Enables AI assistants to interact with Spring Boot backend APIs through Swagger/OpenAPI documentation, allowing listing, describing, and generating frontend code for endpoints.
Enables AI assistants to analyze codebases through semantic search, call graph generation, and function metadata extraction. Provides real-time code analysis with persistent vector storage for understanding complex code structures and relationships.
Analyzes Java codebases using an internal Knowledge Graph stored in SQLite, enabling symbol search, endpoint tracing, and impact analysis without requiring AI APIs.
Provides comprehensive codebase analysis and semantic understanding through integrated knowledge graphs, enabling AI assistants to understand project structure, patterns, dependencies, and context through multiple analysis tools and format generators.
Enables AI tools to analyze Java dependencies by scanning Maven projects, decompiling JAR files, and extracting detailed class information including methods, fields, and inheritance relationships. Solves the problem of AI hallucinations when generating code that calls external dependencies by providing accurate class structures through decompilation.