Solutions · Product teams

Clear the backlog without clearing the calendar

Product teams with a mature codebase and a long list. Agents work the list with your conventions and your reviewers.

Knowledge holds your patterns. Agents follow them and reviewers stop repeating themselves.

The workspace turns review into a queue with the trace beside the diff. Twelve minutes a pull request, on average.

Reporting on runs, merge rate, first-time CI pass and review time, per team and per repository.

[01]Outcomes/ Product teams

54%

shorter cycle time on assigned work

12 min

median review time with the trace

96%

of runs pass CI first time

“Agents work the list. We keep the review.”

CTO at anturno

[02]Product/ The factory

What your team gets

Read the codebase, plan the change, build it, run the tests and open the pull request. Agents escalate to your team when they need a decision.

See every run in flight, review what is ready and pick up what an agent could not finish. The workspace is where people and agents meet.

Architecture and conventions in one knowledge base. Agents cite it when they build and update it when they learn.

Dependency bumps, flaky-test hunts, release notes, triage. Workflows run on a schedule or a trigger and open pull requests before anyone asks.

[03]FAQ/ Know before you go

The questions engineering teams ask before the first run.

An agent is a worker that takes a ticket or a spec, reads your repository and knowledge base, plans the change, builds it, runs your tests and opens a pull request. It escalates to a person when it needs a decision.
Across customers, 71% of assigned tickets reach a pull request that merges without a follow-up commit. The rest come back with a plan and a question.
Anything your tests can run. Agents work in TypeScript, Python, Go, Rust, Java, Ruby, Swift and Kotlin today, on monorepos and polyrepos.
No. The merge is always a person’s. Agents open the pull request, respond to review comments and keep it green.

/ See anturno in action