Code Arena
Prompt once. Compare multiple AI-built apps for free.
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Ben Lang

Code Arena - Prompt once. Compare multiple AI-built apps for free.

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Prompt once and compare outputs from top AI coding models. Arena generates multi-file apps or websites side-by-side. Export ready-to-run code to GitHub or your IDE. Built for developers. Free to use.

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Aryan Vichare
Maker
📌

👋 Hey Product Hunt! We’re excited to launch Multi-File Apps in Code Arena.

AI coding tools often break down once projects go beyond a single file. We built multi-file in Code Arena to solve that, letting developers generate, compare, and iterate on real, multi-file codebases with production-level structure and reliability.

On Code Arena, you can prompt once and see multiple top coding models generate full projects side-by-side, then download the result as a ZIP to run locally or push to GitHub.

We’d love your feedback:

  • What kinds of apps or websites are you building?

  • Which coding models performed best for your build?

  • What additional models or features should we add to Code Arena?


Thanks for checking it out 🙏

Saul Fleischman

@aryanvichare Intriguing, and dying to use this, but I'd really need preview to be able to assess which of the two results is better.

I just tried a prompt, on one side it turned this into 17; the other side 20. What I need, as a low-coder, is the output.

Tereza Hurtová
Looks great! 💪 Multi-file generation + side-by-side comparison is such a clean “aha” - most tools demo well on a single file and then fall apart in real projects. What’s been the most common “wow moment” users mention after trying Code Arena? And what’s the biggest friction point you’re still working on? I cross my fingers to you! 🙂
Linjing Jiang
Comparing outputs of different models side by side is a great idea! I’m building an app that ranks places based on online reviews and have been using Claude with skills for both frontend and backend, it’s been solid. Just curious: Can skills or structured context (beyond prompts) be standardized across models for fair comparison? And how does Code Arena help objectively determine the “best” model. Are there measurable benchmarks, evaluation metrics or reports?
LaunchStack

Comparing AI outputs side by side is something every dev needs right now.

I've been building dev infrastructure tools myself and the "which tool actually works" problem is constant.

How are you handling the evaluation criteria? Pure output quality or also factoring in cost?

Curious Kitty
Where does Code Arena fit in a developer’s day-to-day workflow after the first generation—what’s the intended loop between Arena, a local repo/IDE, and GitHub as the project evolves over multiple iterations?
Viktor Shumylo

Congrats on the launch! Moving beyond single-file demos to real multi-file projects feels like a necessary step for serious AI coding. How does Code Arena handle cross-file dependencies and project-wide consistency, especially when different models generate slightly different structures or patterns?

Daniel Dewar

Love the multi-file capability - that's a huge differentiator versus single-file LLM outputs. Have you considered adding a mode to visualize dependencies between generated components? We often need to understand how different models structure their file relationships.

Bobby Lough

This sounds like a great way to evaluate which model pulls ahead. It seems to shift monthly if not weekly

yama

Side-by-side model comparison for multi-file projects is a compelling approach. I've been using Claude Code for terminal-based development and often wish I could quickly compare how different models would structure a particular feature.

Question about the export workflow: When pushing to GitHub, does Code Arena preserve any metadata about which model generated each file (e.g., in commit messages or comments)? This would be helpful for tracking what worked well when iterating later with Claude Code or Cursor.

Shubham Pratap Singh

Congratulations on the launch 🎉 🎉 🎉

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