GPT Pilot is an AI-powered development tool designed to assist developers in building full applications, not just generating code snippets. It aims to automate the majority of the coding process, allowing a human developer to oversee and guide the implementation, making it suitable for developers seeking an AI-augmented workflow.

How It Works

GPT Pilot employs a multi-agent system that mimics a real development team. Agents like the Specification Writer, Architect, Tech Lead, Developer, Code Monkey, Reviewer, Troubleshooter, and Debugger collaborate to break down tasks, write code, review it, and handle debugging. This step-by-step, agent-driven approach allows for iterative development and easier debugging compared to tools that generate entire codebases at once. It also manages context by only feeding relevant code snippets to the LLM for each task, enabling scalability.

Quick Start & Requirements

• Installation: Clone the repository, create and activate a Python 3.9+ virtual environment, install dependencies (pip install -r requirements.txt), copy example-config.json to config.json, configure API keys and database settings, then run python main.py.
• Prerequisites: Python 3.9+, OpenAI/Anthropic/Groq API key. PostgreSQL is optional but supported.
• Configuration: Requires setting LLM provider, API key, and optionally database connection details in config.json.
• Resources: Local setup involves cloning, environment setup, and dependency installation. No specific hardware requirements are listed beyond standard development machine capabilities.
• Documentation: Examples of apps, VS Code Extension, Docker.

Highlighted Details

• Acts as an AI developer companion, writing full features and debugging.
• Employs a multi-agent system simulating a development team.
• Iterative, step-by-step code generation for better debugging and scalability.
• Supports OpenAI, Anthropic, and Groq LLM providers.
• Offers a VS Code extension for integrated use.

Maintenance & Community

• Active community with a Discord server for support and discussion.
• Encourages contributions via GitHub issues.
• Discord, Twitter.

Licensing & Compatibility

• The repository does not explicitly state a license in the README.

Limitations & Caveats

The quality of generated code is sensitive to the size of development tasks; overly broad tasks lead to bugs, while overly narrow tasks can cause implementation struggles. The project tracks telemetry by default, though opt-out is available.