Pythagora is an all-in-one AI development platform that works inside VS Code or Cursor. Built on the open-source GPT Pilot project, it uses 14 specialized AI agents to handle planning, code generation, review, testing, debugging, and deployment. You describe your app in plain English, and Pythagora builds it step by step, asking for your feedback along the way. It generates React frontends and Node.js backends, and you own 100% of the source code. Ideal for MVPs, internal tools, and rapid prototyping.
Pythagora is an AI development platform that runs inside VS Code or Cursor. It uses 14 specialized AI agents to build full-stack web apps from natural language descriptions. You describe what you want, and the agents collaboratively plan, write, review, debug, and deploy your application, asking for your input along the way.
No. Pythagora is designed so non-technical users can build functional web apps by describing their ideas in plain English. That said, having some development knowledge helps when reviewing generated code, handling the remaining 5% that may need manual adjustments, and making custom modifications.
Pythagora currently builds frontends with React and backends with Node.js (Express). Python backend support has been announced but is not yet available. Deployed apps run on Pythagora's cloud infrastructure backed by AWS, or you can export the code and self-host.
Yes. You own 100% of the generated source code. You can modify it, extend it, and host it wherever you choose. This is a key difference from no-code platforms where the platform controls the application logic.
While Copilot and Cursor focus on code completion and editing assistance, Pythagora is a full development platform. It doesn't just suggest code snippets. It builds entire applications from scratch, handles debugging, runs code reviews, and deploys your finished product. It works within VS Code and Cursor as an extension.
You can build a wide range of web applications including analytics dashboards, social platforms, internal tools, admin panels, and API-driven React apps. It's best suited for MVPs, small-to-medium applications, and rapid prototypes. Large-scale enterprise applications may hit limitations.
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