the premise
Models can write the code. What they can't do is tell you whether the code was
right, and most engineering organisations have no mechanism that answers that
question faster than a human reading a diff.
So the loop stays open. Agents produce more, review becomes the
bottleneck, throughput lands about where it started — except now the team trusts
the output less than it did before.
Closing it means building things that mostly don't exist in your org yet: specs
precise enough for an agent to work from, tests trustworthy enough to gate on, CI
that validates agent output before a human sees it, and decision records that stop
the same architecture argument recurring every sprint. That's the work. We do it
with your engineers, on your codebase, so the practice stays after we leave.
This works when there are engineers who want it and a codebase worth investing in.
It won't rescue a team that's already under water, and it isn't a procurement
exercise — if you're shopping for seat licences, we're the wrong call.
how we engage
Diagnostic
1 week · fixed fee
find where the loop is open
We read the codebase, watch how work moves from intent to merged, and talk to the
people doing it. You get an honest ranking of what's actually blocking agents here
and the first three moves, named.
Enablement Sprint
4 weeks · fixed scope
close it on one real surface
We build the whole loop once, end to end, on the surface with the most leverage —
specs, validation in CI, agent triggers, an eval harness that tells you whether any
of it is working. Built alongside your engineers, so the pattern transfers and not
just the artifact.
Fractional Steering
monthly retainer
keep it closed
Loops open again quietly. Evals stop being run, specs drift from the code, someone
disables a check to unblock a release. We stay attached — reviewing, escalating,
holding the standard — at a fraction of a full-time hire.