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microsoft/AI-Engineering-Coach

AI-Engineering-Coach microsoft/AI-Engineering-Coach is an MIT open-source Microsoft-published AI coding-assistant usage analyzer that reads your local AI session logs and turns them into actionable insights with no data leaving your machine, ships as a self-build `.vsix` VS Code extension plus a GitHub Copilot app canvas that reuses the same webview bundle, parses local session logs in process, ex

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Score8.4
Popularity2948.0
Riskconditional
TierGold
Score breakdown
Usefulness8.8
Novelty10.0
Momentum10.0
Maturity9.1
Open-source/build7.4
Evidence7.2
Workflow potential9.1
Setup ease6.5

Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.

Why it matters

Useful for developers, AI engineers, agent developers, engineering managers, dev leads, ML engineers, data scientists, indie hackers, freelancers, and students who want a local-first AI coding-assistant usage analyzer that turns session logs into practice scores, anti-pattern detection, token economics, and a personalized learning center, because microsoft/AI-Engineering-Coach ships an MIT open-so

Who should use it

BuildersPower users

Who should skip it

Skip if the source link, docs, or setup requirements do not match your workflow.

Risk explanation

Conditional risk: review permissions, runtime environment, and data boundaries before production use.

Evidence links

Closest alternatives / related signals

  • No close related item is available in the current public catalog.