Hire TypeScript developers to build and scale your software.

There is no single rate for TypeScript developers. Cost depends on the seniority you need, the engagement model you choose (adding developers to your team, a dedicated team, or a fixed-price project), how long the engagement runs and the scope of the work. For TypeScript work, the biggest drivers are the size and test coverage of any existing JavaScript to convert, how strict the target compiler configuration is, and whether the scope includes monorepo restructuring, shared packages or generated API clients. Share your requirements and we will come back with a quote for your situation.

You tell us the technology, seniority, role and team structure you need. We recommend TypeScript developer profiles that match those requirements, and you review the profiles and speak with the engineers yourself before anyone joins your team. When you interview, the areas worth testing are using generics, conditional types and utility types without overcomplicating code; narrowing unknown data and when to prefer unknown over any; planning a JavaScript to TypeScript migration and tightening compiler flags; sharing types between client and server via tRPC or schema code generation; combining runtime validation with static types, for example with Zod; and configuring tsconfig, project references and build tooling in a monorepo.

It depends on which engineers with the right skills are available when you get in touch, so we do not publish a fixed start date. Availability is part of the conversation when we recommend profiles, and the start date is agreed with you before the engagement begins.

Because you interview the engineers before anyone joins, fit is tested before work starts. If concerns come up once the engagement is running, raise them with us directly. How changes to the team are handled is set out in the terms you agree with us at the start.

A freelancer suits small, well-defined tasks you can manage yourself. A dedicated developer joins your team under your direction. A dedicated team adds several roles around your product, and a project-based team delivers a defined outcome end to end.

Incrementally. Enable allowJs so JavaScript and TypeScript files compile together, start with loose compiler settings, then convert files from the leaves of the dependency graph, such as utilities and API clients, upwards. Strictness is tightened step by step, so the team keeps shipping features throughout rather than pausing for a rewrite.

For new projects, yes, from day one. Strict mode enables checks such as strictNullChecks and noImplicitAny, which catch the null and undefined errors behind many production bugs. In existing code, flags can be enabled one at a time or applied to new directories first, with remaining errors tracked and reduced over time.

It means the types describing your API are shared by server and client, so a renamed or removed field breaks the build instead of the running application. tRPC achieves this by inferring types directly from server procedures. For REST or GraphQL APIs, code generation from an OpenAPI spec or GraphQL schema gives the same protection.

Types, validation schemas and API clients live in internal packages that frontend and backend apps import, managed with tools such as Turborepo or Nx alongside pnpm workspaces. Project references and incremental builds keep type checking fast, and a change to a shared type immediately shows every app it affects.

No. Types disappear at compile time, so data arriving from users, APIs or files still needs checking at runtime. Libraries such as Zod let you define a schema once, validate incoming data against it and infer the TypeScript type from the same definition, so the two cannot drift apart.

Yes. Packages are built with accurate declaration files, sensible generics and clearly exported types, bundled for both ESM and CommonJS consumers where needed. Type-level tests check that the public API behaves as documented, and semantic versioning signals breaking type changes to anyone depending on the package.

There is a small upfront cost in writing types, usually repaid through editor autocompletion, safer refactoring and fewer bugs reaching production. Overly clever types can hurt readability, so good TypeScript favors simple, explicit types at module boundaries and relies on inference wherever the compiler can work types out itself.