The Peterman Pod

Ryan Peterman

Sharing the transparent career stories of technical people. Hosted by an ex-Staff engineer at Instagram

  1. MIT Complexity Theorist: Why You Can Do Better Than “Optimal” On Leetcode & SAT | Ryan Williams

    -1 j

    MIT Complexity Theorist: Why You Can Do Better Than “Optimal” On Leetcode & SAT | Ryan Williams

    Ryan Williams is a professor at MIT and the winner of the Gödel Prize in theoretical computer science. I interviewed him all about his work starting by asking him a popular Leetcode question (3 SUM). • My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ • The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: • YouTube: https://youtu.be/AaK1SL2i_4Y • Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript: https://www.developing.dev/p/mit-complexity-theorist-on-leetcode Thank you to this episode's sponsor for supporting my work: • 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: • Wikipedia: https://en.wikipedia.org/wiki/Ryan_Williams_(computer_scientist) • Website: https://people.csail.mit.edu/rrw/ • LinkedIn: https://www.linkedin.com/in/r-ryan-williams-a1b534a/ • X/Twitter: https://twitter.com/rrwilliams Where to find Ryan: • Newsletter: https://www.developing.dev/ • X/Twitter: https://x.com/ryanlpeterman • LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ • Threads: https://www.threads.com/@ryanlpeterman • Instagram: https://www.instagram.com/ryanlpeterman • TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: • Some Estimated Likelihoods for Computational Complexity: https://people.csail.mit.edu/rrw/likelihoods.pdf • Simulating Time with Square-Root Space: https://arxiv.org/abs/2502.17779 • Cook and Mertz's tree evaluation paper: https://dl.acm.org/doi/10.1145/3618260.3649664

    1 h 13 min
  2. OpenAI Eng & Dev Tools Founder: How Software Engineering Is Changing | Charlie Marsh

    22 juin

    OpenAI Eng & Dev Tools Founder: How Software Engineering Is Changing | Charlie Marsh

    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. • My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ • The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: • YouTube: https://youtu.be/Iw65FD4MGgs • Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript: https://www.developing.dev/p/openai-eng-and-dev-tools-founder Thank you to this episode's sponsor for supporting my work: • 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: • LinkedIn: https://www.linkedin.com/in/marshcharles/ • GitHub: https://github.com/charliermarsh • X/Twitter: https://x.com/charliermarsh Where to find Ryan: • Newsletter: https://www.developing.dev/ • X/Twitter: https://x.com/ryanlpeterman • LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ • Threads: https://www.threads.com/@ryanlpeterman • Instagram: https://www.instagram.com/ryanlpeterman • TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: • Python tooling could be much, much faster: https://notes.crmarsh.com/python-tooling-could-be-much-much-faster • The coolest PR he's ever seen: https://github.com/astral-sh/uv/pull/789 • Andrew Kelley’s data-oriented design talk: https://www.youtube.com/watch?v=IroPQ150F6c • Ruff: https://github.com/astral-sh/ruff • uv: https://github.com/astral-sh/uv • ty: https://github.com/astral-sh/ty • Salsa: https://github.com/salsa-rs/salsa

    1 h 23 min
  3. Google DeepMind Pre-Training Lead: How To Land a Job at a Frontier Lab | Vlad Feinberg

    15 juin

    Google DeepMind Pre-Training Lead: How To Land a Job at a Frontier Lab | Vlad Feinberg

    Vlad Feinberg is Google DeepMind’s 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. • My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ • The Kickstarter page for it: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done Podcast links: • YouTube: https://youtu.be/cDyi91onoJ8 • Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript: https://www.developing.dev/p/google-deepmind-pre-training-lead Thank you to this episode's sponsor for supporting my work: • 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: • Personal Website: https://vladfeinberg.com/ • Twitter/X: https://x.com/FeinbergVlad • LinkedIn: https://www.linkedin.com/in/vladimirfeinberg/ Where to find Ryan: • Newsletter: https://www.developing.dev/ • X/Twitter: https://x.com/ryanlpeterman • LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ • Threads: https://www.threads.com/@ryanlpeterman • Instagram: https://www.instagram.com/ryanlpeterman • TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: • 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 • ThunderKittens: https://github.com/HazyResearch/ThunderKittens • Deedy's doomer Tweet: https://x.com/FeinbergVlad/status/2056383124829872466?s=20 • Jacob Steinhardt's "Research as a Stochastic Decision Process": https://cs.stanford.edu/~jsteinhardt/ResearchasaStochasticDecisionProcess.html • The Scaling Book: https://jax-ml.github.io/scaling-book/ • Dwarkesh and Reiner's video: https://www.youtube.com/watch?v=xmkSf5IS-zw

