Technology

TypeScript Development Services — Typed Full-Stack Engineering

End-to-end typed engineering — React, Next.js, NestJS, Node, and shared schemas — with the discipline TypeScript was built for.

What we build with TypeScript

  • Strict TypeScript across browser, Node, NestJS, and edge runtimes
  • Shared types and schemas with tRPC, Zod, OpenAPI codegen, or GraphQL Code Generator
  • Next.js full-stack apps with end-to-end type safety
  • NestJS backend services with typed DI, OpenAPI generation, and strict configs
  • Type-safe data layers with Prisma, Drizzle, Kysely, or TypeORM
  • Monorepos with Turborepo, Nx, or pnpm workspaces — shared lint, shared types, parallel CI
  • Migration of legacy JavaScript codebases to strict TypeScript — file by file
  • Strict mode flags: noUncheckedIndexedAccess, noImplicitOverride, no-explicit-any policies
  • Project references for fast incremental builds in large monorepos
  • Runtime validation at every external boundary with Zod or Valibot
  • Type-safe environment variables with t3-env or custom Zod schemas
  • Generic component patterns for typed design systems

Why DiveScale

Built by engineers who ship TypeScript in production

TypeScript pays for itself the first time a refactor lands without a runtime regression. DiveScale ships TypeScript with the discipline it earns: strict mode, no escape hatches in committed code, and shared types across the wire so the front-end and back-end agree at compile time.

We design for type safety end-to-end. Zod schemas validate at the edge; tRPC or generated OpenAPI clients carry types into the UI; database schemas flow through Drizzle or Prisma. The compiler becomes the team's first line of defense against the bugs that historically slip through code review.

Our default stack: Next.js (App Router, RSC) on the front, NestJS on the back, Drizzle or Prisma at the data layer, Zod for runtime validation, and shared schemas in a monorepo with Turborepo. End-to-end TypeScript means a database column rename triggers a compile error in the UI — which is exactly what we want.

We run incremental migrations on legacy JavaScript codebases — file by file, with no big-bang rewrites — so the type-safety dividend lands without halting feature work. Most teams we migrate see measurable bug-rate improvements within the first quarter.

And we are pragmatic about strictness. Strict mode is on. `any` is banned in committed code. `noUncheckedIndexedAccess` lands when the team is ready. We pick the strictness level the codebase can actually sustain, then ratchet up — never the other way around.

TypeScript use cases we deliver

Full-stack Next.js apps

End-to-end typed Next.js apps with shared schemas, Server Actions, edge-ready data layers, and database types that flow into the UI.

Type-safe APIs

tRPC, GraphQL Yoga / Apollo, or OpenAPI-first NestJS services with generated clients across consumers.

Monorepo platforms

Turborepo, Nx, or pnpm workspaces with shared types, shared lint, shared tokens, and parallel CI.

TypeScript migrations

Incremental migration from JavaScript to strict TypeScript without freezing feature delivery. Measurable bug-rate improvement.

Type-driven design systems

Component libraries with strict prop typing, discriminated-union variants, design tokens, and accessibility primitives.

NestJS backend services

Modular, typed NestJS services with dependency injection, OpenAPI generation, and end-to-end type safety to Next.js clients.

Shared schema infrastructure

Zod schemas as the source of truth, used at the API boundary, in form validation, in database mappers, and in test fixtures.

OpenAPI codegen pipelines

Generate typed clients for TypeScript, Swift, Kotlin, and Python from a single OpenAPI source — keeping mobile and backend types aligned.

TypeScript audits

Audit existing TypeScript codebases for type-quality issues — implicit anys, untyped externals, missing strict flags — and ship measurable remediation.

How we deliver

Our TypeScript delivery process

  1. 01

    Architect the type boundary

    Design where types live, how they flow across the wire, and what tooling enforces the contract at build time.

  2. 02

    Strict mode from day one

    Strict, noUncheckedIndexedAccess, and no-implicit-any are on by default. CI blocks regressions.

  3. 03

    Tooling for speed

    Project references, incremental builds, and tsc-aware CI so type-checking does not slow developers down.

  4. 04

    Runtime validation at edges

    Zod or Valibot at every external boundary — request bodies, env vars, third-party responses, queue payloads.

  5. 05

    Shared schemas

    Schemas in shared packages, consumed by clients and servers, so changes ripple through compile-time.

  6. 06

    Operate & evolve

    TS version upgrades, dependency hygiene, and refactors planned around the compiler — not around prayer.

TypeScript — Frequently Asked Questions

Yes, in almost every case. We run incremental file-by-file migration so feature work continues. Strict mode lands once the boundary stabilizes. Most teams see bug-rate improvements within the first quarter.

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