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GPT Pilot is the core technology for the Pythagora VS Code extension that aims to provide the first real AI developer companion. Not just an autocomplete or a helper for PR messages but rather a real AI developer that can write full features, debug them, talk to you about issues, ask for review, etc.
📫 If you would like to get updates on future releases or just get in touch, join our Discord server or you can add your email here. 📬
GPT Pilot aims to research how much LLMs can be utilized to generate fully working, production-ready apps while the developer oversees the implementation.
The main idea is that AI can write most of the code for an app (maybe 95%), but for the rest, 5%, a developer is and will be needed until we get full AGI.
If you are interested in our learnings during this project, you can check our latest blog posts.
👉 If you are using VS Code as your IDE, the easiest way to start is by downloading GPT Pilot VS Code extension. 👈
Otherwise, you can use the CLI tool.
After you have Python and (optionally) PostgreSQL installed, follow these steps:
git clone https://github.com/Pythagora-io/gpt-pilot.git (clone the repo)cd gpt-pilot (go to the repo folder)python3 -m venv venv (create a virtual environment)source venv/bin/activate (or on Windows venv\Scripts\activate) (activate the virtual environment)pip install -r requirements.txt (install the dependencies)cp example-config.json config.json (create config.json file)config.json file:
openai, anthropic or groq) key and endpoints (leave null for default) (note that Azure and OpenRouter are suppored via the openai setting)null, will be read from the environment variables)fs.ignore_paths and add files or folders which shouldn't be tracked by GPT Pilot in workspace, useful to ignore folders created by compilerspython main.py (start GPT Pilot)All generated code will be stored in the folder
workspace inside the folder named after the app name you enter upon starting the pilot.
Click here to see all example apps created with GPT Pilot.
GPT Pilot uses built-in SQLite database by default. If you want to use the PostgreSQL database, you need to additional install
asyncpg and psycopg2 packages:
pip install asyncpg psycopg2
Then, you need to update the
config.json file to set db.url to postgresql+asyncpg://<user>:<password>@<db-host>/<db-name>.
python main.py --list
Note: for each project (app), this also lists "branches". Currently we only support having one branch (called "main"), and in the future we plan to add support for multiple project branches.
python main.py --project <app_id>
python main.py --project <app_id> --step <step>
Warning: this will delete all progress after the specified step!
python main.py --delete <app_id>
Delete project with the specified
app_id. Warning: this cannot be undone!
There are several other command-line options that mostly support calling GPT Pilot from our VSCode extension. To see all the available options, use the
--help flag:
python main.py --help
Here are the steps GPT Pilot takes to create an app:
If you are interested in contributing to GPT Pilot, join our Discord server, check out open GitHub issues, and see if anything interests you. We would be happy to get help in resolving any of those. The best place to start is by reviewing blog posts mentioned above to understand how the architecture works before diving into the codebase.
Other than the research, GPT Pilot needs to be debugged to work in different scenarios. For example, we realized that the quality of the code generated is very sensitive to the size of the development task. When the task is too broad, the code has too many bugs that are hard to fix, but when the development task is too narrow, GPT also seems to struggle in getting the task implemented into the existing code.
To improve GPT Pilot, we are tracking some events from which you can opt out at any time. You can read more about it here.
🌟 As an open-source tool, it would mean the world to us if you starred the GPT-pilot repo 🌟
💬 Join the Discord server to get in touch.