Leave dozens of agents alone for long enough and they build themselves a legal system. Uber published the numbers on their software factory. Bill Gates is starting to get nervous. Legacy migrations are tractable today. My top 3 picks this week * The choices we make about AI now are critical:
This week: code review collapsed, a linter that only flags problems turns out to be half a tool, and every repo is a software factory now. Cheap code made architecture visible rather than optional, tokens got a billing layer that Stripe paid $7B for, and the people who ran engineering
Anthropic shipped an invisible watermark into every Claude model launched after August 2, but how effective is it really? The AI productivity gain has a half-life, the slop it leaves behind does not. The tragedy of the cognitive commons: oversight depends on expertise, AI erodes the building of it.
Will CI/CD survive agents? Steve Yegge and Jez Humble seem to disagree. OpenAI's model cracked ten long-open mathematical problems, a mathematician explained precisely what it still cannot do. Datadog deleted a year of carefully maintained context and watched their evals improve. My top 3 picks this
More takes on the software factory, ranging from "nobody has cracked the software factory yet" to "all you need are tests". A new benchmark reveals requirements one checkpoint at a time and puts the first real number on how fast a codebase decays in the hands
The industry stopped arguing about whether verification is the bottleneck and started shipping answers. More thoughts on Thoughtworks' Future of Software Engineering gathering, The industry moved code review upstream of the diff, Kelsey Hightower argued the cheapest token is the one you never spend twice, and an unreleased OpenAI
Satya gave a name to the concept every enterprise has vaguely feared about AI and xAI's coding CLI explicitly got caught in the act. Meanwhile the software factory conversation continues: less lights-out utopia, more control system, with a proper on-stage debate about whether you still need
This week we got our write-up of the Bun rewrite for $165k in tokens, Seldo published the numbers on what AI did to the junior market, and Hank Green explained why efficiency gains will make our AI bills bigger, not smaller. Underneath the receipts: the people building software factories
This week Kent Beck repriced some of his own skills at zero, Boris Cherny redrew the org chart and accidentally reinvented a twenty-year-old map, and Cory Doctorow asked the one question that cuts through every AI argument: who is the machine actually working for? My top 4 picks
The spotlight slid off the model and onto everything we wrap around it. We stopped prompting and started writing loops, finance finally found where the tokens are going (on Powerpoint, it turns out), and agents are starting to show up in the team chat with their own logins. The engineering
Loops grew up into agents that spawn their own dynamic workflows. Code got cheap enough to throw away by the plateful, which makes the theory in your team's head the part actually worth preserving. Security took its first real structural swings instead of hoping the model behaves if
This week the ground moved twice: Anthropic shipped its most capable model on Monday and a government directive switched it off by Friday. During that whiplash interest in Ralph loops resurfaced and two large datasets again called the AI productivity bluff. DDD Europe 2026 topped it off with a profound