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3ffb907a6f
- Introduced a comprehensive design document for a Code Semantic Graph aimed at enhancing static analysis capabilities. - Defined the architecture, core components, and implementation steps for analyzing function calls, data flow, and dependencies. - Included detailed specifications for nodes and edges in the graph, along with database schema for storage. - Outlined phases for implementation, technical challenges, success metrics, and application scenarios.
1.5 KiB
1.5 KiB
Context Requirements
Before implementation, always:
- Identify 3+ existing similar patterns before implementation
- Map dependencies and integration points
- Understand testing framework and coding conventions
Context Gathering
Use Exa
- Researching external APIs, libraries, frameworks
- Need recent documentation beyond knowledge cutoff
- Looking for implementation examples in public repos
- User mentions specific library/framework names
- Questions about "best practices" or "how does X work"
Use read_file (MCP)
- Reading multiple related files at once
- Directory traversal with pattern matching
- Searching file content with regex
- Need to limit depth/file count for large directories
- Batch operations on multiple files
- Pattern-based filtering (glob + content regex)
Use codex_lens
- Large codebase (>500 files) requiring repeated searches
- Need semantic understanding of code relationships
- Working across multiple sessions
- Symbol-level navigation needed
- Finding all implementations of interface/class
- Tracking function calls across codebase
Use smart_search
- Unknown file locations
- Concept/semantic search ("authentication logic", "payment processing")
- Medium-sized codebase (100-500 files)
- One-time or infrequent searches
- Natural language queries about code structure
Mode Selection:
auto: Let tool decide (default)exact: Known exact patternfuzzy: Typo-tolerant searchsemantic: Concept-based searchgraph: Dependency analysis