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Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
AI developer companion that builds production-ready apps step-by-step
GPT Pilot is an AI-driven developer assistant that writes, debugs, and documents full applications, integrating with VS Code or via CLI, and supports Python, SQLite, and PostgreSQL backends.
GPT Pilot is an AI‑driven developer companion that collaborates with you to create production‑ready Python applications. It can generate code, run debugging sessions, write documentation, and manage database setup, all from a VS Code extension or a simple command‑line interface.
The system orchestrates a chain of specialized agents—Specification Writer, Architect, Tech Lead, Developer, Code Monkey, Reviewer, Debugger, and Technical Writer—to break down a project description into tasks, implement each step, and verify the output. Configuration is handled through a file where you select an LLM provider (OpenAI, Anthropic, or Groq), set API keys, and choose between SQLite (default) or PostgreSQL. After launching , the generated project lives in a folder, ready for you to review, test, and deploy.
config.jsonpython main.pyworkspaceWhen teams consider GPT Pilot, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Prototype a CRUD web app in minutes
AI writes the full stack, sets up database, and provides documentation, leaving the developer to review and deploy.
Add a new feature to an existing Python service
Developer describes the feature; GPT Pilot generates code, runs tests, and integrates it into the project.
Generate boilerplate for a microservice architecture
Architect agent selects technologies, installs dependencies, and scaffolds service skeleton ready for customization.
Debug and refactor legacy code
Debugger and Reviewer agents identify issues, suggest fixes, and rewrite problematic sections automatically.
Currently it is designed for Python applications; other languages are not supported out of the box.
Set the key in `config.json` under the chosen provider or export it as an environment variable; the tool will read from there if the field is null.
Yes, the same functionality is available through the command‑line interface (`python main.py`).
SQLite is used by default; PostgreSQL can be enabled by installing `asyncpg` and `psycopg2` and updating `db.url` in `config.json`.
A dedicated Reviewer agent checks each generated step and routes problems back to the Code Monkey agent for correction before proceeding.
Project at a glance
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