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How we work

Agentic engineering, told plainly

A person sets the goals and the limits. AI agents pick up the work, write the code, test it and land it. Automatic checks guard every change, and the platform watches itself for what breaks next.

The loop

From a problem to a deployed fix

  1. Goals and limits

    I decide what matters and draw the walls: what agents may change, what needs a person, and what never ships without a check.

  2. A backlog of jobs

    Problems and ideas are written up as jobs, with the evidence, the files involved and the command that proves the job is done.

  3. Agents take the work

    An agent claims one job, works in its own clean copy of the codebase, writes the code and runs the checks.

  4. Checks guard every change

    Type checks, import boundaries and page renders run on every change. Work that fails goes back to the backlog, not to the live site.

  5. Deploys without waiting

    Checked work merges and deploys on its own. Nobody has to be awake for a fix to reach the live site.

  6. The platform watches itself

    Collectors and scans check the live sites and the codebase, and what they find becomes new jobs. Then the loop starts again.

  • 3,145backlog jobs done by agents since the backlog started in February 2026
  • 1,579jobs done in the last 30 days
  • 5,668commits since the first one on 20 November 2025
  • 1lead engineer accountable for every decision

Counted from our backlog database and git history on 18 October 2026.

Working with us

Constant iteration, out in the open

Agentic engineering is not autopilot. It is constant iteration, every day: the system builds, a lead engineer directs and signs off.

If we build for you, you get the same rhythm: regular updates, real conversations and changes until it works the way you want it. You see the work as it happens, not at the end.

  • Updates as the work lands
  • Checks on every change
  • You work directly with the lead engineer
  • Built on our platform, not from scratch
Plainly

What it isn't

  • It isn't hands-off. A person sets the direction and decides what needs a human.
  • It isn't magic. Agents get things wrong, which is why every change has to pass the checks.
  • It isn't finished. The core is built and in use every day; now we are refining it.

Want this working on your platform?

Talk to us