Quality

How a self-assessed, evidence-backed quality program across dozens of teams became the foundation for safe AI-assisted development.

What research shows about AI-assisted development: the METR slowdown, code churn, security vulnerabilities, and mounting maintainability concerns.

Practical techniques for giving AI agents the context they need: AGENTS.md files, documentation strategies, and plan mode workflows.