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AI Engineer Coach

better agentic engineering.
Analyze your AI coding assistant usage — any harness, one dashboard.

License: MIT VS Code 1.115+


585890575-d60203ce-c678-4fdd-918e-f6c04bff04df.mp4


What it does

AI Engineer Coach reads your local AI session logs and turns them into actionable insights — no data leaves your machine.

  • Track progress -- practice scores, weekly trends, daily activity charts
  • Detect anti-patterns -- 45 rules across prompt quality, session hygiene, code review, tool mastery, and context management
  • Measure output -- AI-generated code volume by language, workspace, model, and harness
  • Discover skills -- find repeated prompts and turn them into reusable skills
  • Score context health — agentic readiness checks, instruction-file audits, workspace context maps
Screenshots

Timeline

Code Output

Premium Request Consumption

Activity Patterns - Projects

Activity Patterns - Work Hours

Anti-Patterns

Skill Finder

Context Quality

Context Management

Learning Center

Achievements

Agentic SDLC

Share Your Stats


Quick Start

git clone https://github.com/microsoft/ai-engineering-coach.git
cd ai-engineer-coach
npm install
npm run package

Then install the .vsix:

code --install-extension ai-engineer-coach-*.vsix
  1. Open the command palette (Cmd+Shift+P / Ctrl+Shift+P)
  2. Run AI Engineer Coach: Open Dashboard
  3. Navigate pages from the sidebar, filter by workspace or harness

Pages

Observe

Page Description
Dashboard Practice scores with week-over-week trends, daily activity chart, top workspace stats
Timeline Gantt-style session timeline with per-day drill-down and overlap detection
Coding Moments Screenshot gallery from AI coding sessions with story reels and workspace filtering

Measure

Page Description
Output Generated code volume by language, model usage table (token breakdown temporarily hidden)
Burndown Monthly AI token budget progress with projections (temporarily disabled)
Patterns 7×24 activity heatmap and work-life balance signals

Improve

Page Description
Anti-Patterns Five practice score cards with severity ratings, concrete actions, and example prompts. 45 editable markdown rules plus a coverage heatmap
Rule Editor Create, edit, and tune detection rules visually or as raw markdown. Live-test against your data
Rule Playground Interactive REPL for the rule DSL with field browser, function catalog, and metric list
Data Explorer Browse session fields, view distributions, run ad-hoc filters
Skill Finder Discover repeated prompt patterns and matching community skills from the open-source catalog
Context Health Overall context score, agentic readiness checklist, workspace context map, AI-powered instruction-file review

Level Up

Page Description
Learning Center Personalized quizzes and code-comparison rounds generated from your actual usage
Achievements XP-based progression with Bronze → Silver → Gold → Diamond tiers
Agentic SDLC How you use AI across the full software-development lifecycle
Share Generate a shareable stat card

Privacy

  • Read-only — the extension never modifies your session files
  • Local analysis — all parsing and analytics run entirely on your machine
  • No proprietary telemetry — the extension does not phone home or collect usage data
  • Optional AI features — some features (rule compiler, skill finder, context review) use the VS Code built-in Copilot language model API when explicitly invoked by the user

Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

License

MIT

Disclaimer

This project is an open-source community effort by Microsoft employees. It is not an official Microsoft product and is not part of any Microsoft service or support offering. It is provided as-is with no warranties or guarantees.

Contributors

Sanjay Singh, Joy Distelbrink, Tamas Boncz, Aymen Furter

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