AI coding agents work better when your repo has explicit readiness: declared setup, tasks, checks, workflows, and safe agent boundaries.
AI coding agents are getting better, but a lot of repos still make them start from guesswork.
They land in a codebase and have to infer:
which command installs dependencies
which command starts the app
which services need to be running
Here's the failure mode I keep running into. A team gives a coding agent a repo, a task, and maybe a...
I’ve been thinking a lot about a failure mode in AI-assisted development that does not fit neatly...
Overview For a while, the central question in AI coding felt obvious: Can the model...
A practical guide for AI app builders to give coding agents evidence, repo maps, memory, and verification steps before they touch…
AI coding agents are showing up in CI/CD pipelines more often. They can review code, run tests,...
Let's be honest - stateless AI tools are incredibly powerful, but they have terrible short term...
