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GPT Engineer
✓ verified, sync 2026-08-20AI-powered software development assistant.
What it does.
AI-powered software development assistant
Features
- User-Driven Specifications: Simply describe what you want to build, and GPT Engineer takes care of the rest.
- Interactive Clarification: The AI engages in a dialogue to ensure it fully understands your requirements before starting the build process.
- Pre-Prompts: Customize the AI's 'identity' and knowledge base by overriding the preprompts folder, allowing for project-specific expertise.
- Persistent Memory: Edited preprompts enable the agent to remember information between projects, enhancing continuity and efficiency.
- Image Input Support: Incorporate UX or architecture diagrams as additional context for your projects.
- Model Flexibility: Compatible with vision-capable models like GPT-4-vision-preview for enhanced understanding of visual inputs.
- Multiple Model Support: Works with OpenAI models (via API or Azure), Anthropic models, and open-source alternatives like WizardCoder.
- Local and Alternative Models: Options for running with open-source models, catering to various preferences and requirements.
Pricing history.
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