoffs 00:36:00 - Why he hated the Oracle acquisition 00:44:19 - Why Bezos is the apex predator of capitalism 00:48:04 - Differences between CTO and VP 00:49:58 - Starting his own company 01:02:37 - Grilling him on his past 01:11:57 - AI boom and bust advice 01:14:41 - When he was happiest in his career 01:17:22 - Top career regret 01:19:21 - Advice for younger self 01:20:57 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐ฟ๐๐ฎ๐ป: โข LinkedIn - https://www.linkedin.com/in/bryan-cantrill-b6a1/ โข Twitter/X - https://x.com/bcantrill โข Personal Website - https://bcantrill.dtrace.org/ โข His company - https://oxide.computer/ ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Turing Award Winner On Thinking Clearly, Paxos vs Raft, Working With Dijkstra | Leslie Lamport | 23 fรฉvr. 2026 | 01:10:18 | |
I interviewed Leslie Lamport, a Turing Award winner known for his contributions to distributed systems and the inventor of the Paxos algorithm. We walked through the major contributions of his career for the stories behind them and what he learned along the way. ๐ธ My keyboard project: https://read.compose.llc/p/our-keyboard-design-reveal ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข YouTube: https://youtu.be/U719vQz-WFs โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/turing-award-winner-on-working-with ๐๐ฝ๐ถ๐๐ผ๐ฑ๐ฒ ๐น๐ถ๐ป๐ธ๐: โข Bakery Problem Paper: https://lamport.azurewebsites.net/pubs/bakery.pdf โข Time Clocks Paper (most cited): https://lamport.azurewebsites.net/pubs/time-clocks.pdf โข The Byzantine Generals Problem Paper: https://lamport.azurewebsites.net/pubs/byz.pdf โข The Paxos Algorithm Paper: https://lamport.azurewebsites.net/pubs/lamport-paxos.pdf ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00:00 - Intro 00:01:25 - The Bakery Algorithm 00:08:28 - Experiences with Dijkstra 00:14:44 - His most cited paper 00:23:26 - The "Byzantine Generals" problem 00:38:05 - The Paxos Algorithm 00:46:57 - Paxos vs Raft Algorithm 00:51:26 - Building LaTeX 00:54:45 - Why writing improves your thinking 01:00:21 - Why he wasn't an academic 01:02:08 - Grand theory of concurrency 01:07:25 - Why he doesn't think he's smart 01:09:07 - Advice for his younger self 01:09:44 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐ฒ๐๐น๐ถ๐ฒ: โข His works: https://lamport.azurewebsites.net/pubs/pubs.html ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Retired Netflix Engineering Director On Regrets, Video Engineering, Hiring Stories | 16 fรฉvr. 2026 | 01:19:11 | |
David Ronca joined Netflix in 2007 and grew to an engineering director there. Later he joined Meta as a Director and transitioned to a Principal engineer working on video technologies. Now he's retired and was graciously willing to share his career story with us. I asked him for everything he learned in his 36 year career. ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข Transcript: https://www.developing.dev/p/retired-netflix-engineering-director โข YouTube: https://youtu.be/ApG9vjbHDCk โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 ๐๐ฝ๐ถ๐๐ผ๐ฑ๐ฒ ๐น๐ถ๐ป๐ธ๐: โข Netflix culture memo (2009) - https://www.slideshare.net/slideshow/culture-1798664/1798664 ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00:00 - Intro 00:00:40 - How Netflix was different 00:08:01 - The legendary Netflix culture memo 00:18:54 - How to hire engineers well 00:30:52 - The strongest engineer he's ever met 00:33:02 - Joining Meta 00:50:52 - Near death experience 00:59:04 - Where he learned the most 01:04:09 - Book that impacted his career most 01:11:33 - Advice for his younger self 01:18:32 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐ฎ๐๐ถ๐ฑ: โข LinkedIn: https://www.linkedin.com/in/davidronca/ โข Personal Website: https://www.roncatech.com/ ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Meta Distinguished Eng (IC9) On Influencing Engs, Failures, and Learnings | 09 fรฉvr. 2026 | 00:40:45 | |
