It is a terminal-based platform designed for experimenting with AI-driven software engineering, specifically focusing on code generation and improvement.
It is a terminal-based platform designed for experimenting with AI-driven software engineering, specifically focusing on code generation and improvement. The platform, named gpt-engineer, allows users to interact with AI models to create new code or enhance existing codebases. It is distinct from the commercial project gptengineer.app, which is a managed service for generating web apps with a user-friendly interface.
gpt-engineer supports Python versions 3.10 to 3.12, with the last version supporting Python 3.8 to 3.9 being 0.2.6. It can be run in various ways, including through a stable release or development setup. The platform is compatible with OpenAI and Azure OpenAI APIs, as well as Anthropic models. Additionally, with some configuration, it can work with open-source models like WizardCoder.
Users can customize the AI agent’s behavior by modifying the “preprompts” folder, which allows the agent to retain knowledge across projects. The platform also supports vision-capable models, enabling users to provide image inputs, such as UX or architecture diagrams, to enhance context for code generation. This is done by specifying an image directory and using a vision-capable model like GPT-4 Vision.
The gpt-engineer community is actively engaged in benchmarking initiatives and research, with contributions from members who have developed research briefs and other collaborative efforts. The project is governed by a board of long-term contributors, and the community encourages participation from those interested in shaping its future.
By using gpt-engineer, users agree to the platform’s terms, and the project maintains a strong focus on open-source collaboration and tool development for coding agent builders. For more details, users can refer to the documentation, roadmap, and community resources like Discord.
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