We started exploring AI in earnest two years ago, and today agentic AI is part of how we deliver every day. Used well, it compresses the slow parts of engineering — scaffolding, refactors, test coverage, migrations — and the results have been genuinely strong.
But tools don't own outcomes; people do. Deep business knowledge, sound judgment, and architectural taste are what decide whether software is actually right — not merely whether it runs. AI amplifies a good team, and it amplifies a flawed plan just as quickly.
So our core approach hasn't changed: put the right senior people in charge of driving the work, and let AI make them faster — whether a task is hand-written or agent-assisted.