We vibe code
software
for a living._
Two senior developers. AI does most of the typing. We make sure the result actually works.
99% AI.
100% our responsibility.
The models write. We think, test, review and ship. Every line is our problem. So it doesn’t become yours.
An idea? A bottleneck? A gloriously weird problem?
If it can be expressed as software, we’ll probably build it.
Explore our services ↗MVPs & SaaS↗
Your idea, out in the world. A first version people can actually use.
Tools & automation↗
Less copying between spreadsheets. More getting on with your day.
APIs & integrations↗
Make your systems talk. Even the ones that don’t want to.
AI agents & data↗
Put your data to work. Search, agents and pipelines that do the heavy lifting.
Legacy rescue↗
Inherited a mess? We’ll find the fire, fix the code and make it maintainable.
The weird stuff↗
Maps, scrapers, wild prototypes. Tell us the idea you think is too specific.
Fast doesn’t mean fingers crossed.
Small steps. Tight feedback loops. Actual engineering.
Inside our process ↗Understand.
One problem. A clear outcome. We work out what matters and what can wait.
Build.
We break it down. The models get to work. You see real progress early.
Verify.
Tests, human review and real-world checks. Generated isn’t done. Verified is.
Ship.
Into production, with monitoring, documentation and a proper handover.
One week. One problem. Let’s ship it.
Let’s start simple: one week, two dudes and a sh*t load of tokens. We’ll show you what can be done in a week. Probably not the final product, but a really good MVP or prototype that you or we can keep building on.
AI makes mistakes. We built a process for that.
AI hallucinates. It writes bugs. So do humans. The job is catching those mistakes before your users do.
See what “done” means ↗The right model for the job. Not a lifelong commitment.
Less hype. More how.
Fair questions.
Do you really use AI for almost everything?＋
Yes. From planning and coding to tests and debugging. That doesn’t mean every generated line gets into production. We stay responsible for the result.
Is AI-generated code safe?＋
Safety depends on the engineering process. We review authentication, permissions and data handling, test critical paths, and validate changes before release.
What if the AI gets it wrong?＋
It will. That’s why we verify against documentation, run the code and test the result. A confident answer isn’t evidence.
Can you work with our existing codebase?＋
Absolutely. We can investigate bugs, untangle legacy systems, add tests and modernize one part at a time.
Do you only build prototypes?＋
No. We build production software too. A prototype proves an idea; a production release also needs security, testing, monitoring and ownership.
Got a “could you build…”?
That’s our favorite kind of conversation.
Tell us what to build↗