    1 h 4 min
  4. Co-Creator of Haskell: Functional Programming, Thinking in Types, Useless Languages | Simon Jones

    8 juin

    Co-Creator of Haskell: Functional Programming, Thinking in Types, Useless Languages | Simon Jones

    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. • My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ Podcast links: • YouTube: https://youtu.be/xcB_LF3cdqw • Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript: https://www.developing.dev/p/co-creator-of-haskell-functional Thank you to this episode's sponsor for supporting my work: • 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: • LinkedIn: https://www.linkedin.com/in/simonpj/ • Wikipedia: https://en.wikipedia.org/wiki/Simon_Peyton_Jones • Personal Website: https://simon.peytonjones.org/ Where to find Ryan: • Newsletter: https://www.developing.dev/ • X/Twitter: https://x.com/ryanlpeterman • LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ • Threads: https://www.threads.com/@ryanlpeterman • Instagram: https://www.instagram.com/ryanlpeterman • TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: • Haskell is useless: https://www.youtube.com/watch?v=iSmkqocn0oQ • John Backus Turing Award lecture: https://worrydream.com/refs/Backus_1978_-_Can_Programming_Be_Liberated_from_the_von_Neumann_Style.pdf • Why functional programming matters: https://www.cs.kent.ac.uk/people/staff/dat/miranda/whyfp90.pdf • Excel is his 2nd favorite programming language: https://www.youtube.com/watch?v=_M4P5M85KO8

    1 h 28 min
  5. Turing Award Winner: P vs NP, Zero-Knowledge Proofs, Quantum Computation | Avi Wigderson

    1 juin

    Turing Award Winner: P vs NP, Zero-Knowledge Proofs, Quantum Computation | Avi Wigderson

    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. • My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ Podcast links: • YouTube: https://youtu.be/5GUcvSAJcJw • Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript: https://www.developing.dev/p/turing-award-winner-p-vs-np-zero Thank you to this episode's sponsor for supporting my work: • 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: • Wikipedia: https://en.wikipedia.org/wiki/Avi_Wigderson • Personal Website: https://www.math.ias.edu/avi/home Where to find Ryan: • Newsletter: https://www.developing.dev/ • X/Twitter: https://x.com/ryanlpeterman • LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ • Threads: https://www.threads.com/@ryanlpeterman • Instagram: https://www.instagram.com/ryanlpeterman • TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: • PCP Theorem paper: https://www.cs.umd.edu/~gasarch/TOPICS/pcp/AS.pdf • Paper on SAT approximation hardness: https://www.cs.umd.edu/~gasarch/BLOGPAPERS/max3satl.pdf • Turing's paper: https://www.cs.virginia.edu/~robins/Turing_Paper_1936.pdf • Original paper on NP completeness: https://www.cs.toronto.edu/~sacook/homepage/1971.pdf • Ryan William's breakthrough result on space vs time: https://people.csail.mit.edu/rrw/time-vs-space.pdf • Old result on space vs time: https://www-wjp.cs.uni-saarland.de/publikationen/HPV75.pdf • Paper describing constant space majority solution: https://people.cs.umass.edu/~barring/publications/bwbp.pdf • Fast primality test paper: https://www.sciencedirect.com/science/article/pii/0022314X80900840/pdf?md5=6f748cd82fa8efa1a637efab5f632baa&pid=1-s2.0-0022314X80900840-main.pdf • Deterministic primality test paper: https://www.cse.iitk.ac.in/users/manindra/algebra/primality_v6.pdf • 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 • Hardness vs randomness paper: https://www.math.ias.edu/~avi/PUBLICATIONS/MYPAPERS/NOAM/HARDNESS/final.pdf • Erdos original sum vs product paper: https://users.renyi.hu/~p_erdos/1983-18.pdf • Terrence Tao sum vs product paper: https://arxiv.org/pdf/math/0301343 • Seminal interactive proof paper: https://www.cs.miami.edu/home/burt/learning/csc609.221/goldwasser-micali-rackoff-knoweldge-complexity.pdf • Zero knowledge proof paper: https://www.math.ias.edu/~avi/PUBLICATIONS/MYPAPERS/GMW86/GMW86.pdf • Shor's algorithm original paper: https://arxiv.org/pdf/quant-ph/9508027 • Lattice paper (new hard problems): https://dl.acm.org/doi/epdf/10.1145/258533.258604 • MIP* vs RE paper: https://arxiv.org/pdf/2001.04383 • Zero knowledge non-interactive proofs: https://eprint.iacr.org/2025/1296.pdf

