App Maintenance & Support with TypeScript

A regular release cadence beats emergency-only updates. Small, frequent changes are easier to test, easier to roll back and far less likely to break something else.

TypeScript is strongest at one language across client and server, with types catching integration errors at build time. For app maintenance & support that matters because the failure modes of this kind of system tend to cluster exactly there.

The honest trade-off: the ML ecosystem is in Python, so heavy model work lives there. We say that up front because a stack chosen for fashion rather than fit becomes someone's migration project two years later. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.

You own the code, the models where they are open-weight, and the documentation to run it without us.