AI, built with engineering discipline.

It doesn't matter what you have on the other side. We attach to it, and we build in it.

You keep what you already have: repos somebody else wrote, a backend nobody fully remembers, infrastructure that has to keep serving while the new thing goes in. No rewrite, no migration onto our stack, no "first, replace everything." We attach to what is running and treat comprehension as an engineering job, with its own tools and its own gates. The new work is built inside that comprehension, with those gates running the whole time. At the end you keep what the contract names, and our engine leaves with us.

The industry insists on a rewrite because understanding someone else's system costs more than rebuilding it. Our method goes at that cost directly. We practice it on our own work, continuously, which is what produced Bonfire on PyPI, the open repos and the gates. The discipline is the method, not the headcount.