Tagged: mcp
3 articles
How AI agents find code in your repo Agents read too much code. Five strategies they use to fix it, from raw file reads to recursive language models. Read article Six Ways to Give an AI Agent a Map of Your Code Prowl, CodeBoarding, Memgraph GraphRAG, CodeGraphContext, SymDex, and jCodeMunch all solve the same problem differently. So does ilo graph. A comparison. Read article jCodeMunch: Use 80% Less Context jCodeMunch-MCP uses tree-sitter AST parsing to build a symbol index of your codebase, letting AI agents pull individual functions instead of whole files. The token savings are significant. Read article