Afleveringen
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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
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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
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Zijn er afleveringen die ontbreken?
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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