9 of every 10 tools never get sent
Mesh hands the model only the handful of tools a task actually needs — not all 122 — so every turn starts lighter.
Your whole repo, pocket-sized
Instead of raw source, Mesh keeps a compact capsule of each file. Watch the codebase collapse into it.
Answers without reading the whole file
A raw agent pours in whole files. Mesh trickles in the one snippet that answers the question.
Finds the right code, first try
Across 50 questions, the exact right function is the very first result 94% of the time — always within the top three.
A needle in a haystack of code
A 3-D wall of code with one fact buried inside. Mesh pulls the exact needle out every time. Drag to look around.
It won't make things up
When the supporting fact isn't found, raw keyword search guesses. Mesh surfaces the real source, so answers stay grounded.
Knows which file to fix
From a plain-English bug report, Mesh scans the tree and locks onto the file to change. Keyword search misses far more often.
Gets better the bigger your repo
A raw agent reads more as the codebase grows. Mesh fetches the same small snippet at any size — so the savings compound.
Long sessions stay light
Over a 20-turn session a raw agent's context piles up turn after turn. Mesh dedupes and trims — so it stays flat while raw climbs.
Follows the trail across files
When the value you need lives in another file, Mesh fetches that definition. Watch it carry the value across.
Works even when you mistype
Typos, abbreviations, different words — Mesh matches on meaning and keeps finding it. Keyword search loses every misspelt term.
Search by what code does
Describe it in your own words — sharing not a single term with the code — and Mesh still threads straight to the function.
One model. Twelve wins.
Same brain, a fraction of the context — and it finds code where a keyword scan can't. That's what Mesh changes.