







The amount of code being written at Anthropic continues to rise exponentially.
AI vs human code gen report: AI code creates 1.7x more issues
We analyzed 470 open-source GitHub pull requests, using CodeRabbit’s structured issue taxonomy and found that AI generated code creates 1.7x more issues.

AI Code Is Producing a Quality Crisis Nobody Wants to Talk About
The productivity numbers look great. AI coding tools are everywhere.
233. "The Illusion of Thinking" — Thoughts on This Important Paper
This is a fantastic paper. I just love it. tl;dr AI is not human. Anthropomorphization has been bad for AI, LLMs, and Chat. Clippy walked so today's AI could run.

What the hell happened with AGI timelines in 2026?
What AI coding costs you | Tom Wojcik
What's the effect of the prolonged AI usage among coders and is it tracked correctly, if it all?
How Much of the Internet Is Written With AI?
In a random sample of 10,000 webpages collected in July 2026, one-in-ten show signs of being written or substantially edited by AI.


staysaasy on Twitter / X
The degree to which you are awed by AI is perfectly correlated with how much you use AI to code.— staysaasy (@staysaasy) April 9, 2026
Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding Tools
How do the productivity effects of AI evolve across successive generations of tools, and to what extent do task-level gains ultimately translate into final outp
Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding Tools
How do the productivity effects of AI evolve across successive generations of tools, and to what extent do task-level gains ultimately translate into final outp
How building software is changing at Anthropic
A deepdive on what’s changed in how the leading AI lab makes software. Ever more code review and testing is done by AI, two-pizza teams very much alive, and more. Details from inside of Anthropic

The AI Researcher Who Just Quit Anthropic Says It’s ‘Crunch Time for Humanity’
Jacob Coxon talks to WIRED about the “mini Manhattan project” inside Anthropic, the problem with alignment, and why AI labs have just a few years left to make their systems safe.

MCP 201 | Code w/ Claude
No. 011: Sum-product conjecture disproof, AI-generated authorship fraud, OMB grant-cost rules - The Hallway Track
The Hallway Track No. 011 - How AI is affecting the practice of science

AI-assisted engineers are burning out, is this fine?—Martian Chronicles, Evil Martians’ team blog
AI-assisted code generation is not free. It comes with a hidden cost: burnout. Are we dangerously ignorant to this problem? And how can we cope with it? In this post, we discuss this question.

Georgi Gerganov on Twitter / X
llama.cpp at 100k starsnow that 90% of the code worldwide is being written by AI agents, I predict that within 3-6 months, 90% of all AI agents will be running locally with llama.cpp 😄Jokes aside, I am going to use this small milestone as an opportunity to reflect a bit on… pic.twitter.com/BpN5VL1bYV— Georgi Gerganov (@ggerganov) March 30, 2026