AI Agent for Software Development

The agent receives a task — typically a ticket or a Slack message — and reads the relevant files in your repository before producing a plan. It executes the plan in a sandboxed worktree, runs your test suite, and opens a pull request once green. A human reviewer remains the merge gate.

Best for backlog work that has a clear acceptance test: refactors, dependency bumps, well-specified bug fixes, repeatable feature scaffolding. It is not a replacement for engineers — it is a force-multiplier on the routine third of the queue that drains senior time.

The agent runs against a pinned model, in an isolated worktree, with a typed allowlist of shell commands. All actions are auditable through your git history; the agent never pushes to protected branches.