GPT Engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

GPT Engineer is made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based on a prompt.

Demo 👶🤖

Project philosophy

Simple to get value
Flexible and easy to add new own "AI steps". See steps.py.
Incrementally build towards a user experience of:
1. high level prompting
2. giving feedback to the AI that it will remember over time
Fast handovers back and forth between AI and human
Simplicity, all computation is "resumable" and persisted to the filesystem

Usage

Setup:

pip install -r requirements.txt
export OPENAI_API_KEY=[your api key] with a key that has GPT4 access

Run:

Create a new empty folder with a main_prompt file in the projects folder (or copy the example folder cp -r projects/example/ projects/my-new-project)
Fill in the main_prompt in your new folder
Run python -m gpt_engineer.main my-new-project
- Optionally pass in true to delete the working files before running

Results:

Check the generated files in projects/my-new-project/workspace

Limitations

Implementing additional chain of thought prompting, e.g. Reflexion, should be able to make it more reliable and not miss requested functionality in the main prompt.

Contributors welcome! If you are unsure what to add, check out the ideas listed in the Projects tab in the GitHub repo.

Features

You can specify the "identity" of the AI agent by editing the files in the identity folder.

Editing the identity, and evolving the main_prompt, is currently how you make the agent remember things between projects.

Each step in steps.py will have its communication history with GPT4 stored in the logs folder, and can be rerun with scripts/rerun_edited_message_logs.py.

Contributing

If you want to contribute, please check out the projects or issues tab in the GitHub repo and please read the contributing document on how to contribute.

High resolution example

Demo.mov