TypeScript Development Agency — Type-Safe Apps

TypeScript catches entire categories of bugs — undefined property access, incorrect function arguments, type mismatches — before code runs. It also makes refactoring safe: rename a type and the compiler tells you every affected call site. Teams consistently report 15–40% fewer runtime bugs after adopting TypeScript.

Yes, especially beyond the initial learning curve. TypeScript pays dividends as codebases grow — types become documentation, autocomplete becomes more accurate, and onboarding new developers is faster because intent is explicit in the code.

Yes. Kultrix always enables strict mode in tsconfig — strictNullChecks, noImplicitAny, strictFunctionTypes, and the full strict flag. Loose TypeScript configs give false confidence; strict mode is where the real safety benefits come from.

tRPC is a library that gives you end-to-end type safety between your TypeScript backend and frontend — no code generation, no OpenAPI schema, just shared types. It is ideal for Next.js full-stack projects where backend and frontend live in the same repo.

Types are erased at runtime, so API inputs and external data need runtime validation. We use Zod — it lets you define schemas that both validate at runtime and infer TypeScript types, keeping a single source of truth.

Yes. Kultrix performs incremental JS-to-TS migrations — we start by renaming files to .ts, enabling allowJs for gradual adoption, adding types file by file, and progressively tightening the config. The app stays deployable throughout.

In monorepos, we create a shared @repo/types or @repo/api-client package that exports interfaces and Zod schemas. Both the frontend and backend import from this package, ensuring API contracts never drift between client and server.

Yes. We use GraphQL Code Generator to produce TypeScript types from GraphQL schemas and queries. This means your React components have fully typed query results and your resolvers have typed arguments — no manual type maintenance.

Type coverage measures what percentage of your codebase has explicit types versus implicit any. Low coverage means TypeScript is giving you false confidence — the compiler cannot help where types are missing. We target 95%+ coverage on all TypeScript projects.

Prisma is the gold standard — it generates TypeScript types from your database schema, so your query results are fully typed without any manual work. Drizzle ORM is an alternative with a TypeScript-first schema definition that many teams prefer.

TypeScript type checking can be slow on large codebases, but we separate type checking from transpilation. We use esbuild or SWC for fast transpilation in dev/prod, and run tsc --noEmit only in CI for type checking. This gives fast builds without sacrificing safety.

A TypeScript migration of an existing JavaScript project typically takes 2–6 weeks depending on codebase size. New TypeScript projects have no overhead versus JavaScript since we set up the config correctly from day one at Kultrix.