Your AI coding agent reads 19 files to answer "who calls this?" because it has your code's text but never its map. Sense indexes your repo once and serves your AI a symbol graph, blast radius, semantic search, and convention detection over MCP. It finishes the same task in half the tool calls and ~32% fewer tokens, with better correctness. One local Go binary. No API key, no cloud, no Python. Works with Claude Code, Cursor, Codex, and OpenCode. Free and open source.
AI coding tools are brilliant at generating code. They're blind when it comes to understanding your codebase.
They can't tell you who calls a function. They don't know what breaks if you change something. They have no idea how your team actually writes code. Every session, they start from scratch: grep, read files, guess, burn tokens.
Hey makers! I've been building with Claude Code for months and one thing keeps bugging me. Every time it needs to understand your codebase, it greps around, reads files one by one, and pieces things together blind. It works, but it's slow and sometimes misses the bigger picture.
I know the space is crowded. There are plenty of tools tackling this now and I've tested most of them. Graphify, Gortex, code-review-graph, tokensave, Repomix, Drift, codebase-memory-mcp... My daily driver before this was GrepAI. They all do useful things.
Sense, code intelligence for AI agentsYour AI has your code's text, never its map. Fix that.Jun 2026
