Welcome to the future of development! With GPT Pilot, you won’t just generate code; you’ll build fully functional applications with your AI ally by your side. Let’s dive into how you can make the most of this innovative tool.

Requirements

• Python 3.9+

How to Start Using GPT Pilot?

If you are using Visual Studio Code as your development environment, the easiest way to kick things off is by downloading the GPT Pilot VS Code extension. However, for a comprehensive use of GPT Pilot, you can also employ the Command Line Interface (CLI) tool. Here’s how to get started:

If You’re New to GPT Pilot:

1. Clone the repository:

git clone https://github.com/Pythagora-io/gpt-pilot.git

2. Navigate into the directory:

cd gpt-pilot

3. Create a virtual environment:

python3 -m venv venv

4. Activate the virtual environment:
• On macOS/Linux:

  source venv/bin/activate

• On Windows:

  venv\Scripts\activate

5. Install the dependencies:

pip install -r requirements.txt

6. Create a configuration file:

cp example-config.json config.json

7. Set your API keys and database settings in the config.json file.
8. Run the application:

python main.py

If You’re Upgrading from an Older Version:

1. Update the repository:

git pull

2. Activate the environment:

source pilot-env/bin/activate

3. Install new dependencies:

pip install -r requirements.txt

4. Import your previous settings:

python main.py --import-v0 pilotgpt-pilot

Examples of Apps Written by GPT Pilot

Discover a variety of applications that were successfully crafted using GPT Pilot by visiting our examples page.

Troubleshooting Tips

While using GPT Pilot, should you encounter any issues, consider these troubleshooting ideas:

• Check if all prerequisites are installed and updated.
• Ensure the virtual environment is properly activated before running the application.
• Review your config.json settings for accuracy, particularly your API keys and endpoint URLs.
• Use the --help flag to explore additional command-line options available.
• If you need further assistance, feel free to connect with us for insights or collaborations on AI development projects at fxis.ai.

Remember, at fxis.ai, we believe that advancements in AI are essential for the future, enabling comprehensive solutions. Our team continually explores new methodologies to innovate in artificial intelligence, ensuring our clients benefit from cutting-edge technology.

How GPT Pilot Works

Imagine building an intricate LEGO structure. You need to gather the right blocks (code), follow a design blueprint (requirements), and refine it as you go. Here’s how GPT Pilot acts in this scenario:

1. You start by specifying the name and purpose of your application.
2. The Product Owner agent provides direction but doesn’t interfere.
3. The Specification Writer agent asks clarifying questions on unclear project requirements.
4. The Architect agent outlines the technology stack and ensures installations.
5. The Tech Lead agent formulates tasks dependent on the project scope.
6. Next, the Developer agent composes a plain-language description of the implementation actions.
7. The Code Monkey agent translates this into actual code changes.
8. A thorough review takes place via the Reviewer agent to address any discrepancies.
9. Should problems arise, the Troubleshooter agent assists in giving feedback, and the Debugger agent helps to rectify issues.
10. Last, the Technical Writer agent creates documentation for the resultant application.

Connect with Us

If you’re eager to be part of an open-source community contributing to GPT Pilot, please join our Discord server or check out the open issues on GitHub.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.