    2 h 16 min
  6. Dropbox’s Former Most Senior Eng: Building Great Systems and Advice for the AI Era | James Cowling

    25 mai

    Dropbox’s Former Most Senior Eng: Building Great Systems and Advice for the AI Era | James Cowling

    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. • My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ Podcast links: • YouTube: https://youtu.be/3XkmNSuHFmY • Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript: https://www.developing.dev/p/dropboxs-former-most-senior-eng-building Thank you to this episode's sponsor for supporting my work: • 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: • LinkedIn: https://www.linkedin.com/in/jcowling/ • Twitter/X: https://x.com/jamesacowling • His company: https://www.convex.dev/ Where to find Ryan: • Newsletter: https://www.developing.dev/ • X/Twitter: https://x.com/ryanlpeterman • LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ • Threads: https://www.threads.com/@ryanlpeterman • Instagram: https://www.instagram.com/ryanlpeterman • TikTok: https://www.tiktok.com/@ryanlpeterman Referenced in this episode: • His PhD Thesis: https://www.usenix.org/system/files/conference/atc12/atc12-final118.pdf • Masters paper: https://www.cs.princeton.edu/courses/archive/fall19/cos418/papers/vr-revisited.pdf • Papercuts writing he mentioned: https://medium.com/@jamesacowling/embracing-papercuts-e6390055dfc4 • "Don't lead by example": https://medium.com/@jamesacowling/dont-lead-by-example-4f86b1174e64 • His writing about orienting teams around missions: https://medium.com/@jamesacowling/your-system-is-not-a-sports-team-e17f9eb16b94

    2 h 2 min
  7. Creator of C++: Bell Labs, Negative Overhead Abstraction, Mistakes | Bjarne Stroustrup

    18 mai

    Creator of C++: Bell Labs, Negative Overhead Abstraction, Mistakes | Bjarne Stroustrup

    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. • My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ 𝗣𝗼𝗱𝗰𝗮𝘀𝘁 𝗹𝗶𝗻𝗸𝘀: • YouTube: https://youtu.be/U46fJ2bJ-co • Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript: https://www.developing.dev/p/creator-of-c-bell-labs-negative-overhead 𝗧𝗵𝗮𝗻𝗸 𝘆𝗼𝘂 𝘁𝗼 𝘁𝗵𝗶𝘀 𝗲𝗽𝗶𝘀𝗼𝗱𝗲'𝘀 𝘀𝗽𝗼𝗻𝘀𝗼𝗿𝘀 𝗳𝗼𝗿 𝘀𝘂𝗽𝗽𝗼𝗿𝘁𝗶𝗻𝗴 𝗺𝘆 𝘄𝗼𝗿𝗸: • Cursor 3: a unified workspace for building software with agents, check it out at https://cursor.com/ • 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: 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 𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗕𝗷𝗮𝗿𝗻𝗲: • Wikipedia: https://en.wikipedia.org/wiki/Bjarne_Stroustrup • Personal Website: https://www.stroustrup.com/ 𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗥𝘆𝗮𝗻: • Newsletter: https://www.developing.dev/ • X/Twitter: https://x.com/ryanlpeterman • LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ • Threads: https://www.threads.com/@ryanlpeterman • Instagram: https://www.instagram.com/ryanlpeterman • TikTok: https://www.tiktok.com/@ryanlpeterman 𝗥𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝗱 𝗶𝗻 𝘁𝗵𝗶𝘀 𝗲𝗽𝗶𝘀𝗼𝗱𝗲: • "A History of C++": https://www.stroustrup.com/hopl2.pdf • "Evolving a language in and for the real world": https://www.stroustrup.com/hopl-almost-final.pdf • "Thriving in a Crowded and Changing World": https://www.open-std.org/jtc1/sc22/wg21/docs/papers/2020/p2184r0.pdf • The lecture where he mentioned he lost half his hair: https://youtu.be/69edOm889V4?si=IAZxYNwlUALodEV7&t=474 • Quotes I pulled: https://www.stroustrup.com/quotes.html

