OpenAI heard a rumour on September 1 that Anthropic's models had cracked a Millennium Prize problem. It launched 10,000 agents. Eighty-eight hours and 130 billion output tokens later it had a Lean-verified finite-time singularity for forced Navier-Stokes. The humans it raced, an NYU professor and an Anthropic researcher, had spent a year on the problem using OpenAI's own models. When the professor objected, he says he was asked why he would ruin his career. The result is real. The economics are the story.
Read more →Jacob Coxon quit Anthropic on September 8 with a seven-post thread saying the labs are 'gambling with our lives'. It has 169 million views, 28 times Jan Leike's OpenAI resignation. His colleagues called it 'broadly accurate'. The alignment lead put extinction at over 10% this decade. Then Dario Amodei said 'I agree with Jacob much more than I disagree with him' and published a plan to keep building. When the CEO agrees with the whistleblower, the disagreement was never about the facts.
Read more →The research everyone quotes on AI and developer burnout is from 2025, when the job was using an assistant. JetBrains found 68% of professional developers now run agents daily. The 2026 numbers are worse: review time up 441.5%, 96% not trusting what AI writes, 48% checking it.
Read more →Anthropic's own engineering lead for Claude Code said the quiet part: as the team leaned into agents, work 'could start being a lonely experience because we all started just working with our agents so much.' The fix they reached for was pair-programming lunches. The company that builds the most-used coding agent on earth noticed it isolates people at scale, and shipped it to everyone anyway.
Read more →Anthropic studied 400,000 Claude Code sessions and found the best users weren't the best programmers. Managers, lawyers, and salespeople land within a few points of software engineers, and management scored highest of all. The skill that transfers isn't syntax. It's knowing what the right thing to build is, which is the one thing a bootcamp never taught.
Read more →Boris Cherny, who built Claude Code, says engineering, product, design and data science are melting into one role, and what's left is five archetypes: Prototyper, Builder, Sweeper, Grower, Maintainer. I read the list and realised I'm all five, because building solo with agents leaves no one to hand a phase to. The framework is thirty years old. What's new is that it just became the primary axis instead of the secondary one.
Read more →GitLab laid off 14% of its workforce and branded it the 'agentic era': agents now handle review, approvals, and handoffs, so fewer humans sit in those loops. It did this while beating earnings, revenue up 23%. I've argued AI is usually a scapegoat for cuts companies already wanted. GitLab is the case that complicates it - either the first honest agentic layoff, or the most fluent AI-washing yet.
Read more →METR tried to rerun its developer-productivity study and couldn't, because developers refused to work without AI even for a few research tasks. The experiment that could tell us whether AI helps now has no control group. We opted out of finding out.
Read more →Amazon built an internal leaderboard ranking engineers by AI usage, called Kirorank. Employees gamed it by running agents on pointless tasks to climb the board, and it got killed. It's Goodhart's law with a token meter attached.
Read more →Everything in software got a fast mode this year except understanding what to build. The proof is in the labs' own org charts: the companies selling the models that supposedly end software engineering are paying $600k for engineers to go sit in customers' offices. The bottleneck moved all the way up to the conversation.
Read more →A CTO once told me not to take people's Legos away. I ignored him, solved the team's problems myself, and got exactly what I optimised for: a sound plan and a team that couldn't stand me. In 2026, with agents doing the bricks, this is the lesson that matters.
Read more →One engineer, one AI, eight pull requests closing a multi-root-cause production incident. The same day, a look at a shiny greenfield rewrite candidate. The gap between what AI helps you fix and what a clean rewrite can't give you is the entire argument.
Read more →78,557 tech layoffs in the first three months of 2026. Nearly half blamed on AI. A new study says AI tools actually slow workers down. The real driver is overhiring and weak earnings. AI is the PR shield.
Read more →A German general's 1933 framework for categorizing officers maps perfectly to engineers using AI. The most dangerous quadrant - stupid and industrious - is exactly what AI amplifies.
Read more →Independent studies consistently show AI coding tools deliver modest gains at best. The real story is worse: developers are thinking less, learning less, and producing more debt.
Read more →The tool was rewritten five times. The discipline to use it wasn't rewritten once. A year of daily AI-assisted development, what it changed, and what it didn't.
Read more →ADHD, autism, and neurodivergence aren't bugs in the system. They're the reason the system exists. And the agentic age is about to prove it.
Read more →AI collapsed the cost of rebuilding. Corporate decision-makers haven't caught up. The reasoning behind 'but we already built it' no longer holds.
Read more →AI tools that democratize code creation are DDoSing the review layer. Creation now runs at machine speed. Review remains human speed. The asymmetry is crushing maintainers.
Read more →Stanford data confirms experienced devs are safe. But if AI replaces the on-ramp, where do future seniors come from?
Read more →Andrej Karpathy built the neural networks inside coding assistants. He taught deep learning to a generation. He feels dramatically behind. If the experts are lost, what does that tell us?
Read more →The arguments about vibe coding and junior developers miss what software engineering was always about: shipping products, not typing code.
Read more →At around 30 employees, growing companies either mature or become toxic. Here's the playbook for organizational dysfunction - and why your engineering leaders keep leaving.
Read more →How modern tools transformed my experience as an introverted engineer and tech leader
Read more →What happens when you lose external validation and discover what actually matters: the work itself.
Read more →Why coding interviews optimized for 2010 fail to identify great engineers in 2025, and why orgs can't adapt fast enough.
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