BITS
Software engineering
End-to-end product engineering — TypeScript, edge, Postgres, queues, observability — built with the kind of care that compounds for years.
The problem
Most codebases get worse on a schedule. The first feature ships fast; the tenth fights the architecture.
We build for the tenth feature. That means investment up-front in modeling, types, tests, and observability — and ruthlessness about what doesn't need to exist.
Workflow
01
Model the domain
Types and database schema before screens. If the model is right, half the bugs never get written.
02
Spine first
The smallest end-to-end slice: one critical user flow, fully instrumented. Then everything else attaches to that spine.
03
Surface area at the edges
Validation, authn, rate limits, and observability live at the boundary — not scattered through the app.
04
Ship and watch
Real-user monitoring, error tracing, perf budgets enforced in CI. Regressions caught before users complain.
Benefits
Type safety end-to-end
Database column to React component, one inferred type. Refactors complete in hours, not weeks.
Performance budgets in CI
Every PR runs Lighthouse and bundle-size checks. Slow code can't ship by accident.
Observability by default
Errors, traces, and real-user metrics flow from day one — not bolted on after the first outage.
Technologies
- TypeScript
- Next.js
- React Server Components
- Tailwind
- Postgres
- Drizzle / Prisma
- tRPC
- Zod
- Vercel / Cloudflare
- Sentry
- OpenTelemetry
- GitHub Actions
Industries served
- Healthcare
- Enterprise
- Government
- Education
- Fintech
Frequent questions
Can you work on existing codebases?
Yes. We audit, stabilize, and incrementally refactor existing systems. We don't pitch rewrites unless the math is unambiguous.
What's your testing philosophy?
Type system first, integration tests second, unit tests where logic justifies them. We don't chase coverage; we chase confidence.
Do you do mobile?
React Native for cross-platform; native iOS/Android via partner studios when the use case demands it.