This is Adam Ernst, a Distinguished Engineer at Meta (IC9) whoโs built iOS infrastructure that has impacted the entire company. We talked about how his career grew, a major failed project of his, and everything he learned growing to that level. ๐ธ My keyboard project link: https://read.compose.llc/p/our-keyboard-design-reveal ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข YouTube: https://youtu.be/YA_OYJF3Mmw โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/meta-distinguished-eng-ic9-on-influencing ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00:00 - Intro 00:00:47 - His middle school company 00:03:50 - His first project and promo at Meta 00:10:03 - Why code review is undervalued 00:12:42 - Senior Staff (IC7) promo story and project 00:19:26 - His major failed project 00:26:35 - How to handle a failed project 00:29:04 - Thoughts on management 00:31:35 - Technical depth vs breadth 00:33:32 - IC9 expectations 00:34:46 - Senior engineers he admires 00:37:39 - Advice for his younger self 00:39:52 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐ฑ๐ฎ๐บ: โข LinkedIn: https://www.linkedin.com/in/adamjernst/ ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Instagram Principal Eng (IC8) On Building IG Stories, 1 Promo Per Half, Small Teams | 02 fรฉvr. 2026 | 01:35:20 | |
Ryan Olson grew from mid-level engineer (IC4) to a principal engineer (IC8) at Instagram through a series of famous projects. The most notable was when he was the lead iOS developer that built Instagram Stories. We discuss his career journey and learnings. ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข Transcript: https://www.developing.dev/p/instagram-principal-eng-ic8-on-building โข Spotify: Episode link from Spotify after scheduling โข YouTube: https://youtu.be/gpVETZnY9Y0 โข Apple: https://podcasts.apple.com/au/podcast/the-peterman-pod/id1777363835 โข Zuckerberg emails I mentioned: Twitter link: https://x.com/TechEmails/status/1944451283236303184 Threads link: https://www.threads.com/@techemails/post/DMDi5IWpPyC ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00:00 - Intro 00:00:31 - Failing his FB interview 00:03:27 - Interning /w future billionaires 00:14:08 - Interview nerves tip 00:16:37 - Early Instagram experiences 00:34:08 - Building Instagram Stories 00:45:03 - 1 promo per half to Staff (IC6) 00:49:51 - Senior staff promo project (IC7) 00:57:37 - IG labs & his principal promo (IC8) 01:08:19 - Starting Retro and leaving big tech 01:21:33 - Small teams hypothetical 01:25:17 - Examples of talented individuals 01:31:16 - Advice to his younger self 01:34:45 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Retro (his company): https://retro.app/ โข LinkedIn: https://www.linkedin.com/in/ryanolsonk/ โข X/Twitter: https://x.com/ryanolsonk โข Instagram: https://www.instagram.com/ryanolsonk/ โข Threads: https://www.threads.com/@ryanolsonk ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Honest Big Tech Layoff Story After 25 Year Career | 30 janv. 2026 | 00:50:28 | |
In this episode, I talked to "Asian Dad Energy" an anonymous big techie who was laid off after 25 years in the industry. We discussed his layoffs experience, his early career in engineering consulting, and the realities of big tech compensation. ๐ธ My keyboard project link: https://read.compose.llc/p/our-keyboard-design-reveal ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข YouTube: https://youtu.be/8bs6KmJX4_g โข Spotify: https://open.spotify.com/episode/4ApCuf04MXv0nBRqKNLyiQ?si=bko-M46xQM2FHhTG6Vcy6Q โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/laid-off-from-big-tech-after-25-years ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00:00 - Intro 00:00:41 - His layoff story 00:07:02 - Why he expects more layoffs 00:09:42 - Tech consulting before big tech 00:19:25 - Consultants shipping bad code? 00:26:57 - Why do people dislike consultants? 00:30:55 - Big tech compensation 00:40:27 - When age impacted his flexibility 00:42:04 - Why YouTube 00:46:46 - Speaking advice for engineers 00:49:09 - Advice for younger self 00:49:35 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ต๐ถ๐บ: โข https://www.youtube.com/@AsianDadEnergy ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Ex-Citadel Quant and AI Researcher On Breaking In, Tech vs Finance Careers | 26 janv. 2026 | 00:58:26 | |
