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The Peterman Pod: Daily Summaries Delivered
by Ryan Peterman
Sharing the transparent career stories of technical people. Hosted by an ex-Staff engineer at Instagram
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- 4 days ago2h 15m
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-zeroThank 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: Intro P vs NP What if you relaxed correctness Why NP complete problems are equivalent Space vs time complexity Why people use SAT solvers Randomness is a resource Randomness depends on computational power Zero knowledge proofs and their significance Quantum computation and why it matters Math vs computer science Major breakthroughs and his experience Advice for his younger self OutroWhere to find Avi:• Wikipedia: https://en.wikipedia.org/wiki/Avi_Wigderson• Personal Website: https://www.math.ias.edu/avi/homeWhere 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/@ryanlpetermanReferenced 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
- 1 weeks ago2h 1m
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-building𝗧𝗵𝗮𝗻𝗸 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:0:00 - Intro0:53 - Systems work during his PhD13:05 - Dropbox technical deep dive21:57 - Why Dropbox migrated from AWS36:40 - How to do massive migrations44:31 - Simplicity vs complexity in promos49:23 - What technical teams should be focused on1:00:25 - Doing the right thing vs promo hypothetical1:08:13 - Why he dipped into management sometimes1:11:36 - Why you shouldn't lead by example1:23:23 - How to mentor Senior Staff+ engineers1:27:30 - Career advice for the AI era1:37:21 - Why he started his own company1:46:05 - The most technically challenging work of his career1:48:10 - How he got involved in Silicon Valley1:52:16 - Career regrets1:55:54 - Top technical book recommendation1:56:36 - Younger self & permanent underclass advice𝗪𝗵𝗲𝗿𝗲 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/@ryanlpeterman𝗥𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝗱 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 weeks ago1h 59m
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-overhead𝗧𝗵𝗮𝗻𝗸 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 - Intro0:50 - The origin of C++8:46 - What Bell Labs was like17:24 - Dennis Ritchie24:00 - When to build a programming language31:59 - Bootstrapping a language33:58 - C++ is not object-oriented37:32 - Discussing type systems46:20 - Memory safety49:26 - Standards committee anecdotes1:09:40 - Adding automatic garbage collection to C++1:18:25 - Template instantiation is Turing complete1:21:57 - Abstraction and performance1:28:51 - AI writing code1:35:54 - His motivation1:39:18 - Famous quotes1:46:48 - Reflecting on building C++1:49:12 - Top C++ book recommendation1:50:59 - Advice for his younger self1:58:06 - Outro𝗪𝗵𝗲𝗿𝗲 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/@ryanlpeterman𝗥𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝗱 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
- 3 weeks ago1h 4m
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-matters𝗧𝗵𝗮𝗻𝗸 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 - Intro1:09 - Getting into computer science3:27 - Becoming the professor of CS5011:19 - How to lecture well14:25 - Depth vs engagement in education18:11 - Why don't we consolidate educational resources23:20 - Why start with C31:51 - The ideal use of AI in education34:54 - Cheating and AI38:21 - Should we really learn CS still?45:24 - College vs online education47:06 - The most difficult concept to learn51:00 - Growth vs fixed mindset52:35 - The future of CS5055:56 - Biggest career regret1:00:29 - Top book recommendations1:02:36 - Advice for his younger self1:03:35 - Outro𝗪𝗵𝗲𝗿𝗲 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/@davidjmalan𝗪𝗵𝗲𝗿𝗲 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/@ryanlpeterman𝗥𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝗱 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
- May 4, 202643 min
MSL Eng Director: Promo Hacking, Industry Shifts, Regrets | John Myles White
John Myles White recently left his role as a director of engineering at MSL so we spoke freely about promo culture, how big tech has changed, and how his career grew.