I’ve been seeing more and more people build impressive applications with Claude Code, Cursor, Codex, and similar AI coding tools.

The barrier to building software is lower than ever.

But once the code is generated, a different question comes up:

Do you actually understand what was built and why?

Why was Redis chosen over RabbitMQ? When would Kafka be a better fit? Why was this architecture selected? What trade-offs were made? What happens when the system grows 10x?

That’s why I built AfterCode.

AfterCode takes a coding session from AI development tools and automatically generates a podcast explaining:

* What was built * What decisions were made * Which technologies were chosen and why * What alternatives were considered * What trade-offs were made along the way

The podcasts are stored locally on your machine and available through a simple UI, so you can listen whenever it’s convenient and better understand your own projects.

I built it because I personally learn much better by listening than by reading long documents, and I figured I’m probably not the only one.

AfterCode is open source.

I’d love your feedback and a if you find it useful.

GitHub repo: https://github.com/ron3899/aftercode