React
Component-based interfaces, with the state and performance discipline larger applications need.
An AI assistant is planned. Until it is genuinely useful we would rather point you at the page that actually answers your question.
One codebase across iOS and Android, drawing its own interface for consistent results.
A relational database that handles far more workloads well than most teams expect.
Document storage for data that is genuinely document-shaped — and honesty about when it is not.
A widely deployed relational database, most often encountered in systems already running on it.
In-memory storage for caching, sessions, queues and rate limiting — used where it removes a real bottleneck.
Architecture, migration and cost control on the cloud platform with the broadest service range.
Reproducible environments that behave identically on a laptop, in CI and in production.
Container orchestration for teams that need it — and a straight answer about whether you do.
Applied machine learning where evaluation is built in, so quality is measured rather than assumed.