Ask HN: How to make a mono-repo AI-Ready?
The organization is focusing on making their monorepo AI-ready to facilitate contributions from various teams. They aim to improve the codebase by making it more understandable and structured while also incorporating documentation for best practices. The team is seeking tools or methods to enhance collaboration and contributions in light of new AI tools.
- ▪The organization is pushing for AI-readiness in their monorepo.
- ▪The team is struggling with inbound contributions from other teams.
- ▪They plan to improve the codebase by cleaning up old patterns and adding documentation.
Opening excerpt (first ~120 words) tap to expand
The org is pushing for AI-readiness! We run a fairly large monorepo, part of that is a shared web-platform.Our team is struggling with the inbound contributions to said web-platform from other teams seeing it as the perfect code to try out their new AI-tools on.Our idea so far is that AI-Ready in this case is the same as Human-Ready. I.e. make the codebase understandable, structured, clean up any old patterns still lying around etc. With the additional of adding ClAUDE.md files describing correct patterns.However, besides the "regular", look at shit and clean it, is there any tools, or smarter ways to make our codebase easier for other to contribute to given the new tools avaialable?
Excerpt limited to ~120 words for fair-use compliance. The full article is at Ycombinator.