Fast doesn’t mean fingers crossed.
Small steps. Tight feedback loops. Actual engineering.
Understand
One problem. A clear outcome. We work out what matters and what can wait.
We start with a working session, not a spec review. What's the actual problem, who runs into it, and what does success look like? We separate what's core to the outcome from what's negotiable, so scope doesn't quietly grow later.
Build
We break it down. The models get to work. You see real progress early.
Work is broken into small, testable pieces instead of one large release. Coding agents draft the implementation while we set the architecture and review each step. You see progress as working software early, not as a status update.
Verify
Tests, human review and real-world checks. Generated isn’t done. Verified is.
Automated tests, type checks and a senior review run before anything ships. We check that the system behaves correctly under real conditions, not just that the code compiles. If a model's confident answer doesn't hold up, we catch it here.
Ship
Into production, with monitoring, documentation and a proper handover.
Release includes monitoring, error tracking and documentation, not just a deploy. We hand over what you need to maintain it yourselves, or stay on to keep it running. Nothing goes live without a rollback plan.
A small team. A new way to build.
Small-team efficiency. AI agent capacity. You work directly with experienced developers. AI agents help with implementation, testing and automating repetitive tasks, so we can spend more time on the important decisions and on making sure the finished software works. Price and schedule are always set by the actual scope of the work.
Agents run in parallel where dependencies permit. They don’t make production decisions.
- 01Goal & scope
- 02Architecture
- 03Bounded agent tasks
- 04Pull requests
- 05Human review
- 06Tests
- 07Release & monitoring
How we work. No bullshit.
No bullshit.
Above all, we value being straight with each other. We say what we think and do what we agreed.
No pointless tickets.
We don’t like useless Jira tickets or status meetings that help nobody.
Call or message.
Got something? Call or send a message and it gets handled. No queue, no middlemen.
Try it.
We’d rather try something than nothing. Try fast and the mistakes show up fast, too.
✳ If you don’t try, you can’t win.
AI agents implement. We’re accountable for the result.
Agents help with implementation, testing and repetitive work. We set the direction, review the changes and decide what goes into production.
See what “done” means ↗