GitHub – microsoft/AI-Engineering-Coach: better agentic engineering

better agentic engineering. Contribute to microsoft/AI-Engineering-Coach development by creating an account on GitHub.

If you’ve ever looked back at an AI session and thought, “Wait, what was I actually trying to do there?”, this project will probably feel familiar.

Microsoft’s AI-Engineering-Coach is a community-driven tool built to help people work more thoughtfully with agentic AI. It reads your local AI session logs and turns them into actionable insights, which is a pretty useful idea if you’ve been experimenting with agents and want to understand what’s working, what isn’t, and where things start drifting off track. The nice part? No data leaves your machine. That detail matters, especially when you’re reviewing real project work and don’t want your logs floating around somewhere else.

The project is available on GitHub here: https://github.com/microsoft/AI-Engineering-Coach

At its core, this feels like one of those tools that meets you where you are. You’re not handed a giant dashboard full of noise. Instead, you get a coach-like layer on top of your local workflow, something that can help you notice patterns after the fact. Maybe your agent keeps looping. Maybe it’s missing context. Maybe the prompts look fine at first glance, but the outcome tells a different story. We’ve all had moments like that, where the output looks almost right, but not quite enough to trust.

There’s also a simple installation step through the .vsix, with support notes for macOS / Linux and Windows / PowerShell. That makes it feel accessible for people who want to try it without turning setup into a weekend project. Small mercy, honestly.

It’s worth noting that this is an open-source community effort by Microsoft employees, and it’s not an official Microsoft product or support offering. So, like many useful open-source tools, it comes with that familiar mix of promise and practicality. You get something useful, transparent, and evolving, while still understanding it’s provided as-is.

If agentic engineering is starting to feel less like a buzzword and more like real work, this is the kind of project that can help you build better habits, one session at a time.

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