An application called Repo Prompt was created to make working with AI models during code development easier. With its exact context control and interaction with several models, it facilitates developers’ efficient management and modification of code files through AI.
The objective is to make it possible for AI to comprehend code just as well as a human and to streamline the AI-assisted code editing process.
Features:
- Engineering visual context. a file tree interface that allows you to explore, search, and choose files throughout the project.
- Model Context Protocol (MCP) integration. enables you to use file analysis, synchronize context, and access data from many repositories directly in the tools you now use.
- Multiple AI models are supported. With your own API keys, you can connect to both local and cloud models (OpenAI, Anthropic, Gemini, etc.).
- A system for reviewing code. enables you to progressively or in batches examine and approve code modifications made by AI.
- Token optimization. Real-time token consumption optimization and visualization.
- Support for multiple repositories. enables you to work on various tasks.
- Library prompt. To boost productivity, save and utilize useful prompts.
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