GPT Engineer

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

Even if it is complex.

Philosophy

The philosophy of this project is that it should be be

• Simple to get value
• Flexible and simple to add new own "AI steps" (see steps.py)
• Incrementally build towards a user experience of:
  • high level prompting
  • giving feedback to the AI that it will remember over time
• Fast handovers back and forth between AI and human
• No databases, all computation is "resumable" and persisted to filesystems

Usage

Install:

• pip install -r requirements.txt

Run:

• Create a new empty folder with a main_prompt file (or copy the example folder cp example -r my-new-project)
• Fill in the main_prompt in your new folder
• run python main.py my-new-project

Results:

• Check the generated files in my-new-project/workspace_clarified

Features

Allows you to specify the "identity" of the AI agent by editing the files in the identity folder.

This, and reusing snippets in the main_prompt, is currently how you make the agent remember things between sessions.

Each step in steps.py will