Afiniti Mega AI
Application servers for an enterprise-grade AI product, built and maintained on NestJS, PostgreSQL, and Redis with 90%+ unit test coverage.
The problem
An enterprise AI product at this scale needed application servers that stayed reliable under continuous feature growth, with regressions caught before they reached production rather than after.
Our approach
We treated test coverage as a build requirement, not a follow-up task, pairing every new feature with Jest and Supertest coverage so the server layer stayed verifiable as it grew. Production bugs were resolved proactively rather than queued behind feature work.
What we built
Application servers on NestJS, PostgreSQL, and Redis, handling the core platform logic for an enterprise-grade AI product, with third-party API integrations extending its functionality. Test coverage was maintained above 90% across new and existing features throughout.
The outcome
The platform held up under continuous feature growth with coverage staying above 90% and production issues resolved ahead of escalation, keeping the AI product stable at enterprise scale.