LoopCodeLab
One sentence in. A shipped app, repo, and preview out.
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LoopCodeLab - One sentence in. A shipped app, repo, and preview out.

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Describe an idea, and a team of AI agents plans, builds, reviews, and ships it as working software, from web apps to mobile apps, live on their own URL. Bring your own AI keys. Own every line.

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Maker
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Please review my product. Hey Product Hunt! 👋 I built LoopCodeLab because every AI app builder I tried had the same two problems: one agent doing everything (and losing the plot on bigger ideas) and your app trapped inside their platform. So LoopCodeLab works differently. It's a team, not a single agent. Describe your idea in one sentence, and a planner splits it into concrete stories; parallel coding agents build them in isolated Git branches; a master agent reviews and merges every branch; and a final pass ships the result. Plan, build, review, ship. You can watch the whole thing happen live. You own everything from the first commit. The code lands in your own GitHub account. The build runs on your own AI keys. There is no lock-in, ever. If you want to take the code and walk away, you already have it. What you get from one prompt: a live preview at its own URL, an installable PWA, your repo, and optionally a Windows installer or Android APK. You can even revise the app afterwards by describing changes in plain language, and the platform gets smarter with every build. I'd genuinely love your feedback, especially on two things: what would you build first, and what output format should we add next? I'll be here all day answering questions. Ask me anything! 🚀
OpenAI
OpenAI Day
How did GPT-5.6 change the ambition or scope of what you shipped?
Maker
ChatGPT 5.6 and Codex significantly accelerate the development of LoopCodeLab by acting as an AI-assisted engineering and product-development layer. We use them to transform product requirements into technical plans, analyze the existing codebase, implement features, refactor modules, debug problems, generate tests, review code, improve documentation, and prepare applications for deployment. Multiple coding agents can also work in parallel on separate workstreams, such as frontend development, backend services, testing, security review, and documentation. This enables us to operate with a lean team, test ideas rapidly, reduce repetitive engineering work, and concentrate human effort on product strategy, user experience, architecture, accessibility, and quality control.