Introducing GPT Engineer: Building Code with AI Assistance

Have you ever wished for a tool that could generate an entire codebase based on a prompt? Look no further! We're thrilled to introduce GPT Engineer, a powerful and user-friendly platform designed to make coding easier, adaptable, and efficient. With GPT Engineer, you can specify what you want your code to achieve, provide necessary clarifications, and watch as the AI builds it for you. In this blog post, we'll explore the features, setup process, and potential applications of GPT Engineer.

GPT-Engineer Prompt

At the core of GPT Engineer's design is a commitment to simplicity and flexibility. The aim is to provide a tool that delivers value quickly and enables users to extend its capabilities effortlessly. GPT Engineer generates an entire codebase based on a prompt, allowing you to shape the behavior and functionality of your agent according to your needs. 


With high-level prompting and the ability to give feedback that the AI remembers over time, GPT Engineer offers a fast and seamless collaboration between humans and AI. GPT Engineer is an open source tool written in Python and its version 0.0.3 was released recently with improved performance, smooth developer flow, feedback loops and other noticeable enhancements. 

Demo


Getting Started with GPT Engineer

To start using GPT Engineer, you have two options: stable release or development version. For the stable release, simply install GPT Engineer using the following command:

pip install gpt-engineer

If you prefer to use the development version, clone the repository from GitHub, navigate to the project directory, and install the dependencies:

git clone git@github.com:AntonOsika/gpt-engineer.git
cd gpt-engineer
make install
source venv/bin/activate

Setup and Configuration

Once you have installed GPT Engineer, you'll need an API key with GPT4 access. Set up your API key by running the following command:

export OPENAI_API_KEY=[your api key]

Create a new project folder by making a copy of the example project:

cp -r projects/example/ projects/my-new-project

Fill in the main_prompt file in your new folder, providing specific instructions and requirements for your code generation.

Running GPT Engineer

To generate code with GPT Engineer, execute the following command:

gpt-engineer projects/my-new-project

The generated files will be available in the projects/my-new-project/workspace directory. You can explore, modify, and enhance the codebase to meet your project's needs.

GPT Engineer is revolutionizing the way we approach code generation by combining AI assistance with human input. With its simplicity, adaptability, and ability to generate entire codebases based on prompts, GPT Engineer opens up new possibilities for developers and researchers alike. Give it a try today and experience the power of AI-assisted coding!

GPT Engineer github repo is available here at https://github.com/AntonOsika/gpt-engineer


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