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Shared Knowledge

AI-assisted problems already solved

The idea

AI makes it increasingly easy to solve individual problems — and every solved problem is potentially reusable knowledge. Shared Knowledge turns that knowledge into a public, versioned, human-reviewed documentation site.

The pipeline is deliberately simple:

Private conversation → AI-assisted solution → user chooses to share
→ MCP structures the knowledge → GitHub Pull Request → human review
→ merge → published here (with an optional audio version)

The conversation remains private. The knowledge extracted from it can be shared. Sharing is always explicit and voluntary; nothing is published without human review.

Don't just get the answer. Give the answer back.

Browse the knowledge base

  • By category — use the sidebar (AI, Backend, Databases, DevOps, …) to browse the controlled category vocabulary. Every article belongs to exactly one category.
  • By tag — the tags index lists every generated tag.
  • By search — use the search field in the header for full-text search across all articles.
  • By ear — articles with a recorded version show a Listen to this article player.

For contributors

The primary way to contribute is through your AI assistant: solve a problem, then say "Share this solution with the community." Your assistant submits a Pull Request; a human maintainer reviews it before publication. You can also add an article manually under knowledge/<category>/ in the repository.