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François Chollet
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nelder-mead — Pure Python/Numpy implementation of the Nelder-Mead algorithm.
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18 September
Epidemiologist; founded Your Local Epidemiologist in March 2020 to translate public-health science, and consults for organisations including the CDC.
16 September
Co-founder of Superlogical, started in 2026 to build server-side terminal infrastructure; creator of Ghostty. Co-founded HashiCorp and created Vagrant and Terraform before that.
The "whiteboard defense:" I should be able to pull you aside at any moment and ask you to explain any customer-facing system you've shipped. You should be able to clearly explain how it works and defend the decisions you made. This is my benchmark for responsible AI usage. I don't expect line-level familiarity with the code. I don't care if you remember the exact function name or implementation detail. You may not even know it. I don't care. But if I ask "why did you do X instead of Y?", "what happens if this actor behaves maliciously?", "what data structure did you use here and why?", or "wh… benchmarks Related
15 September
Computer science professor who works on fast data processing; co-author of the simdjson parser and a weekly blogger about software performance since 2004.
If anyone wants a nice side project... The fast number parsing fast_float (part of GCC, and other important systems like MySQL) is not always exact when dealing with 16-bit float parsing (specifically float16_t). That is, some number strings can lie in between two numbers and the rounding is wrong. In fact, nobody has done a proper analysis of the implementation to insure that it is correct. Yeah. I could ask my AI, but it is still work, especially because I do not trust anyone, not even an AI, to get it correct the first time around. Contributions invited. github.com
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14 September
Writes The Diff, a newsletter on inflections in finance and tech read by hedge fund managers, founders and VCs. Previously worked in finance at SAC Capital/Point72.
11 September
CEO of Positive Sum and founder of Colossus. Hosts Invest Like the Best, interviewing investors and business leaders; the guests do most of the talking there.
Bonus footage that didn't make the episode. Walter Russell Mead (@wrmead) on his dinners with Fidel Castro: "He could be better than average, and he could be the biggest jerk you ever met. A lot of powerful people who are really good at power are both below and above the norm of human reaction." Quoting @patrick_oshag My conversation with Walter Russell Mead (@wrmead). Walter has spent decades studying how America came to dominate the world and whether it can keep doing it in an era of AI, robotics and what he calls personal politics. He's a columnist at the Wall Street Journal and the author of Special Providen… Related
10 September
CEO of Positive Sum and founder of Colossus. Hosts Invest Like the Best, interviewing investors and business leaders; the guests do most of the talking there.
Walter Russell Mead (@wrmead) on why Xi Jinping fears a US counter-blockade, and how China might try to still take Taiwan: "Xi Jinping is committed to trying to get Taiwan. The Chinese need a very high probability of success to commit themselves past a certain point, because failure would be catastrophic for whoever launched it. I think they're trying to get themselves into a position where they could have a soft blockade. They could give the orders that any ship that wants to go to Taiwan first has to stop at a Chinese port and go through a customs clearing process to assert sovereignty. The… Quoting @patrick_oshag My conversation with Walter Russell Mead (@wrmead). Walter has spent decades studying how America came to dominate the world and whether it can keep doing it in an era of AI, robotics and what he calls personal politics. He's a columnist at the Wall Street Journal and the author of Special Providen… China Related
Former L8 engineer at Meta, Microsoft and Atlassian, now writing and building solo on agentic engineering. Writes Kun's Field Notes and posts a lot about AI coding agents on X.
another implication of AI manifesting in real world engineering react native existed for a single reason which was to reduce the development and maintenance cost of multi-platform mobile apps. they allow you to write a single codebase (kind of) that can work on both ios and android, with a tech stack that many web devs are already familiar with but with AI being particularly good at mechanically repeating something that already exists, replicating one platform's implementation to another has become trivial in general LLMs can write a ton of code at very low cost, especially when there's a sou… LLMs JavaScript Related
8 September
CEO of Positive Sum and founder of Colossus. Hosts Invest Like the Best, interviewing investors and business leaders; the guests do most of the talking there.
x.com Walter Russell Mead (@wrmead) shares a fascinating dispatch on how fast the war in Ukraine is changing, and what it means for the US military: "The first time I went to Ukraine after the war, I went to this drone factory, and it really was remarkable because in real time they were starting to get results from the battlefield, and then they were adapting. But at that time it was very simplistic stuff. They were getting kids' toy trucks and re-engineering them into drones, ground drones that could put a landmine on a tank. I was back there a couple of months ago, and the advances are just unbel… Quoting @patrick_oshag My conversation with Walter Russell Mead (@wrmead). Walter has spent decades studying how America came to dominate the world and whether it can keep doing it in an era of AI, robotics and what he calls personal politics. He's a columnist at the Wall Street Journal and the author of Special Providen… Related
Podcast Walter Russell Mead - How America Keeps Winning - [Invest Like the Best, EP.490] America Related
26 August
Creator of Ruby on Rails, CTO of 37signals, and creator of Omarchy.
