AI Agent
Agent Dispatch
Removes the wait between deciding what to build and having it built. A task shouldn't sit in a queue for a free engineer, it should start the moment it's ready.
What is it?
An agent that watches our own task board and picks up ready work the instant it's marked ready. No standup, no assignment, no "who's got capacity." It checks the task is genuinely ready, builds it, and hands its own work to a second agent for review, automatically.
What does it do?
- -No idle work: ready tasks start immediately, day or night, instead of waiting for the next available engineer.
- -Engineers spend time reviewing, not typing: the routine implementation work moves to the agent, people stay on judgment calls, architecture, and the review that catches what the agent can't.
- -Consistent baseline quality: every run is pre-validated (type-checked, dependency-checked) before it's allowed to touch a line of code, the same bar every time.
- -A full audit trail for free: every dispatch leaves a transcript, a branch, and a project-board update behind it, nothing built in the dark.
- -It scales with the backlog, not the team: busiest day in our data saw 23 tasks dispatched in a single day. No hiring required to hit that.
Why does it matter?
Most delivery speed is lost in the gaps between decisions and work starting, not in the work itself. If a task is well-specified, the bottleneck isn't skill, it's availability.
Who is it for?
Engineering Leaders
How it works
Claude Sonnet, running through an agentic coding CLI on dedicated infrastructure, wired directly into our GitHub workflow. It validates the task against a machine-readable contract before touching any code, builds and tests the change, pushes a working branch, and triggers review, unattended, in one continuous run.