In this episode, I talked to Nimit Sohoni, a Stanford PhD and AI Researcher at Cartesia who previously worked as a quant at Citadel. We discussed the differences between AI research and quant careers, including work-life balance and the value of a PhD in these fields. Nimit also shared what he's currently working on and offered advice for those looking to transition into AI research. ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข YouTube: https://youtu.be/_jECS37M3dQ โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/stanford-phd-ai-researcher-and-quant ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00:00 - Intro 00:00:45 - Do you need a PhD? 00:06:25 - Research taste and finding problems 00:09:04 - Why become a quant 00:12:01 - What quants do 00:14:53 - How quants and SWEs collaborate 00:16:29 - Quant vs tech culture 00:26:39 - Quant firm tier list 00:27:56 - Quant insider trading and perf culture 00:30:53 - Going back to AI research 00:35:08 - Who the top competitors are in voice AI 00:39:22 - AI startups vs big labs 00:42:08 - State space models vs transformers 00:49:33 - AI labs: research or product? 00:52:38 - Advice for SWEs who want to try AI research 00:56:48 - Advice for younger self 00:57:49 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ก๐ถ๐บ๐ถ๐: โข Twitter/X: https://x.com/nimit_sohoni โข LinkedIn: https://www.linkedin.com/in/nimit-sohoni-68998854/ โข Cartesia: https://cartesia.ai/sonic ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Meta Senior Staff (IC7) Eng's Honest Demotion Story | 23 janv. 2026 | 00:49:41 | |
In this episode, I talked to Igor, a senior staff engineer who has worked at Meta, Google, and Cruise. We discussed his experience of wanting a demotion at Meta and the challenges he faced in that process. ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข YouTube: https://youtu.be/i1iBweuOQI4 โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 โข Transcript: https://www.developing.dev/p/meta-senior-staff-ic7-engs-honest ๐๐ฝ๐ถ๐๐ผ๐ฑ๐ฒ ๐น๐ถ๐ป๐ธ๐: โข Igor's post: https://www.linkedin.com/feed/update/urn:li:activity:7401415295409700864/ ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00:00 - Intro 00:00:37 - Why he wanted a demotion 00:07:32 - Why Senior Staff at Meta was different 00:16:01 - Meta vs Google culture 00:19:09 - Downleveling at Google 00:23:17 - Why he's willing to be transparent 00:25:11 - Best quality of life eng level 00:30:42 - Senior Staff promo at Google 00:42:27 - Mentorship stories 00:43:11 - Biggest career regret 00:46:46 - Advice for younger self 00:49:06 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐ด๐ผ๐ฟ: โข LinkedIn: https://www.linkedin.com/in/igorts/ โข ML basics youtube videos he made: https://www.youtube.com/playlist?list=PLVcptlT8D7DgN5FtLMFUdHb5pJXW1g0YL ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Airbnb Staff Eng on How To Not Get Stuck at Senior and Untold Rules of Calibrations | 19 janv. 2026 | 01:01:08 | |
Laurent Charignon was a Staff engineer at Stripe, Airbnb, and Instagram with some experience in management as well. We discussed the unspoken rules you learn as a manager, how he transitioned, what good mentorship looks like, and advice for senior engineers who are stuck looking to grow to Staff. ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข Transcript: https://www.developing.dev/p/airbnb-staff-eng-on-how-to-not-get โข YouTube: https://youtu.be/cgQY_1Uz2b8 โข Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00:00 - Intro 00:00:44 - Joining Airbnb and transitioning to EM 00:18:29 - Untold rules of calibrations 00:23:50 - How to dispute bureaucracy 00:29:54 - Airbnb culture 00:31:36 - Leaving Airbnb for Meta 00:35:56 - Uber TL at Stripe 00:42:52 - How to scale yourself 00:45:22 - What people get wrong in coaching 00:52:58 - Why people get stuck at Senior eng 00:57:24 - Most career impacting book 00:58:39 - Advice for younger self 01:00:27 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐ฎ๐๐ฟ๐ฒ๐ป๐: โข LinkedIn: https://www.linkedin.com/in/laurentcharignon/ โข Personal Website: https://blog.laurentcharignon.com/ โข Twitter/X: https://x.com/lc2817 ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| New Grad to Principal Engineer (IC8) at Meta (Career Story) | 12 janv. 2026 | 00:56:17 | |