From one piece
DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux | Lex Fridman Podcast #501
2 beliefs, in the piece's order there
Their words
And vibe coding, if we define it here, is you tell an agent to build software for you. You do not look at the implementation. That, to me, is what separates vibe coding from programming or, let's say, agent-accelerated development.
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Their words
The other thing I'd say is that most organizations don't know what they want. They don't know how to make it better. They're not bottlenecked on implementation. They're bottlenecked on ideas. They're bottlenecked on vision. They're bottlenecked on taste. And if you don't have those element in excess of your implementational capacity, it doesn't help. So you can make a lot of shitty ideas come true, then what?
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22 August
AI research engineer working on large language models. He writes the Ahead of AI newsletter and is the author of Build a Large Language Model (From Scratch).
A couple of days ago, I did a quick explainer on Claude’s new watermarking process and implementation. Since it’s such a popular topic and sparked such a lively discussion, I thought it might be interesting to go into a bit more detail when explaining how it works. So, instead of the usual text article, I recorded a little lecture on the topic (to change it up a bit from my usual articles). It ended up a bit longer than intended, but I hope it clarifies a lot of things: - Sampling the next token in an LLM and pseudorandom number generators - How watermarking relates to the regular LLM samplin… LLMs Anthropic Related
19 August
Founder and editor-in-chief of MacStories, writing about Apple software, iPad workflows and automation since 2009. He co-hosts the AppStories podcast.
Arguably still the prettiest task manager ever made, Things finally received the ability to mark repeating tasks as done early. Took a while, but they nailed the implementation. culturedcode.com
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14 August
Systems and developer-tools engineer at Cloudflare as of 2026, on durable infrastructure for AI agents; worked on React and PartyKit before that. Writes at sunilpai.dev.
10 August
Security researcher; built Report URI and Security Headers, and writes about web security in practice.
22 July
Thai software engineer; publishes a public digital garden at garden.narze.live and builds developer and productivity tooling.
15 July
Founder of HumanLayer; wrote 12-Factor Agents, on how to build AI agents that hold up in production.
10 July
Technical educator, conference speaker and developer relations engineer based in Ottawa, Canada. Author of the Anubis bot filter and of over 400 articles at xeiaso.net.
Programmer known for LiveJournal, memcached, OpenID and gearman; worked on the Go programming language at Google and later joined Tailscale.
7 July
Co-creator of Django and creator of Datasette; writes daily at simonwillison.net.
Their words
My favorite implementation of this pattern remains Django’s Migrations
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simonwillison.net
3 July
Software engineer who writes the blog Made of Bugs about performance, debugging and understanding computer systems. Previously worked at Anthropic on interpretability, at Stripe on Sorbet, and at Ksplice.
15 June
Machine learning engineer working on recommender systems, personalization and information retrieval. Previously worked on LLMs and LLM infrastructure at Mozilla.ai and on ML and recsys at Duo, Tumblr, Automattic and Comcast; wrote the 'What are embeddings?' text and ran the Normconf conference.
Their words
I've so far been using gemma-4-26b-a4b LM Studio implementation as my default local model.
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vickiboykis.com
6 June
Philosophy professor at UC Berkeley and creator of pandoc, the universal document converter, and of the CommonMark markdown specification.
2 June
Software engineer at PlanetScale and creator of the vim-go plugin. Writes at arslan.io about Go, tooling, industrial design and books.
25 May
Swedish programmer with degrees in engineering and psychology, author of Your Code as a Crime Scene and founder of CodeScene.
I still meet people convinced that AI coding tools will soon reach a point where code quality, design, and even architecture are "solved". So I ran a small ad-hoc experiment. I’ve been working on a CLI tool and let agents plan and implement a first functionally correct version. I provided strict instructions around testing strategy, workflows, and implementation constraints. But I deliberately removed the @codescene MCP and the safeguards I normally rely on. Unsurprisingly, the resulting code suffered from a ton of problems. It would have been a shaky foundation to continue building on. How s… MCP Related
21 May
Swedish programmer with degrees in engineering and psychology, author of Your Code as a Crime Scene and founder of CodeScene.
