CKB, the Code Knowledge Backend, bridges the gap between complex codebases and AI assistants, transforming how developers interact with their projects. It provides AI with semantic navigation capabilities, moving beyond simple text searches to understand code structure, ownership, and interdependencies. By analyzing code, git history, and various development artifacts, CKB enables AI to perform impact analysis, map architecture, detect dead code, and offer informed refactoring advice, all while carefully managing context to optimize for LLM capabilities. This system acts as an intelligent librarian for your code, offering precise, relevant insights without ever modifying the codebase itself.
Key Features
01Ownership Intelligence and Code Hotspot Detection
02Automated Architecture Mapping and Module Dependency Graphs
03Semantic Symbol Navigation and Call Flow Tracing
04Dead Code Detection using Usage Analysis and Telemetry
05Comprehensive Impact Analysis with Risk Scoring
0618 GitHub stars
Use Cases
01Enhancing AI assistants (e.g., Claude, Cursor) with a deep, semantic understanding of codebases.
02Generating architectural maps and understanding module responsibilities and ownership within a codebase.
03Performing rapid and accurate impact analysis for refactoring or major code changes.
