AI Engineering Coach（微软）

AI Engineer Coach organizes its capabilities into three areas that mirror a continuous improvement cycle: Observe your usage, Measure your output, and Improve your practices.

Observe

• Dashboard -- At-a-glance practice scores, activity charts, and skill recommendations
• Timeline -- Gantt-style session timeline showing when and how long you worked with AI
• Coding Moments -- Screenshot gallery from AI coding sessions with story reels and workspace filtering

Measure

• Output -- AI-generated lines of code and model usage breakdown
• Burndown -- Track AI credit consumption against your monthly allowance (temporarily disabled)
• Activity Patterns -- Work-hour heatmaps, calendar views, and per-project breakdowns

Improve

• Anti-Patterns -- Scored detectors for prompt quality, session hygiene, code review, and tool mastery, backed by an editable rule engine
• Rule Editor -- Edit, clone, live-test, and AI-draft detection rules written as markdown
• Rule Playground -- Interactive REPL for the rule DSL with a field browser, function catalog, and metric list
• Data Explorer -- Inspect request/session fields and distributions
• Skill Finder -- Discover repeated prompts and matching community skills
• Context Health -- Evaluate context quality and session management efficiency

Chat

• Chat Participant -- Conversational access to all coaching data via @aicoach in VS Code chat, with slash commands and agentic tool orchestration

Level Up

• Learning Center -- Personalized quizzes and challenges built from your actual usage
• Achievements -- XP-based progression with Bronze, Silver, Gold, and Diamond tiers
• Agentic SDLC -- Track how you use AI across the full development lifecycle
• Share -- Generate shareable stat cards