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.
Incrementally build towards a user experience of:
Choose either stable or development.
For stable release:
pip install gpt-engineer
git clone email@example.com:AntonOsika/gpt-engineer.git
With an api key that has GPT4 access run:
export OPENAI_API_KEY=[your api key]
Create an empty folder. If inside the repo, you can run:
cp -r projects/example/ projects/my-new-project
main_promptfile in your new folder
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.
You can specify the “identity” of the AI agent by editing the files in the
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
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