Generate and iterate on a local codebase from a natural-language spec with gpt-engineer

Use gpt-engineer when an agent/operator needs to turn a prompt file into a local project scaffold, inspect the generated code, and run a supervised improvement loop before adopting the result.

Prerequisites

Python, pip, OpenAI-compatible or supported model API key, gpte CLI

Installation

Use the upstream install or setup path that matches your environment:

• Use Docker (instructions)

Requirements and caveats from upstream:

• python -m pip install gpt-engineer
• We actively support Python 3.10 - 3.12. The last version to support Python 3.8 - 3.9 was 0.2.6.

Basic usage or getting-started notes:

• For stable release:

• For development:

• git clone https://github.com/gpt-engineer-org/gpt-engineer.git

• Source: https://github.com/AntonOsika/gpt-engineer

• Extracted from upstream docs: https://raw.githubusercontent.com/AntonOsika/gpt-engineer/HEAD/README.md

Documentation

• https://gpt-engineer.readthedocs.io/en/latest/

Source

• Agent Skill Exchange