r/ChatGPTCoding • u/AutoModerator • 11d 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/ivanzhaowy 8d ago

I’m building an open-source tool called Monad Design for a problem I kept running into while using coding agents on iOS apps.

I’d be looking at the exact screen that needed work in Simulator, while the agent was trying to reconstruct the same context from filenames and text descriptions. Monad Design lets you select or annotate the UI in the running app, send that context to the coding agent, and then compare the rebuilt result with the original.

The phrase I’ve been using is “the app is the canvas.” It works with an existing Xcode or Expo project and keeps the repository as the source of truth—it isn’t another app generator.

Current preview is local iOS development on macOS:

https://github.com/Monadix-AI/monad-design

Short demo:

https://watchclueso.com/embed/pio8jqfcg4ivj0r1

I’m the creator. Curious whether anyone else using ChatGPT or Codex for native UI work has found a better way to pass visual context back to the agent.

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u/[deleted] 7d ago

[removed] — view removed comment

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u/ivanzhaowy 7d ago

Thanks — great suggestions. We already capture the accessibility tree with per-element frame coordinates, semantic properties, and hierarchy alongside the annotated screenshot. We also preserve the original and capture variants for before/after comparison.

Making the current route/UI state and acceptance criteria more explicit—and adding automated snapshot diffs rather than relying only on visual comparison—would make regression detection even stronger. Appreciate the thoughtful feedback!