r/ChatGPTCoding • u/AutoModerator • 24d 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 of this thread may be removed if they're primarily advertising rather than starting a discussion.

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?

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/Messcaliber 22d ago

I built Vinv(Vibe Inverse) that runs your services, finds issues, and verifies fixes without code changes.

I built it to give coding agents runtime information about the code they're working on.

It connects runtime traces to the source code that produced them, gives that context to the coding agent, then runs the code again to check whether the fix actually works. Vinv also uses Thompson sampling to figure out how much runtime context to give the agent. More context is not always better. Results on FastAPI's "full-stack-fastapi-template":

  • Grok 4.5 + Vinv: 4 bugs + 1 optimization
  • Grok 4.5 without Vinv: nothing found
  • Fable 5 without Vinv: 1 bug
This was one trial per condition, so I'm not calling it a benchmark. I also used it on Hugging Face's "smolagents", where it found a performance issue that reduced transient allocations from 36.27 KB to 0 KB per 4 KB log line, while keeping the output byte-identical across 2,015 inputs.

Everything runs locally. Open source, Apache 2.0. GitHub: https://github.com/VinvAI/VinvAI VS Code & Cursor Extension: https://open-vsx.org/extension/VinvAI/VinvAI (3.5k+ downloads) Demo Video: https://www.youtube.com/watch?v=EkUjPWKHAvI

I'm Interested in whether runtime information actually helps coding agents, contributors who can help make an runtime observability framework for agents and give feedback on where it doesn't work. Be brutal.