Specify what you want to build in natural language, and GPT Engineer generates the complete codebase with best practices.
GPT Engineer is easy to set up with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo view gpt-engineer-org/gpt-engineer --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
GPT Engineer is a code generation tool that takes a natural language description of what you want to build and produces a complete, runnable codebase. It asks clarifying questions, generates code step by step, and follows software engineering best practices.
GPT Engineer is a code generation tool that takes a natural language description of what you want to build and produces a complete, runnable codebase. It asks clarifying questions, generates code step by step, and follows software engineering best practices.
Strong trust signals; still review the README and permissions before production use.
Last commit was about 53 days ago.
53000 GitHub stars indicate community interest.
210 open issues signal maintenance load.
MIT license detected.
Prototype generation
Project bootstrapping
Learning by example
Generated code should be reviewed before production use
API key required for LLM access
53,000
Stars
7,100
Forks
210
Issues
MIT
License
Run large language models locally with a simple CLI. Supports Llama, Mistral, Gemma, and 100+ models with one command.
A public repository of example skills for Claude, demonstrating how to create reusable instructions and resources for specialized tasks.
Anthropic's official CLI agent for coding. Claude-powered terminal agent that reads, writes, and refactors entire codebases.
2 security/trust notes recorded.
Setup difficulty is 2/5.