Stop Overloading Your AGENTS.md
Why repository-level agent instructions should stay lean, act as indexes, and avoid forcing every agent and user into one workflow.
Artifact-backed product notes alongside evergreen guides for reviewing agent-generated plans, documents, and preview applications.
How agents can verify AI-generated code through layered checks, deployment, end-to-end testing, and exploratory use.
Why repository-level agent instructions should stay lean, act as indexes, and avoid forcing every agent and user into one workflow.
A model for enterprise engineering when AI-assisted execution is cheap, reviews run alongside development, and verification replaces human gates.
Practical patterns for building reliable agent packs with clear roles, context boundaries, quality gates, and software-style development discipline.
A lifecycle model for using agents across PM work from ideation and specification through acceptance testing, documentation, and release artifacts.
Why PM artifacts should move to markdown, Git, and repository-aware AI assistance so agents can reliably read, write, and review them.