All 17 Dependencies
Every package AI Engineer Coach depends on, ranked by repo health score.
AI Engineer Coach analyzes how you actually use AI coding assistants by reading local session logs — from any harness, in one dashboard — rather than requiring you to adopt a specific tool's built-in analytics. It tracks practice scores, weekly trends, and daily activity, but its more distinctive feature is anti-pattern detection: 45 rules spanning prompt quality, session hygiene, code review habits, tool mastery, and context management flag habits worth improving.
Beyond tracking, it measures AI-generated code output by language, workspace, model, and harness, and specifically looks for repeated prompts that could be turned into reusable skills — surfacing patterns you might not notice yourself across dozens of sessions. Context health scoring audits instruction files and maps workspace context to assess how "agentic-ready" a given codebase actually is for AI-assisted work.
MIT licensed and built by Microsoft, AI Engineer Coach processes everything locally — no data leaves your machine — and targets VS Code 1.115+ as a native extension rather than a separate application.
