소개
This tool aims to bridge the context gap for Large Language Models (LLMs) in frontend development by enabling them to interact directly with the browser environment. Inspired by human developer workflows, it provides AI IDEs with crucial information such as API call details, visual UI context through screenshots, selected HTML element data, and even the ability to ingest and semantically search Functional Requirements Documents. By automating the retrieval and provision of this context, it allows AI agents to autonomously perform and delegate various frontend development tasks, enhancing efficiency and accuracy.
주요 기능
- Captures and organizes browser screenshots automatically, returning image data for immediate AI analysis.
- Executes authenticated API calls directly from the browser session, eliminating manual token handling.
- Ingests and processes Functional Requirements Documents (FRDs) into a vector database for semantic search.
- Retrieves detailed information about currently selected HTML elements in DevTools.
- 1 GitHub stars
- Analyzes and filters frontend-backend API interactions by URL, method, status, and payload.
사용 사례
- Automating frontend development workflows with AI-powered IDEs.
- Debugging and monitoring network requests and API interactions.
- Providing AI agents with visual and functional context for UI decisions and requirement understanding.
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