How to Use GPT Engineer

Install GPT Engineer: Clone the GPT Engineer repository from GitHub or download and unzip it. Run 'pip install -r requirements.txt' to install dependencies.
Set up OpenAI API key: Obtain an OpenAI API key with access to GPT-4. Set it as an environment variable named OPENAI_API_KEY.
Create a project folder: Make a new folder for your project within the GPT Engineer directory.
Write a prompt file: Create a file named 'prompt' in your project folder. Describe the application you want to build in natural language.
Run GPT Engineer: Open a terminal and run the command 'gpt-engineer projects/your_project_name' to generate code based on your prompt.
Review generated code: GPT Engineer will create multiple files with code and explanations in your project folder. Review the output.
Iterate and refine: If needed, modify your prompt and re-run GPT Engineer to refine the generated code and project structure.
Deploy and test: Follow any deployment instructions provided by GPT Engineer to run and test your generated application.

GPT Engineer FAQs

GPT Engineer is an AI-powered tool developed by Lovable that can generate entire codebases and build applications based on natural language prompts. It uses large language models like GPT-3.5/GPT-4 to enable rapid software development.

GPT Engineer Monthly Traffic Trends

GPT Engineer achieved 2.5M visits with a 460.8% growth in July. The $7.5M funding and seamless integration with Supabase and Edge Functions significantly enhanced its capabilities, attracting widespread attention and coverage in tech media. The platform's ability to generate production-ready code in real-time and accelerate development cycles by up to 20 times likely contributed to the surge in traffic.

View history traffic

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