From Mexico: Mintlify launched Autopilot, a beta agent that watches code merges and support questions, drafts doc updates and opens a pull request for review. Why docs drift matters more now that agents read your docs too.
From Mexico: OpenAI published two new coding evals for COBOL, Fortran and other old languages, and says GPT-6.1 Sol now passes 97.9% of its COBOL migration test. What the test checks, what it doesn’t, and what I’d do with it.
From Mexico: doubleAI launched Maxwell, an AI that sits inside a running program, rewrites the machine code underneath and claims a formal proof for every change. Your source stays untouched. Here’s what I think it means for teams.
From Mexico: Anthropic published a report on how coding agents changed its own engineering teams. More code per engineer, no drop in its quality checks, fewer junior roles and more meetings. Here’s what stood out to me.
From Mexico: BAND launched BAND for Developers, a desktop app that lets you watch and steer several coding agents at once while they share context and hand off work. Here’s what it does, what’s still unclear, and my take.
From Mexico: Meta released the weights for Muse Spark Open, an 816B open model built for coding and agent work. You can self-host it or plug it into Claude Code, Codex or Cursor. Here’s what it is, what it needs, and my take.
From Mexico: GitHub made agentic autofix for code scanning alerts GA today. Copilot explores the code, proposes a fix, reruns CodeQL to confirm it, then opens a draft PR. Here’s how it works, what it costs, and where it stops.
From Mexico: Anthropic says its agents now merge over 30,000 changes a day, and git couldn’t keep up. So a seven-person team built Scion, a server-first version control system, in five months. Here’s what changed and what the rest of us can borrow.
From Mexico: LightOn’s ColGrep-Agent-2B runs on your machine and does code search for Claude Code. In their test it cut API tokens by 34% and cost by 40%. The catch: slower answers and an accuracy gap they can’t rule out. Here’s how it works.
From Mexico: Spotify says AI pushed its monthly merged changes from about 8,100 to 17,000, and it didn’t find AI-written code driving its incidents. What did break was verification, which couldn’t keep up with the pace. Here’s what they changed.
