@akshay_pachaar: Microsoft built a Fitbit for AI. they just open-sourced AI Engineer Coach. a VS Code extension (also works in Cursor an…

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Summary

Microsoft open-sourced AI Engineer Coach, a VS Code extension that analyzes developer usage of AI coding agents, providing insights and anti-pattern detection to improve AI workflows.

Microsoft built a Fitbit for AI. they just open-sourced AI Engineer Coach. a VS Code extension (also works in Cursor and Antigravity) that analyzes how you actually use AI coding agents. it reads local session logs from GitHub Copilot, Claude Code, Codex CLI, OpenCode, and Xcode. one dashboard across every harness you use. it scores your workflow across five categories: prompt quality, session hygiene, code review, tool mastery, and context management. it ships with 45 anti-pattern detection rules. things like prompts with no file context, mega sessions that drift off-topic, auto-approving terminal commands without a devcontainer, and burning premium tokens on trivial questions. each finding shows what went wrong, how to fix it, and a real example from your own sessions. the rule engine is the interesting part. every detector is a markdown file with a small expression language, so you can tune thresholds, write new rules, or describe one in plain English and let Copilot scaffold it. there's also a Skill Finder that spots repeated prompt patterns and turns them into reusable skills. everything runs locally. read-only by design, zero telemetry. we've spent two years making AI agents faster. almost nobody is measuring how effectively developers actually work with them. AI Engineer Coach treats your AI workflow the way observability tools treat production systems. MIT licensed, fully open-source. link in the next tweet.
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Cached at: 05/22/26, 09:54 PM

Microsoft built a Fitbit for AI.

they just open-sourced AI Engineer Coach.

a VS Code extension (also works in Cursor and Antigravity) that analyzes how you actually use AI coding agents.

it reads local session logs from GitHub Copilot, Claude Code, Codex CLI, OpenCode, and Xcode. one dashboard across every harness you use.

it scores your workflow across five categories: prompt quality, session hygiene, code review, tool mastery, and context management.

it ships with 45 anti-pattern detection rules. things like prompts with no file context, mega sessions that drift off-topic, auto-approving terminal commands without a devcontainer, and burning premium tokens on trivial questions.

each finding shows what went wrong, how to fix it, and a real example from your own sessions.

the rule engine is the interesting part. every detector is a markdown file with a small expression language, so you can tune thresholds, write new rules, or describe one in plain English and let Copilot scaffold it.

there’s also a Skill Finder that spots repeated prompt patterns and turns them into reusable skills.

everything runs locally. read-only by design, zero telemetry.

we’ve spent two years making AI agents faster. almost nobody is measuring how effectively developers actually work with them.

AI Engineer Coach treats your AI workflow the way observability tools treat production systems.

MIT licensed, fully open-source. link in the next tweet.

AI Engineer coach: https://github.com/microsoft/AI-Engineering-Coach…

(don’t forget to star )

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