From Mexico: GitHub Agentic Workflows is now generally available. You describe a repo chore in Markdown, it compiles to Actions YAML, and a coding agent runs it read-only in a sandbox. Here’s what shipped and what I’d check.
From Mexico: Bito launched Governor, a router that sits between your coding agents and your models, picks a model per request and answers codebase searches itself. Bito claims big savings. Here’s how it works and what I’d check.
From Mexico: Entire, the startup led by former GitHub CEO Thomas Dohmke, launched a Git forge built for coding agents. Trails replace the pull request with evals that agents score on every push. What’s in it and what I’d check.
From Mexico: Microsoft Research released the code for Agensh, a harness where coding agents claim their own sub-tasks with no manager agent. On Pandoc, 1,024 agents hit 55% of tests in six hours. What I’d check before trying it.
From Mexico: a new study ran the same models through Claude Code, OpenCode and mini-SWE-agent. Pass rates barely moved, but cost per task changed by up to 3x. What the harness actually buys, and what I’d measure first.
From Mexico: on Oct 22 Anthropic and Theorem said Claude proved 239 fuzz entry points in 123 open-source libraries can’t crash on inputs under 64 MB. What was proved, what it found, and what “verified” still doesn’t mean.
From Mexico: on Oct 22 Anthropic announced it is donating the Agent Skills standard to the Linux Foundation’s Agentic AI Foundation. What a skill is, what moves, which numbers are Anthropic’s own, and what is still only proposed.
From Mexico: Recursive released Flint, a free Apache 2.0 coding model that runs on a laptop and that its Eureka Machine research system helped build in under four months. What it does, how fast it is, and where I’d use it.
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.