    1 h 59 min
  8. Harvard Professor: CS50, What Matters More Than CS, Lecturing Well | David J Malan

    11 mai

    Harvard Professor: CS50, What Matters More Than CS, Lecturing Well | David J Malan

    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. • My ergonomic keyboard project I mentioned, you can follow along here: https://read.compose.llc/ 𝗣𝗼𝗱𝗰𝗮𝘀𝘁 𝗹𝗶𝗻𝗸𝘀: • YouTube: https://youtu.be/bB2o81DnKHk • Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript: https://www.developing.dev/p/harvard-professor-cs50-what-matters 𝗧𝗵𝗮𝗻𝗸 𝘆𝗼𝘂 𝘁𝗼 𝘁𝗵𝗶𝘀 𝗲𝗽𝗶𝘀𝗼𝗱𝗲'𝘀 𝘀𝗽𝗼𝗻𝘀𝗼𝗿𝘀 𝗳𝗼𝗿 𝘀𝘂𝗽𝗽𝗼𝗿𝘁𝗶𝗻𝗴 𝗺𝘆 𝘄𝗼𝗿𝗸: • Cursor 3: a unified workspace for building software with agents, check it out at https://cursor.com/ • 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: 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 𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗗𝗮𝘃𝗶𝗱: • Personal website: https://cs.harvard.edu/malan/ • Facebook: https://www.facebook.com/dmalan • Github: https://github.com/dmalan • Instagram: https://www.instagram.com/davidjmalan/ • LinkedIn: https://www.linkedin.com/in/malan/ • Reddit: https://www.reddit.com/user/davidjmalan/ • X/Twitter: https://x.com/davidjmalan • Threads: https://www.threads.com/@davidjmalan 𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗥𝘆𝗮𝗻: • Newsletter: https://www.developing.dev/ • X/Twitter: https://x.com/ryanlpeterman • LinkedIn: https://www.linkedin.com/in/ryanlpeterman/ • Threads: https://www.threads.com/@ryanlpeterman • Instagram: https://www.instagram.com/ryanlpeterman • TikTok: https://www.tiktok.com/@ryanlpeterman 𝗥𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝗱 𝗶𝗻 𝘁𝗵𝗶𝘀 𝗲𝗽𝗶𝘀𝗼𝗱𝗲: • His first program for CS50: https://x.com/davidjmalan/status/1432538424590929920 • Paper about CS50 improvements: https://cs.harvard.edu/malan/publications/fp310-malan.pdf • Hitchhiker's Guide to the Galaxy: https://en.wikipedia.org/wiki/The_Hitchhiker%27s_Guide_to_the_Galaxy • How Computers Work book (not affiliate link): https://www.amazon.com/How-Computers-Work-Evolution-Technology/dp/078974984X

    1 h 4 min
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À propos

Sharing the transparent career stories of technical people. Hosted by an ex-Staff engineer at Instagram

Informations

  • Créateur
    Ryan Peterman
  • Années d’activité
    2024 - 2026
  • Épisodes
    56
  • Classement
    Tout public
  • Copyright
    © Ryan Peterman
  • Site Web de l’émission
    The Peterman Pod

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