Deliberately boring where it counts

From your constraints, not our preferences. Existing team skills, hiring market, integration requirements, compliance needs and operational capacity all weigh more heavily than which framework is currently interesting. We write the reasoning into an architecture decision record so the choice can be revisited later with context.

Often, yes — particularly in modernization work where we inherit whatever exists. We are honest about depth: if we would be learning alongside you, we say so before you commit rather than after.

Because types catch a real class of defects before runtime, they document intent for the next person, and they make large refactors tractable. On projects with a Python or Go backend we apply the same principle with the type tooling native to that language.

AWS covers most engagements, but we work across AWS, Google Cloud and Azure. The right answer is usually wherever your team already has operational experience — that matters more than feature comparisons.

Automated dependency updates with test gates, a defined response window for critical security advisories, and scheduled time for upgrades. Deferred upgrades compound into migrations, which are far more expensive than routine maintenance.