Tip: Replace Grep With a Vector-Indexed Code-Search MCP on Large Repos

GitHub·medium signal

On big codebases, swapping naive grep/file-read sweeps for a semantic code-search MCP (e.g. claude-context's hybrid BM25 + dense-vector retrieval over Milvus) lets the agent ask intent-level questions and pull only relevant snippets, reportedly cutting retrieval tokens ~40% at equivalent quality. The practical win is fewer wasted reads and less context bloat — the agent retrieves the three relevant functions instead of dumping whole files.