microsoft/AI-Engineering-Coach

It solves the lack of visibility and feedback loops in AI-assisted coding workflows, where developers often have no structured way to evaluate prompt quality, session hygiene, or code output volume. Unlike generic analytics tools, it provides 45 anti-pattern rules, context health scoring, and skill discovery tailored specifically for agentic engineering.

Developers can build a data-driven practice of AI coding by tracking weekly trends, detecting anti-patterns in prompts and sessions, measuring AI-generated code volume by language or model, discovering reusable skills from repeated prompts, and scoring context health. Real-world use cases include improving team-wide AI coding efficiency, onboarding new developers to best practices, and auditing AI usage for quality assurance.