GPT Pilot - an AI programming tool that enables 95% of developers to automate code writing.

What is GPT Pilot?

GPT Pilot is an AI programming tool that helps build applications from scratch by mimicking the workflow of human developers. It enables users to write code, debug programs, discuss issues with users, and request code reviews, making it a true AI developer partner. GPT Pilot supports multiple operating modes, including VS Code extensions, command-line tools, and Docker containers, allowing developers to improve their development efficiency in familiar environments.

GPT Pilot's main functions

• Full-featured code generationIt can write most application code, reducing the burden on developers and increasing development speed.
• Interactive Q&AEngage with developers, provide feedback on code issues, conduct code reviews, and help resolve complex problems.
• Highly integrated development environmentProvides a seamless development experience through VS Code extensions, allowing you to collaborate directly with AI within the IDE.
• Gradual developmentInstead of generating the entire application code at once, it is built step by step, mimicking the real development process.
• Task allocationBreak down development tasks into smaller, manageable steps, and have them assigned by a Tech Lead, ensuring that each task has a clear description.
• Developer participationDuring the code writing process, developers can review and debug, participating in every step of application creation.
• Code testingUse Test-Driven Development (TDD) to write test cases for the code, ensuring that new changes do not break existing code.
• Multi-platform supportIt supports multiple usage methods, including VS Code extensions, command-line interface, and Docker containers, improving compatibility and ease of use.

GPT Pilot project address

• GitHub repository:https://github.com/Pythagora-io/gpt-pilot

How to use GPT Pilot

• Installation EnvironmentEnsure that Python 3.9 or later, and a PostgreSQL database (if required), are installed on your system.
• Get GPT Pilot:Install the GPT Pilot extension in Visual Studio Code via VS Code.via command-line interface (CLI): Clone the GPT Pilot GitHub repository to your local environment.With Docker: Use Docker containers to run GPT Pilot.
• Setting up the work environment:For the CLI, follow the instructions in the repository to set up the virtual environment, install dependencies, and configure it. config.json document.For Docker, according to docker-compose.yml Configure environment variables in the file and start the container.
• Start GPT Pilot:In VS Code, launch GPT Pilot via an extension.In the CLI, by running python main.py Use the command to start.In Docker, via docker compose up The command starts the service and runs in the web terminal. python main.py.
• Creating and developing projects:Enter the application name and description, and GPT Pilot will guide you through the initialization of the project.Follow the prompts from GPT Pilot to assign tasks, write code, and debug.
• Interaction and Collaboration:Interact with GPT Pilot, answer questions, provide feedback, and review and modify generated code.
• Testing and review:Use GPT Pilot's testing capabilities to ensure code quality and perform necessary test-driven development.

Application scenarios of GPT Pilot

• Rapid prototypingGPT Pilot can help developers quickly generate application prototypes, accelerating proof-of-concept and early development phases.
• Daily coding tasksIn daily development work, GPT Pilot can assist in writing code, providing auto-completion and code suggestions to improve coding efficiency.
• Complex Problem SolvingWhen faced with complex programming problems, GPT Pilot can help developers find solutions through interactive question-and-answer sessions.
• Code review and refactoringGPT Pilot can participate in the code review process, provide feedback, and help improve code quality and maintainability.