𝗣𝗼𝗱𝗰𝗮𝘀𝘁 𝗹𝗶𝗻𝗸𝘀:• YouTube: https://youtu.be/aPfnP4iAIH8• Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835• Transcript: https://www.developing.dev/p/msl-eng-director-promo-hacking-industry𝗕𝗿𝗼𝘂𝗴𝗵𝘁 𝘁𝗼 𝘆𝗼𝘂 𝗯𝘆:• Cursor 3: a unified workspace for building software with agents, check it out at https://cursor.com/• My ergonomic keyboard project, you can follow along here: https://read.compose.llc/ 𝗧𝗶𝗺𝗲𝘀𝘁𝗮𝗺𝗽𝘀:0:00 - Intro0:54 - Is he bullish on MSL5:23 - Running promotions at Meta15:15 - Growing at Meta22:22 - Julia core language contributor29:24 - Academics failing into industry31:48 - Stats book recommendations38:02 - Biggest career regret41:05 - Advice for his younger self42:46 - Outro𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗝𝗼𝗵𝗻:• LinkedIn: https://www.linkedin.com/in/john-myles-white-115697180/• X/Twitter: https://x.com/johnmyleswhite• Personal Website: https://www.johnmyleswhite.com/• Github: https://github.com/johnmyleswhite𝗪𝗵𝗲𝗿𝗲 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/@ryanlpeterman𝗥𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝗱 𝗶𝗻 𝘁𝗵𝗶𝘀 𝗲𝗽𝗶𝘀𝗼𝗱𝗲:• Evaluating the design of the R language - https://www.researchgate.net/publication/240040602_Evaluating_the_Design_of_the_R_Language• Stats book he mentioned (not affiliate link) - https://www.amazon.com/Foundations-Agnostic-Statistics-Peter-Aronow/dp/1316631141• Stats book he mentioned (not affiliate link) - https://www.amazon.com/All-Statistics-Statistical-Inference-Springer/dp/0387402721
- Apr 27, 202634 min
Turing Award Winner: Data Abstraction, Dijkstra, Distributed Systems | Barbara Liskov
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.🔸 My keyboard Kickstarter: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done𝗣𝗼𝗱𝗰𝗮𝘀𝘁 𝗹𝗶𝗻𝗸𝘀:• YouTube: https://youtu.be/T9CGjbPZeaM• Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835• Transcript: https://www.developing.dev/p/turing-award-winner-data-abstraction𝗘𝗽𝗶𝘀𝗼𝗱𝗲 𝗹𝗶𝗻𝗸𝘀:• Go To Statement Considered Harmful: https://homepages.cwi.nl/~storm/teaching/reader/Dijkstra68.pdf• Viewstamped Replication: https://www.cs.princeton.edu/courses/archive/fall09/cos518/papers/viewstamped.pdf𝗧𝗶𝗺𝗲𝘀𝘁𝗮𝗺𝗽𝘀:0:00 - Intro1:00 - Getting rejected from Princeton2:53 - The software crisis9:03 - The drawbacks of Python10:17 - Getting into distributed computing13:09 - Paxos vs Viewstamped replication21:44 - The significance of Dijkstras letter25:04 - Why she stayed in academia30:39 - Why her award was questioned33:51 - Outro𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗕𝗮𝗿𝗯𝗮𝗿𝗮:• Wikipedia: https://en.wikipedia.org/wiki/Barbara_Liskov𝗪𝗵𝗲𝗿𝗲 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
- Apr 20, 202656 min
Turing Award Winner: Postgres, Disagreeing with Google, Future Problems | Mike Stonebraker
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.🔸 My keyboard Kickstarter: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done𝗣𝗼𝗱𝗰𝗮𝘀𝘁 𝗹𝗶𝗻𝗸𝘀:• YouTube: https://youtu.be/YPObBOwIrHk• Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835• Transcript: https://www.developing.dev/p/turing-award-winner-postgres-disagreeing𝗘𝗽𝗶𝘀𝗼𝗱𝗲 𝗹𝗶𝗻𝗸𝘀:• Red book of database readings: http://www.redbook.io/• BEAVER: An Enterprise Benchmark for Text-to-SQL: https://arxiv.org/abs/2409.02038𝗧𝗶𝗺𝗲𝘀𝘁𝗮𝗺𝗽𝘀:0:00 - Intro1:03 - How he got into databases6:43 - Competing with Oracle9:07 - What made Postgres special15:55 - One size fits none21:37 - Why he disagreed with Google29:14 - Why he chose academia over big tech30:58 - Replacing state in an OS with a DB42:02 - Future problems in databases51:36 - Technical book recommendations to learn databases52:20 - Advice for younger self55:52 - Outro𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗠𝗶𝗸𝗲:• His current company DBOS: https://dbos.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
- Apr 13, 20261h 11m
AWS Distinguished Eng: Learning From 3000 Incidents And How Engineering Is Changing | Marc Brooker
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.🔶 My keyboard Kickstarter: https://www.kickstarter.com/projects/ryanlpeterman/compose-simple-ergonomics-beautifully-done𝗣𝗼𝗱𝗰𝗮𝘀𝘁 𝗹𝗶𝗻𝗸𝘀:• YouTube: https://youtu.be/u3GjIXP9N0s• Spotify: https://open.spotify.com/episode/1qX2GfpbzxzGpGvDZVINdO?si=wsDGZo9PTbCNalKVybFVnA• Apple: https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835• Transcript: https://www.developing.dev/p/aws-distinguished-eng-learnings-from𝗘𝗽𝗶𝘀𝗼𝗱𝗲 𝗹𝗶𝗻𝗸𝘀:• Post we discussed on hobbies and apparent expertise: https://brooker.co.za/blog/2023/04/20/hobbies.html• Post on software engineering changing: https://brooker.co.za/blog/2026/02/07/you-are-here.html• Post about Senior engineers and AI: https://brooker.co.za/blog/2026/03/20/ic-leadership.html• Post on Junior engineers and AI: https://brooker.co.za/blog/2026/03/25/ic-junior.html𝗧𝗶𝗺𝗲𝘀𝘁𝗮𝗺𝗽𝘀:0:00 - Intro1:27 - Finding problems that matter11:42 - Learnings from 3000 postmortems23:58 - Why caches are bad29:37 - How AI will change software engineering36:49 - Advice for junior engineers given AI44:02 - Thoughts for senior engineers49:59 - Why engineers should write57:51 - Visibility and apparent expertise1:04:23 - AWS engineers he admires1:06:53 - Technical book recommendations1:09:06 - Advice for his younger self1:10:37 - Outro𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗠𝗮𝗿𝗰:• LinkedIn: https://www.linkedin.com/in/marc-brooker-b431772b/• Twitter/X: https://x.com/MarcJBrooker• Personal Blog: https://brooker.co.za/blog/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
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Sharing the transparent career stories of technical people. Hosted by an ex-Staff engineer at Instagram
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