Code Analysis
Provides advanced code analysis and semantic search capabilities for large codebases, facilitating automatic refactoring and domain understanding.
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Code Analysis is an intelligent server designed to deeply understand and analyze large software codebases. It offers advanced capabilities such as semantic search, code structure analysis, and dependency mapping, which are crucial for tasks like automatic refactoring and Domain-Driven Design (DDD) improvements. Leveraging technologies including TreeSitter for code parsing, PostgreSQL with pgvector for robust data storage, and OpenAI embeddings for powerful semantic search, this tool helps developers navigate, explain, and evolve complex systems by building a comprehensive knowledge graph of their codebase.
Características Principales
- Domain-Driven Analysis for extracting business entities and bounded contexts
- Incremental Updates with Git-based change tracking
- DDD Refactoring suggestions and anti-pattern detection
- Semantic Code Search with natural language queries
- Code Structure Analysis and dependency mapping
- 1 GitHub stars
Casos de Uso
- Generating DDD-based refactoring suggestions and tracking domain evolution.
- Analyzing codebase structure to identify dependencies, aggregate roots, or bounded contexts.
- Finding relevant code snippets or functions using natural language descriptions.