Show HN: Strava for AI coding – analytics on your Copilot/Claude/Codex usage
AI Engineer Coach is a tool that analyzes local AI coding assistant usage logs to provide developers with insights on their coding practices. It offers dashboards for tracking activity, detecting anti-patterns, measuring AI-generated code output, and improving workflow without sending data off the machine. The tool supports various AI coding harnesses and emphasizes privacy through local-only processing and optional AI features.
- ▪AI Engineer Coach processes AI session logs locally, ensuring no data leaves the user's machine.
- ▪It provides analytics on AI coding usage, including practice scores, anti-pattern detection, and code volume by language and model.
- ▪The tool includes features like skill discovery, context health scoring, and personalized learning based on user behavior.
- ▪All analysis is performed locally, with no proprietary telemetry collected or transmitted by the extension.
- ▪AI Engineer Coach is an open-source project by Microsoft employees, released under the MIT license and not an official Microsoft product.
Opening excerpt (first ~120 words) tap to expand
AI Engineer Coach better agentic engineering. Analyze your AI coding assistant usage — any harness, one dashboard. 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 Quick Start git clone…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.