Adrien Friggeri went from a new grad to a principal engineer (IC8) at Meta. He is the original TL who started Bento if youโre familiar with that infra at the company. He got to where he was through a series of promotions across different teams and projects. I interviewed him about everything he learned along the way ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข Transcript: https://www.developing.dev/p/new-grad-to-principal-engineer-ic8 โข YouTube: https://youtu.be/2Sjzd9pt6Ts โข Apple: https://podcasts.apple.com/au/podcast/the-peterman-pod/id1777363835 ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00 - Intro 00:43 - First team at FB 07:24 - Senior promo /w IG 16:30 - Story behind Bento (Senior staff promo) 25:33 - Taking on perf risk to start the project 29:03 - Learnings from leaving big tech 32:46 - Joining Clubhouse 35:08 - Return to Meta (again) 40:51 - Principal promo (IC8) and tips 51:37 - Maximizing your luck /w people 54:26 - Advice for younger self 55:42 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐ฑ๐ฟ๐ถ๐ฒ๐ป: โข LinkedIn: https://www.linkedin.com/in/friggeri/ โข Instagram: https://www.instagram.com/adrien/ โข Personal Website: https://friggeri.net/ ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Anthropic Eng Leader And Ex-Senior Director at Meta On Microsoft vs Facebook, Career Learnings | 04 janv. 2026 | 00:29:49 | |
Fiona Fung currently supports the Claude Code team at Anthropic and was previously a Senior Director at Meta. She grew quickly through the ranks at Microsoft and Meta before joining Anthropic. I interviewed her about what she learned along the way. ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข Transcript: https://www.developing.dev/p/anthropic-eng-leader-and-ex-senior โข YouTube: https://youtu.be/b5-d8u-c99s โข Apple: https://podcasts.apple.com/au/podcast/the-peterman-pod/id1777363835 ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00 - Intro 00:38 - Impact vs team health 03:04 - Managing managers for the first time 05:31 - Advice on mentoring others 06:55 - What you should use 1 on 1s for 07:56 - Leaving Microsoft for Facebook 10:59 - Microsoft vs Facebook culture 12:01 - Why dogfooding is important 21:25 - Joining Anthropic 27:23 - Feedback that changed her career 28:43 - Advice for younger self 29:14 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐ถ๐ผ๐ป๐ฎ: โข LinkedIn: https://www.linkedin.com/in/fionafung/ ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Best Software Engineering Career Advice of 2025 | 29 dรฉc. 2025 | 00:16:20 | |
Hi all, it's been such a fun project for me this year launching this podcast and trying my best to make the content as helpful as possibleAppreciate everyone who has taken the time to watch my videos and give feedback on how to make it betterIt wouldn't be the same without your support! Next year I plan to work hard to keep improving the content, see you in 2026 ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00 - Intro 00:50 - Meta Distinguished Eng (Philip Su) 05:23 - Amazon Principal Eng (Steve Huynh) 06:23 - Google Staff Eng by 28 (Ricky Lee) 07:30 - Meta Staff Eng by 25 (Evan King) 08:51 - Shopify Distinguished Eng (Ilya Grigorik) 10:49 - Amazon VP (Ethan Evans) 12:24 - Meta Senior Staff Eng (Dwayne Reeves) 13:14 - CloudKitchens CTO, Ex Uber Senior Staff (Brian Attwell) 13:55 - Instagram Principal Eng (Jake Bolam) 14:42 - Uber Distinguished Eng (Joakim Recht) 15:03 - Creator of Claude Code, Ex Meta Principal (Boris Cherny) 15:45 - Outro | |||
| Frontline Manager at Meta to Senior Director at Snapchat in 3 Years (Career Story) | 22 dรฉc. 2025 | 00:42:28 | |
Rong Yan went from a frontline manager at Meta to a Senior Director at Snapchat in 3 years. I interviewed him to ask what led to that rocketship career trajectory in management. We went over how he job hopped into his first Director role and much more. ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข Transcript: https://www.developing.dev/p/frontline-manager-at-meta-to-senior โข YouTube: https://youtu.be/BHlko_Mg-Jk โข Apple: https://podcasts.apple.com/au/podcast/the-peterman-pod/id1777363835 ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00 - Intro 00:46 - Joining Facebook 03:06 - Moving up into a Director role 05:09 - Director skill gaps 15:31 - Domain knowledge & management 18:45 - LA vs SF cultures 20:48 - Senior Director growth at Snapchat 22:43 - Evan Spiegel stories 24:59 - Recruitment at higher levels 32:05 - Career planning in hindsight 34:08 - Biggest career regret 35:33 - How much of growth is luck? 38:19 - Advice for younger self 41:53 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐ผ๐ป๐ด: โข LinkedIn: https://www.linkedin.com/in/rong-yan-2004692/ โข Personal Website: https://cs.cmu.edu/~yanrong ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Boris Cherny (Creator of Claude Code) On How His Career Grew | 15 dรฉc. 2025 | 01:24:31 | |
