An AI-native engineer in your team

We put an AI-native engineer in your project. They work inside your sprints, your repository and your review, and build up the automation around the code with you, handing over to your own engineers from day one.

In practice: joining the daily stand-up, tickets from the same backlog, pull requests checked by your own reviewers. We configure agents for your codebase, document agreements in the repository and build the gates into your CI/CD, so what we leave behind keeps working without us. You decide on every commit; we are not a black box throwing code over the wall.

We teach your engineers to work with AI by doing it together: explaining, demonstrating and applying it to their own tickets, until it sticks.

In practice: half a day a week beside your developers, on their own tickets. We work at the same screen, show what an agent can and cannot carry, and set up together the async workflows that keep work moving outside office hours. What we set up is yours and lives in your repository, not in our notes.

We train your employees ourselves: what AI can and cannot do, and how to put it on their own case files. Coaching alongside the work already on their desk, with repeatable patterns instead of one-off prompts.

In practice: sessions with the people who do the work, on their own files. We map out together which step AI takes over and which it does not, write that down as a workflow your team runs again, and stay until it runs without us. Not a prompt library, a way of working.