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Is legal the same as legitimate: AI reimplementation and the erosion of copyleft
Last week, Dan Blanchard, the maintainer of chardet—a Python library for detecting text encodings used by roughly 130 million projects a month— released a new…
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The latest blog posts to take off on Hacker News. 1,521 posts.
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We should revisit literate programming in the agent era
Literate programming is the idea that code should be intermingled with prose such that an uninformed reader could read a code base as a narrative, and come away with an understanding of how it works and what it does. Although I have long been intrigued by this idea, and have found uses for it in a couple1 of different…
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The changing goalposts of AGI and timelines
Based on its own charter, OpenAI should surrender the race
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Will Claude Code ruin our team?
AI coding is blurring the lines between engineers, PMs, and designers. In the short-term, it's going to cause havoc. What happens long-term?
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Verification debt: the hidden cost of AI-generated code
I’ve forgotten how to write code, or at least I think I have. Hard to be sure, I haven’t done it for a while. But then, I start to muse…
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Sarvam 105B, the first competitive Indian open source LLM
Sarvam open-sources 30B and 105B reasoning models trained in India: MoE LLMs with leading Indian-language benchmarks; weights on AI Kosh and Hugging Face.
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LLMs work best when the user defines their acceptance criteria first
One of the simplest tests you can run on a database:
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Anthropic, please make a new Slack
Slack will be the Waterloo of closed data.
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Hardening Firefox with Anthropic's Red Team
Claude Opus 4.6 found 22 Firefox vulnerabilities in two weeks, 14 rated high-severity, with proofs-of-concept and candidate patches for Mozilla.
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We might all be AI engineers now
The models are good now. But most people still miss the point.
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GPT-5.4
Introducing GPT-5.4, OpenAI’s most most capable and efficient frontier model for professional work, with state-of-the-art coding, computer use, tool search, and 1M-token context.
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A GitHub Issue Title Compromised 4k Developer Machines
A prompt injection in a GitHub issue triggered a chain reaction that ended with 4,000 developers getting OpenClaw installed without consent. The attack composes well-understood vulnerabilities into something new: one AI tool bootstrapping another.
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AI and the Ship of Theseus
Slopforks: what happens when a library gets rewritten with AI?
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The L in "LLM" Stands for Lying
Questioning the frame of inevitability in use of AI
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You need to rewrite your CLI for AI agents
Human DX optimizes for discoverability. Agent DX optimizes for predictability. What I learned building a CLI for agents first.
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NanoGPT Slowrun: Language Modeling with Limited Data, Infinite Compute
NanoGPT Slowrun is an open effort to implement data-efficient learning algorithms; 5.5x data efficiency in the first week and improving.
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Something is afoot in the land of Qwen
I’m behind on writing about Qwen 3.5, a truly remarkable family of open weight models released by Alibaba’s Qwen team over the past few weeks. I’m hoping that the 3.5 …
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Agentic Engineering Patterns
Patterns for getting the best results out of coding agents like Claude Code and OpenAI Codex. See my introduction for more on this project.
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My spicy take on vibe coding for PMs
I shared this internally at Meta in response to a deluge of clout-chasing posts celebrating PMs landing prod diffs. The response was positive and the message generalizes, so here we are on the open www. PMs shouldn’t waste time landing … Continue reading →
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A case for Go as the best language for AI agents
Pull up your agents folks, I'll convince you why Go is the best language for them.
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Parallel coding agents with tmux and Markdown specs
A practical workflow for running 4–8 parallel coding agents using Claude Code, tmux, and a Markdown-based feature design system.
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Inside the M4 Apple Neural Engine, Part 1: Reverse Engineering
How we bypassed CoreML and talked directly to the hardware
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AI Made Writing Code Easier. It Made Being an Engineer Harder
Writing code is easier than ever. Being a software engineer is harder than ever. The paradox nobody talks about, and what engineers and leaders should do.
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Microgpt explained interactively
Walk through Karpathy's 200-line GPT from scratch. Tokenize names into integers, watch softmax convert scores to probabilities, step through backpropagation on a computation graph, explore attention heatmaps, and see a tiny model learn to generate plausible names.
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Intelligence is a commodity. Context is the real AI Moat
My thesis on the AI-first society and the future of software