About CodeMesh

Product

CodeMesh.

Category

Context optimization for AI coding agents.

Purpose

CodeMesh is a context optimization layer for AI coding agents. It helps agents understand a codebase without repeatedly searching, opening and reading large amounts of source code, allowing them to work with more precise repository context and dramatically fewer unnecessary tokens.

How

Structural repository intelligence: parsing a codebase into functions, classes, imports, calls and dependencies, then retrieving only what's relevant to a given question instead of making an agent search and read files to find out.

Benchmark

CodeMesh's published benchmark tested 98 real software-engineering questions against a public repository, comparing an agent that reads files directly to one using only CodeMesh.

25.3M → 1.23M
Tokens, 98 questions
95.1%
Fewer tokens
$23.67 → $1.65
Measured API spend
93.1%
Lower measured cost

See the full benchmark · Read the methodology

Links

See what CodeMesh can do for your repository

Start Saving TokensSee the Benchmark