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AI · June 6, 2024

WV

We've built an AI agent with a dev environment that can build real apps

Hey HN, Databutton is an AI agent with a full-stack dev environment that it shares with the user, which writes, tests and deploys apps using React as the frontend and FastAPI as the backend. Today, it's a way for non-professional coders to ship real full-stack apps end-to-end. The agents are leaning on the users quite frequently to give feedback and guide the development journey through prompts, images, etc. The aspiration is to increase the "autonomy" slowly, but we're built on the philosophy that users should always be able to ship real apps that can be used, even if they have to rely on…

In plain words

Databutton is an AI agent paired with a shared development environment that helps users build, test, and deploy full-stack applications using React and FastAPI. Designed for non-professional coders, it generates code based on user prompts and images while allowing users to guide development and make edits. The system emphasizes creating real, deployable apps that can be immediately used, with plans to gradually increase the agent's autonomy over time.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hey HN, Databutton is an AI agent with a full-stack dev environment that it shares with the user, which writes, tests and deploys apps using React as the frontend and FastAPI as the backend. Today, it's a way for non-professional coders to ship real full-stack apps end-to-end. The agents are leaning on the users quite frequently to give feedback and guide the development journey through prompts, images, etc. The aspiration is to increase the "autonomy" slowly, but we're built on the philosophy that users should always be able to ship real apps that can be used, even if they have to rely on other tools and LLMs to paste into our code editor. We're mostly using gpt-4o as the underlying LLM, and we've had a few hundred people helping us test and ship apps over the past few months -- and now we're opening it up for more people to help us make it better by providing feedback and shipping awesome apps. We'll try to do more updates here on HN as we progress further, as I know there's a lot of talented ai-devs / LLM-devs and enthusiasts here and I'm sure there's plenty of stuff we can learn from y'all.

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