Boris Cherny is the Creator of Claude Code but few people know his full career story. I interviewed him about everything he learned growing at Meta and for insights from his time building Claude Code at Anthropic. ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข Transcript: https://www.developing.dev/p/boris-cherny-creator-of-claude-code โข YouTube: https://youtu.be/AmdLVWMdjOk โข Apple: https://podcasts.apple.com/au/podcast/the-peterman-pod/id1777363835 ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00:00 - Intro 00:00:59 - Starting at FB 00:09:43 - Early side projects and book rec 00:17:05 - Being under leveled 00:18:55 - Staff (IC6) promo story 00:25:19 - Proximity to leadership learnings 00:29:36 - Scoping out work for 100s of engs 00:35:31 - Senior Staff (IC7) promo story 00:44:39 - How to find side projects 00:50:45 - Principal (IC8) promo story 00:54:20 - Building credibility in a new org 01:04:23 - Joining Anthropic 01:10:05 - Why Claude Code succeeded 01:15:56 - Claude Code use outside of code 01:17:22 - What he thinks of competition 01:22:57 - Advice for his younger self 01:23:57 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐ผ๐ฟ๐ถ๐: โข LinkedIn: https://www.linkedin.com/in/bcherny/ โข X/Twitter: https://x.com/bcherny โข Threads: https://www.threads.com/@boris_cherny ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Instagram Senior Staff Eng (IC7) On 3 Promos Through Redefining Expectations (Career Story) | 08 dรฉc. 2025 | 00:53:04 | |
Marius Schulz grew to a Senior Staff Engineer (IC7) at Instagram by redefining expectations three times (once for each promotion). We talked through each promotion and how he did it. There were also interesting learnings from when his promotion got blocked once even though he greatly exceeded expectations. ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข Transcript: https://www.developing.dev/p/instagram-senior-staff-eng-ic7-on โข YouTube: https://youtu.be/OXJHfb_lZII โข Apple: https://podcasts.apple.com/au/podcast/the-peterman-pod/id1777363835 ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00 - Intro 00:55 - Choosing his specialty 02:29 - Greatly exceeding expectations with no promo 08:04 - Senior promo 15:30 - Staff promo 24:43 - Leverage and IC4/5/6 way of solving problems 29:51 - Senior staff promo 44:29 - Career planning past IC7 47:32 - Did IC7+ expectations scare him 49:49 - Advice for his younger self 52:29 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ ๐ฎ๐ฟ๐ถ๐๐: โข LinkedIn: https://www.linkedin.com/in/mariusschulz/ โข X/Twitter: https://x.com/mariusschulz/ โข Threads: https://www.threads.com/@marius.schulz โข Personal Website: https://mariusschulz.com/ ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Robinhood SWE Turned $1B+ Founder on Non-Linear Careers, Being Jaded About Promos, Startup Learnings | 30 nov. 2025 | 00:42:34 | |
Jayendra Jog left Robinhood and raised $35m to start his own crypto startup (Sei Labs). Before he left, he got jaded about software engineering career ladders yet was coasting through promotions at Robinhood. I asked him about how he did that along with a bunch of questions about when to leave your job, how to raise money, and what to expect as a founder. ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข Transcript: https://www.developing.dev/p/quitting-robinhood-and-raising-35m?open=false โข YouTube: https://youtu.be/f4eeoetb8t4 โข Apple: https://podcasts.apple.com/au/podcast/the-peterman-pod/id1777363835 ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00:00 - Intro 00:00:54 - Big tech internships 00:04:51 - Joining Robinhood 00:07:58 - Big tech vs startups discussion 00:10:16 - Getting jaded about Robinhood career growth 00:16:04 - Coasting and getting promoted 00:18:54 - Gamestop stories from the inside 00:22:34 - Leaving Robinhood 00:30:25 - Learnings from raising $35m 00:34:07 - What value does crypto provide? 00:37:47 - Learnings and when to leave 00:40:41 - Advice for his younger self 00:41:58 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐ฎ๐: โข LinkedIn: https://www.linkedin.com/in/jayendrajog โข X/Twitter: https://x.com/jayendra_jog โข His Company: https://x.com/Sei_Labs ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| CloudKitchens CTO on Intelligence, Regrets, Steve Jobs and Travis Kalanick Stories | 21 nov. 2025 | 00:59:23 | |
