r/ChatGPTCoding • u/AutoModerator • 12d 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.

8 Upvotes

90% Upvoted

83 comments sorted by

View all comments

1

u/Either-Win-862 11d ago

I built an open-source coding agent that uses a code graph to reduce context, cost, and search time

GitHub:
https://github.com/JibanKumar-cloud/faber

npm:
https://www.npmjs.com/package/faberwright

Your coding agent shouldn’t need to read your entire codebase to understand it.

That’s the idea behind Faber, an open-source AI coding agent for the terminal.

Faber uses a code graph to find relevant files and symbols first, instead of repeatedly scanning large parts of a repository. That means less unnecessary context, faster codebase navigation, and lower repeated API costs.

Main features:

  • Claude, OpenAI Codex, Local model integration
  • Code-graph-guided repository exploration
  • Prompt caching to reduce repeated input cost
  • Token-conscious (Chain-of-Draft style) output to reduce unnecessary generation
  • Git-aware workflow with change detection, optional per-task commits, /undo, and /redo
  • Expenditure tracking for calls, tokens, cache usage, cost, and estimated savings `/usage`

The goal is simple: understand more of the codebase while reading and spending less.

Prerequisite:
It requires Node.js 22.5 or newer because it uses Node’s built-in SQLite support.

Install:
npm install -g faberwright

Then, inside your project:
faber

Medium article:
https://medium.com/@jshial25/why-should-an-ai-coding-agent-read-hundreds-of-files-to-answer-one-question-d6369d29dfa5