Ship 50–100% faster. Same team.
We set up AI assistants properly in your codebase, coach your developers on real tickets, and prove the gain against your own baseline.
Ticket
Retry failed card payments with backoff
Sprint board
Velocity 18 pts ↑ risingTo do
In progress
Done
CI checks
Coverage 85%
Trusted by product teams at
Five outcomes you can see within weeks
Clear the backlog faster
Routine features, fixes and boilerplate move at up to twice the pace.
50–100%
Target range, validated in weeks 5–8 against your baseline
Your standards, every file
Conventions applied by everyone, not just your best developer.
Ask the codebase
Knowledge leaves people’s heads.
PaymentRetryPolicy: 3 tries, exponential backoff.Status writes itself
Every ticket records what was done, when, and how complete.
Test-first, every time
Tests come from the spec before the code, so coverage rises instead of slipping.
From ticket to tested, documented code
The developer stays in charge. The assistant does the heavy lifting and keeps the record.
Ticket picked up
Requirement and acceptance criteria read from Jira, Linear or Azure DevOps.
Build with context
Your codebase, standards and patterns.
Test-first
Tests written from the spec, then code built to pass them.
TDDHuman review
Your engineer reviews and owns the PR.
Ticket updated
Done, when, test results and completeness, posted automatically.
Four weeks to set up. Four weeks shipping real tickets.
Understand
Code and workflow mapped, baseline captured, assistants recommended per stack.
Stop here and keep a plan you could run with anyoneSet up
Assistants configured, guardrails in place, ticketing and CI connected, team trained.
Stop here and keep working, governed toolsProve
Our engineer pairs with yours on real tickets. Week-8 report against the baseline.
Stop here and keep measured resultsPractitioners who ship, with numbers to show for it
A messy, real estate. Not a demo.
A 2020 Java platform and a 2026 TypeScript platform, delivered side by side.
Unit tests, most of the growth in under three weeks
Client name withheld for confidentiality. No timing baseline was measured on that engagement, which is why our program starts with one.
What could your team get back?
Illustrative, not guaranteed. 140 working hours per developer per month and a 50–100% speed-up on routine work.
Extra capacity each month
315–630 h
Like adding 2.3–4.5 developers, without hiring.
Built in, not bolted on
Our developers already use ChatGPT and Copilot.
Individually, yes: unconfigured, ungoverned and unmeasured. We turn that into a configured, secure team workflow with a baseline and a number at the end.
Is 50–100% a promise?
No. It’s the target for routine work, validated in weeks 5–8 against your week-1 baseline. Web and backend gain most; native mobile less.
What if the pilot shows no gain?
You avoid a team-wide rollout, learn where the real bottleneck is, and keep the improved CI, tests and ticket transparency. We’ll say stop if the data says so.
How much of our team’s time does it take?
Two half-day workshops and a 30-minute weekly check-in. Your pilot group keeps working its normal backlog.
Let’s build an AI-enabled engineering team.
A 20-minute readiness call: where AI will pay off for your team, and where it won’t.
Book a 20-min call