Brian Attwell grew to Senior Staff at Uber by age 25. After that he left Uber to join CloudKitchens (Travis Kalanickโs current startup) and quickly became the CTO after his team doubled in size every 6 months. I asked him about how he did it. He also had a bunch of interesting takes about big tech and stories about Travis Kalanick and Steve Jobs. ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข Transcript: https://www.developing.dev/p/cloudkitchens-cto-on-intelligence โข YouTube: https://youtu.be/egNtHu4q-vI โข Apple: https://podcasts.apple.com/au/podcast/the-peterman-pod/id1777363835 ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00:00 - Intro 00:01:26 - Growth to Senior Staff at Uber 00:10:05 - Was it luck? 00:11:45 - Interviewing for IQ 00:18:02 - Intelligence and prioritization 00:22:19 - How his team doubled every 6 months 00:28:30 - Manager promos tied to scope 00:39:13 - Amazon and Google brutal honesty 00:43:39 - CloudKitchens behind the scenes 00:50:24 - Biggest career regret 00:54:17 - Travis Kalanick experiences 00:56:01 - Most impactful advice received 00:56:56 - Most impactful book for career 00:57:53 - Advice for his younger self 00:58:48 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐ฟ๐ถ๐ฎ๐ป: โข LinkedIn: https://www.linkedin.com/in/brian-attwell/ โข X/Twitter: https://x.com/attwellbrian โข CloudKitchens: https://cloudkitchens.com/careers/ โข CloudKitchens tech blog: https://techblog.cloudkitchens.com/ ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Uber Distinguished Eng On Unfair Promos, Influence, Engineering Regrets (Career Story) | 11 nov. 2025 | 01:26:52 | |
Joakim Recht grew to a Distinguished Engineer at Uber and I asked him what it took to get there. We covered his full career including the project that got him promoted, what makes a great software engineer, and learnings from promo committees. ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข Transcript: https://www.developing.dev/p/uber-distinguished-eng-on-unfair โข YouTube: https://youtu.be/feNh_ubBAMI โข Spotify: https://open.spotify.com/show/0MX9PyeCzDhdlyRv6slwIX โข Apple: https://podcasts.apple.com/au/podcast/the-peterman-pod/id1777363835 ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00:00 - Intro 00:00:56 - Distinguished promo project 00:19:07 - How to grow your influence 00:22:38 - Unfair promo story 00:33:09 - On delegation 00:39:05 - Why engs donโt trust management 00:47:58 - Politics as he grew 00:57:00 - How to pick mentees 01:03:22 - Why he left Uber 01:15:16 - Biggest Uber eng mistake 01:20:15 - Uber scandals 01:24:35 - Advice for younger self 01:26:14 - Outro ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐ผ๐ฎ๐ธ๐ถ๐บ: โข LinkedIn: https://www.linkedin.com/in/recht/ ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||
| Shopify Distinguished Eng (L10) on Principal+ Engineering, Career Story, Regrets | 24 oct. 2025 | 00:50:27 | |
Ilya Grigorik grew to a Distinguished Engineer (VP-level role) at Shopify and I asked him what it took to get there. We covered his full career including the behind the scenes of his startup getting acquired by Google, his growth to Director at Google, and what it means to operate like a Distinguished engineer. ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐น๐ถ๐ป๐ธ๐: โข Transcript: https://www.developing.dev/p/distinguished-engineer-at-shopify โข Spotify: https://open.spotify.com/show/0MX9PyeCzDhdlyRv6slwIX โข Apple: https://podcasts.apple.com/au/podcast/the-peterman-pod/id1777363835 ๐ง๐ถ๐บ๐ฒ๐๐๐ฎ๐บ๐ฝ๐: 00:00:00 - Intro 00:00:45 - Thoughts on Waterloo 00:04:36 - Starting his own company 00:08:40 - Google acquisition story 00:14:04 - Joining Google 00:20:28 - Switching back to IC 00:26:42 - Principal+ Engineering at Shopify 00:40:09 - Career regrets 00:44:53 - Top career-impacting book 00:46:59 - Advice for younger self ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐๐น๐๐ฎ: โข YouTube: https://www.youtube.com/@igrigorik โข LinkedIn: https://www.linkedin.com/in/igrigorik/ โข X/Twitter: https://x.com/igrigorik โข Personal Website: https://ilya.grigorik.com/ ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐ณ๐ถ๐ป๐ฑ ๐ฅ๐๐ฎ๐ป: โข Newsletter: https://www.developing.dev/ โข X/Twitter: https://x.com/ryanlpeterman โข LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ โข Threads: https://www.threads.com/@ryanlpeterman โข Instagram: https://www.instagram.com/ryanlpeterman โข TikTok: https://www.tiktok.com/@ryanlpeterman | |||