Pythagora (born as the famous GPT Pilot research project) approaches AI app building like a real engineering team: it interviews you about requirements, plans the architecture, writes code task by task, debugs its own output and pauses for your review at sensible checkpoints.
That step-by-step, human-in-the-loop process is the difference from one-shot generators — it can build genuinely larger apps because it maintains context and verifies work as it goes, running locally against your own OpenAI or Anthropic keys.
Open-sourced with a VS Code extension and a commercial platform on top, Pythagora is the transparent alternative to closed prompt-to-app builders like Lovable and Bolt.
From a description to a working full-stack app — architecture, code, and tests.
Requirements interview, task breakdown, incremental coding with review checkpoints.
Runs the app, reads errors and fixes its own bugs during the build.
Runs locally with your own model keys — the generated codebase is fully yours.
The core (GPT Pilot) is open source and free to run with your own API keys; Pythagora also offers a paid hosted platform with a more polished experience.
Lovable and Bolt are closed, hosted one-shot builders; Pythagora is open source, runs locally with your keys, and builds step-by-step with reviews — better suited to larger, real apps.
Full-stack web apps — typically Node/React style stacks — including database, API and frontend, with tests along the way.
You can get far without coding, but development knowledge helps a lot when guiding reviews and finishing production details.
Your own OpenAI or Anthropic keys — you control the model and the spend.
Autonomous AI dev agents that ship code end-to-end.
Open-source AI coding agent for the terminal.
Agentic AI coding assistant for VS Code.
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