Developer tools

AI agents for developer tools

Agents that work on code and infrastructure, where being wrong is expensive, being slow is worse, and your users can read the output.

Why this one is different

Developers are the least forgiving audience you will ever ship AI to. They can tell when it's confabulated, and they will turn the feature off the first time it wastes their afternoon. The latency budget is hundreds of milliseconds and a wrong answer costs more trust than a missing one.

What we build

01
Codebase-aware retrieval
Retrieval that follows imports and call graphs instead of chunking text by character count, so the context window holds the code that actually matters to the question.
02
Agentic CI and triage
An agent that reads a failing build, reproduces it locally, and opens a diff — rather than summarising the log back to the person who already read it.
03
Documentation that stays true
Generation wired to the source so docs change when the code does, with drift caught in CI instead of discovered by a confused user.

What has to be right

Precision beats coverage

A developer tool that's right eighty percent of the time gets uninstalled. We ship evaluation harnesses and hard fallbacks so the system declines instead of guessing.

Other segments