I'm writing an article on the perils of Spec-Driven Development (SDD). My concerns focus on the flawed idea that implementation is the mere execution of a known scope. Discovery suffers. However, I'd really like to hear counterarguments. Are there any SDD success stories that sustained beyond an initial prototype or first release? Related
4 May
Programmer; wrote Redis and hping, and blogs about C, systems programming and working alone.
3 May
Cardiologist and founder of the Scripps Research Translational Institute; writes Ground Truths on biomedical research, and wrote Super Agers and Deep Medicine.
1 May
Web developer; former head of engineering at Flickr, author of Building Scalable Web Sites, and co-founder and CTO of Slack.
16 April
Ruby and Rails core committer known online as "tenderlove"; maintains Nokogiri and works on Ruby performance.
7 April
AI research engineer working on large language models. He writes the Ahead of AI newsletter and is the author of Build a Large Language Model (From Scratch).
Software engineer who writes about low-level and systems programming at nullprogram.com; author of the Elfeed feed reader, the Endlessh SSH tarpit and Enchive.
4 March
Creator of Claude Code at Anthropic.
9 February
Author of The Simple Path to Wealth and of the jlcollinsnh.com stock series on index-fund investing.
19 January
Software engineer and a long-time technical lead of the Go programming language; author of plan9port and of the research.swtch.com essays.
5 October 2025
Austrian developer. Created the libGDX game framework, and more recently the pi coding agent, which moved with them to Earendil — Armin Ronacher's company — in April 2026. Writes at mariozechner.at.
9 June 2025
Programmer and writer; co-wrote The Rust Programming Language and worked on Rust's documentation for years.
9 March 2025
Software engineer who writes the blog Made of Bugs about performance, debugging and understanding computer systems. Previously worked at Anthropic on interpretability, at Stripe on Sorbet, and at Ksplice.
7 March 2025
Usability pioneer; co-founder of Nielsen Norman Group and founder of UX Tigers; author of the ten usability heuristics and of Jakob's Law.
3 February 2025
Founder and chief analyst of SemiAnalysis; reports on semiconductor supply chains, AI datacentre economics and what the chip export controls actually do.
Their words
To some extent, training a model does effectively nothing. They have a model. The thing that Dario is sort of speaking to is the implementation of that model, once trained to then create huge economic growth, huge increases in military capabilities, huge increases in productivity of people, betterment of lives.
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31 August 2024
American science-fiction writer, author of the collections Stories of Your Life and Others and Exhalation, and an essayist on artificial intelligence for The New Yorker.
15 August 2024
Founding member of OpenAI and former director of AI at Tesla; creator of nanoGPT and the term "vibe coding".
18 June 2024
Machine-learning researcher at Cursor working on post-training for coding models; a professor at Harvard and then Cornell from 2016 to 2026, and a researcher at Hugging Face from 2019 to 2024.
22 April 2024
Machine-learning researcher at Cursor working on post-training for coding models; a professor at Harvard and then Cornell from 2016 to 2026, and a researcher at Hugging Face from 2019 to 2024.
19 April 2024
Machine-learning researcher at Cursor working on post-training for coding models; a professor at Harvard and then Cornell from 2016 to 2026, and a researcher at Hugging Face from 2019 to 2024.
1 May 2023
Designer and engineer; formerly principal research engineer at GitHub Next; writes at wattenberger.com.
20 October 2018
Software engineer and educator; creator of Testing Library and of the EpicWeb.dev and EpicReact.dev courses.
JavaScript
Their words
Did you know, the tests you write with react-testing-library look almost identical to the tests you write with vue-testing-library. Magic things happen when you don't test implementation details. :)
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@kentcdodds on X x.com
9 February 2018
Designer, illustrator and writer; author of The Shape of Design and of widely read essays on design and the web.
13 July 2015
CEO of Vercel; creator of Next.js and Socket.IO. Writes at rauchg.com.
Their words
And if I’m allowed to extrapolate, a clear path is now laid out towards a future where the steps to go from sketch to design to implementation are greatly more accessible to everyone with an idea.
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Pure UI rauchg.com
30 April 2015
Interpretability researcher at Anthropic, which he co-founded; before that at OpenAI and Google Brain, where he wrote the explanations of neural networks most people learned them from.
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