From first message to production, in five steps
No discovery theatre. You get a scoping call, a written spec with one price, and then working software every two weeks.
- 01
Scoping call
Thirty minutes on the problem, the users and the constraints. You leave knowing whether we are the right fit, and we leave with enough to write a spec.
Within 24 hours of your message - 02
Spec and fixed price
A written scope, a milestone plan, the architecture in outline and one price. Anything not in the document is out of scope until we both agree to add it.
Written, before we start - 03
Two-week sprints
Working software on a staging URL from the first sprint. Each sprint ends with a demo you can click and a short written note on what moved.
A demo at the end of every sprint - 04
Launch and handover
Production deploy, runbook, access and documentation. The repository, pipeline and infrastructure sit in your accounts, not ours.
Repository and IP are yours - 05
Optional maintenance
If you want us to stay on: bug fixes, dependency and security updates, and small features from a shared backlog.
Monthly capacity block
- One person who can make product decisions
- Access to the people who use or sell the thing
- Existing code, designs or data, if there are any
- Feedback on each sprint demo within two working days
AI-assisted delivery, with humans on the gate
Everyone on the team builds with AI in the loop — scaffolding, test generation, refactors, documentation. That is where the speed comes from. What it does not replace is judgement: nothing generated reaches your main branch without a human review, tests on the paths that matter, and a written rationale in the pull request.
- AI for scaffolding, test generation, refactors and documentation
- Human review on every merged change, by a second engineer
- Automated CI gates: lint, types, tests, build
- Quality bar unchanged — only the delivery speed moves