GPT Pilot is an AI-powered development tool that automates the process of building full-stack applications. It uses multiple specialized AI agents to mimic the workflow of a real development team, guiding the creation of apps from initial concept to deployment.

How does GPT Pilot work?

GPT Pilot works by asking you to describe the app you want to build, using AI agents (like Product Owner, Architect, Developer, Code Monkey, Reviewer, etc.) to clarify requirements, plan architecture, break down tasks, write code, and review changes, and iteratively generating and reviewing code, with human oversight at key points.

What are the main AI agents in GPT Pilot?

The main AI agents in GPT Pilot include the Product Owner, who oversees the project (mostly symbolic); the Specification Writer, who clarifies and refines requirements; the Architect, who chooses technologies and checks installations; the Tech Lead, who breaks down development into tasks; the Developer, who plans implementation steps; the Code Monkey, who writes actual code; the Reviewer, who checks code quality and sends back for fixes; the Troubleshooter, who helps debug issues; the Debugger, who handles errors; and the Technical Writer, who creates documentation.

How do I get started with GPT Pilot?

The easiest way to get started with GPT Pilot is to install the VS Code Extension or use the CLI Tool by cloning the repository, setting up a Python virtual environment, and running python main.py. You will also need Python 3.9+ and an API key from OpenAI, Anthropic, or a local LLM.

Can I use my own API keys?

Yes. You can configure GPT Pilot to use your own OpenAI, Anthropic, or local LLM API keys. These are stored in a local config.json file for security.

API keys and sensitive data are stored locally, and the tool does not inherently encrypt application data, so security depends on your environment and practices. Users should always audit the generated code and follow their organization’s compliance standards.

Can I customize GPT Pilot?

Yes. GPT Pilot is open-source, so you can modify agents, add custom logic, integrate new tools or steps, and create new agents for specific tasks.

Can GPT Pilot work with existing codebases?

GPT Pilot is optimized for new projects. For existing codebases, you’ll need to manually onboard requirements, architecture, and schemas. There’s no automated import for legacy code or databases.

How does GPT Pilot handle errors and troubleshooting?

To handle errors and troubleshooting, users should review error logs in their terminal, check API keys and configuration, ensure dependencies (like Docker, PostgreSQL) are running, and consult the GitHub issues page or community forums for help.

What integrations does GPT Pilot support?

GPT Pilot supports integrations with OpenAI, Anthropic, Groq for LLMs, Docker, and PostgreSQL.

How does GPT Pilot ensure code quality?

GPT Pilot ensures code quality by having each step reviewed by the Reviewer agent, generating and running automated tests, and allowing human developers to intervene at any point to review, debug, or modify code.

Can I use GPT Pilot for free?

GPT Pilot is open-source, but you’ll need your own API key (which may have usage costs depending on the provider).

Where can I find more information or get help?

More information and help can be found at the GitHub repository (https://github.com/Pythagora-io/gpt-pilot), community forums, GitHub issues for troubleshooting, and through documentation and templates for custom agent creation.

What are the limitations of GPT Pilot?

The limitations of GPT Pilot are that it is best for new projects, not legacy code migration, it requires human oversight especially for complex or ambiguous requirements, and initial prompts must be clear as errors early on can lead to significant issues later.

How does GPT Pilot compare to other AI coding tools?

GPT Pilot stands out by using a multi-agent system to simulate a real development team, focusing on production-ready, full-stack applications, and allowing deep customization and integration.

gpt-pilot

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GPT Pilot is an AI tool that acts like a development team, creating full applications from your ideas. It works with you, writing code step-by-step and handling tasks like planning, coding, and debugging, while you oversee the process to ensure everything is just right.

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Overview Features Use Cases FAQ Integrations Pricing

About gpt-pilot

Who It's For

This tool is for developers who want to build new applications faster. It's also for anyone interested in seeing how AI can help create complex software projects. You get to oversee the process and guide the AI. It's best for starting fresh projects, not for updating old codebases.

What You Get

You get a complete, working application built from your description. GPT Pilot handles all the steps, from planning the technology to writing the code and debugging it. It works like a team of AI experts who write most of the code, leaving you to fine-tune the final few details.

How It Works

You start by telling GPT Pilot what kind of app you want. Then, different AI "agents" take over, like a product owner, architect, and developer. They plan the app, choose technologies, write the code piece by piece, and even review their own work. If there's a problem, other agents help troubleshoot and fix bugs, always keeping you in the loop.

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Features & Capabilities

🤖 Core AI Development Capabilities

Full Feature Generation

Writes complete application features based on provided descriptions, moving beyond simple code snippets.

Automated Debugging

Identifies and fixes code issues autonomously as they arise throughout the development process.

Multi-Agent System

Utilizes a sophisticated system of specialized AI agents (e.g., Architect, Developer, Reviewer) to manage various development stages.

🤝 Developer Workflow & Collaboration

Step-by-Step Development

Codes applications incrementally, mimicking a human developer's approach to facilitate real-time debugging and oversight.

Iterative Feature Extension

Enables developers to extend finished applications by adding new features through further instructions.

VS Code Integration

Offers a dedicated VS Code extension for a deeply integrated and seamless AI-assisted development experience.

⚙️ System Configuration & Scalability

LLM Provider Flexibility

Supports multiple Large Language Model providers, including OpenAI, Anthropic, and Groq, with Azure and OpenRouter compatibility.

Database Support

Provides built-in SQLite database support by default, with an option to configure PostgreSQL for more robust needs.

Scalable Context Management

Optimizes LLM context by filtering code to show only relevant parts, enabling efficient work on large-scale projects.

🗄️ Project Management & CLI

Project Listing & Resumption

Allows users to list all created projects and resume development from specific or latest steps via command-line interface.

Project Deletion

Provides a command-line option to permanently delete projects with a specified ID.

Use Cases

Accelerating Full-Stack Application Development

Developers often face time constraints when building new applications from scratch, requiring significant effort across various development stages. GPT Pilot acts as a complete AI development team, automating the process of clarifying requirements, architecting, coding, and reviewing, enabling rapid iteration and delivery of production-ready full-stack applications with human oversight.

Software DevelopmentFor: Software Developers

Streamlining AI-Assisted Debugging and Code Review

Traditional debugging and code review processes can be time-consuming and prone to human error, slowing down development cycles. GPT Pilot integrates a Debugger and Reviewer agent that works iteratively with the developer, identifying and fixing issues as they arise and ensuring code quality, making the debugging process more efficient and collaborative.

Software DevelopmentFor: Software Developers

Building Scalable and Customizable Software Solutions

Businesses require robust and scalable custom software, but developing such solutions typically involves extensive coding and architectural planning. GPT Pilot is designed to work at scale, showing only relevant code in context to the LLM, and being open-source, it allows developers to deeply customize agents and logic, facilitating the creation of complex, production-ready applications tailored to specific business needs.

Enterprise SoftwareFor: CTOs

AI-Driven Prototyping and Learning for Developers

Developers looking to rapidly prototype new ideas or learn about AI-driven development often face a steep learning curve and significant setup time. GPT Pilot offers a hands-on platform where developers can quickly describe an app idea and see it built step-by-step by AI agents, providing a practical way to experiment with new concepts and understand AI's role in the development workflow.

Software DevelopmentFor: Junior Developers

Frequently asked questions

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