GPT Engineer — Generate Entire Codebases from Prompts

Usage

Create new code

mkdir my-project && cd my-project
echo "Build a REST API with Flask that manages a todo list" > prompt
gpte .

Improve existing code

cd existing-project
echo "Add input validation and error handling to all endpoints" > prompt
gpte . -i

Custom model support

Supports OpenAI, Azure OpenAI, Anthropic models, and open-source alternatives like WizardCoder.

Vision capability

gpte projects/my-app gpt-4-vision-preview \
  --prompt_file prompt/text \
  --image_directory prompt/images -i

Pre-prompts

Customize AI behavior with --use-custom-preprompts for consistent coding patterns across projects.

Installation

Stable: pip install gpt-engineer Development: Clone repo → poetry install → poetry shell Docker: Available for containerized usage Codespaces: One-click browser-based setup

Python: 3.10 - 3.12 required

Benchmarking

Built-in bench tool for testing custom agents against APPS and MBPP datasets:

bench my-agent --dataset apps

FAQ

Q: What is GPT Engineer? A: CLI tool that generates entire codebases from natural language prompts. Iterative refinement with human feedback. Supports Python, JS, and more.

Q: How do I install GPT Engineer? A: Check the Quick Use section above for step-by-step installation instructions. Most assets can be set up in under 2 minutes.