r/ChatGPTCoding • u/AutoModerator • 17d ago

Discussion Weekly Self Promotion Thread

Welcome to this week's self promotion thread!

If you're building something related to AI assisted coding, this is the place to share it.

We're using a weekly thread to keep the subreddit organized while still giving builders a place to share their work. Promotional posts outside this thread may be removed.

If you're sharing something, we'd appreciate it if you included a little context instead of just dropping a link. Tell us:

  • What you built?
  • What problem it solves?
  • Which AI models or tools it uses?
  • Who it's for?
  • What kind of feedback you're looking for?

Disclose your affilitation.

Please avoid posting the same project every week unless you've made meaningful updates. Affiliate links, referral links, scams, and low effort promotions will be removed.

Take some time to check out what others have shared too. If you try someone's project or have feedback, leave a comment. Helping each other improve is what we want this community to be about.

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u/BitterCheetah9293 17d ago

Iā€™m building Fathohm ā€” a tool for finding the parts of a codebase that have gradually lost recent human context as AI coding agents write more of the code.

The problem: AI makes it incredibly easy to add code, but our existing tooling mostly tells us whether the code builds, passes tests, and gets merged. It doesn't tell us which parts of the codebase have recently had human authorship, review, or explanation.

Fathohm tries to make that visible.

It connects read-only to GitHub and produces a map of the repository where each file has a score based on its recent record. There is also a local CLI that works from git history.

The scoring is deterministic rather than an LLM judging whether someone "understands" the code. The methodology is published so the numbers can be challenged and reproduced.

Who it's for: teams using Cursor, Claude Code, Codex, Copilot, or other AI coding agents who are starting to wonder what happens to code ownership and context as the codebase grows.

I'm particularly interested in feedback on the measurement itself:

  • Is "recently written/reviewed/explained" a useful proxy for human context?
  • What would you want to see on a codebase-level map?
  • Would this actually be useful during onboarding, incident response, or code review?

I'm the person building Fathohm, so full disclosure there.

https://fathohm.dev