AI-native development is how we build by default now. Our senior team uses AI across the whole build, from the first product decision through the code, the tests and the documentation, so projects move faster with less time spent on repetitive work.
We have built software since 2015, and how we build has changed along the way. Today our team uses AI throughout that work, from the first product decision through the design, the code, the tests and the documentation. It has become our default way of working. AI handles the first pass and the repetitive parts, while our engineers, designers and QA make the calls, review the output and own the result. The point is not to replace the people who build your product. It is to give them faster, sharper tools, so more of their time goes into the parts that need judgement.
AI-native development is our method. It is the way the team works now, with AI helping at each step and a senior person owning the result. It is included in our standard process and runs through everything we do: product design, web, mobile, QA and maintenance.
It is not the same as AI development. AI development is the software we build for you: generative AI, LLM features, agents and machine learning inside your product. That is a service. AI-native development is how we build any product, whether or not that product has AI in it. If you came here looking for the service, that page is the one you want.
Product design
We move from idea to testable screens sooner, so you see and react to real designs earlier in the process.
Development
Our developers use AI to speed up every stage of the build, with each line reviewed, tested and signed off before it ships.
QA
AI helps us write and keep up more tests than a deadline used to allow, so coverage goes up instead of getting cut.
Maintenance
Routine fixes, upgrades and documentation turn around quicker, so your product keeps getting proper attention after launch.
Product strategy
We use AI to explore options and pressure-test ideas early, so the decisions you make rest on more than a hunch.
You get to a testable product sooner. When it needs AI, a working AI MVP can be ready in two to four weeks, enough to put in front of real users before you commit to more.
Nothing ships without a senior person reading it, testing it and putting their name to it. Faster does not mean looser.
The repetitive work that used to add up in hours is cheaper now.
Anyone can generate code now. Type a prompt, get a working function back. Code has turned into a commodity, and the tools that write it keep getting cheaper.
What you pay for is the senior team around the code. We use AI to go faster, but every line is read, tested and signed off by an engineer before it ships. We handle the QA, the security, the infrastructure and the judgement calls a model cannot make for you.
AI writes the first pass, and it takes on the repetitive work that used to eat our time: the unit tests and documentation that got skipped whenever deadlines got tight. Now they are cheap enough to do on every project.
You get faster delivery at a lower cost, and the quality stays where it has always been.
Manual Testing vs. Automated Testing: An Intro to Effective QA!
Dragos
QA Specialist
Reading time: 6 min
Feb 18, 2022
As humankind constantly evolves, we explore and invent new ways to make our lives easier. Even if we are talking about something simple like washing machines or more complex things like self-driving cars (we can see a pattern here), humans like to automate.
Optimistic Frontend Development
Victor
Head of Web Development
Reading time: 6 min
Feb 15, 2022
With web and mobile apps, there is a lot of planning and designing. When you have a complex system, new features can break the app’s UX, performance, or code.
4 Important Healthcare Apps Tips for 2022
Dan
Head of Mobile Development
Reading time: 5 min
Feb 9, 2022
There's no need to say that the last two years have been very challenging from a medical point of view and there has been an increasing demand for healthcare apps. What are the aspects you need to pay attention to if you want to build a healthcare app in 2022?
Cookies
This website uses cookies to ensure you get the best experience on our website.
For more information read ourprivacy policy.
