--- title: "TypeScript Development Services | Arbocode" description: "We use TypeScript across frontend, backend and shared packages so that a change to an API contract fails the build and never reaches production." url: https://arbocode.com/technologies/typescript --- 1. [Home](https://arbocode.com/) 2. [Technologies](https://arbocode.com/technologies) 3. TypeScript Frontend # TypeScript Development Services Types shared across frontend and backend so contract mismatches show up at build time, well before production. [Get a free estimate](https://arbocode.com/get-a-quote) [Speak with an engineer](https://arbocode.com/contact) NDA on request · Free, no-obligation estimate · Reply within one business day NDA signed before we start Full IP ownership on payment Your repository from the first commit Live demo at the end of every sprint Built by senior engineers [How we work](https://arbocode.com/process) TypeScript adds a static type layer on top of JavaScript, checked at build time and erased before the code runs. It changes almost nothing about how JavaScript executes and almost everything about how confidently a team can change code without breaking something they cannot see. The compiler catches a whole class of errors before shipping (wrong shape of data, a renamed field, a missing null check). We write nearly everything in TypeScript by default, across React, Vue, Node.js and React Native projects, because the cost of adding types is small and the cost of not having them shows up later as production bugs that a type checker would have caught in seconds. On projects with both a frontend and a backend under our control, we go further and share type definitions for API request and response shapes between the two, so a backend change that breaks the contract fails the frontend build immediately instead of failing silently at runtime. Fit ## When TypeScript is the right choice, and when it is not ### Good fit - The codebase will be maintained by more than one developer, or by the same developer six months from now who will not remember every implicit assumption - You have an API boundary between a frontend and backend, or between services, where a shared type definition catches contract drift before it reaches production - The application has non-trivial data shapes (nested objects, discriminated unions, optional fields) where a typo in a property name is easy to make and hard to spot in plain JavaScript - You are building something intended to last years rather than a one-off script, since types pay for themselves most during refactors and onboarding - The team already has some TypeScript experience and the incremental cost of setup is small relative to the codebase's expected lifespan ### Consider something else - You are writing a short, disposable script or a one-time data migration where the code will be deleted within days and the type annotations would take longer to write than the script itself - The team has zero TypeScript experience and the project has a hard, immovable deadline that does not allow for the initial learning curve on generics and utility types - You are prototyping an idea where the data shapes are still changing daily; strict typing on a design that is not settled yet can slow exploration more than it helps - You have inherited a large, untyped JavaScript codebase and the immediate priority is shipping a specific feature and a migration would delay it; converting piecemeal without a plan often creates half-typed code that is harder to reason about than either fully typed or fully untyped code What we build ## What we build with TypeScript - ### Shared types between frontend and backend API request and response types defined once and imported on both sides of the boundary, so a backend field rename or removal fails the frontend's build instead of failing quietly in the browser. - ### Strict compiler configuration Strict mode enabled from day one on new projects (no implicit any, strict null checks), which catches far more real bugs than a loosely configured TypeScript setup that only checks syntax. - ### Type-safe API and database layers Zod or similar runtime validators paired with static types so the shapes checked at compile time are also enforced at runtime, at the boundary where external data enters the system. - ### Large-scale refactor safety Renaming a field, changing a function signature or restructuring a module, with the compiler listing every call site that needs to update instead of relying on manual search and testing. - ### Monorepo type sharing Shared type packages consumed across multiple applications in a monorepo (web app, admin panel, mobile app) so a domain model changes in one place. Ecosystem ## Libraries and tools we pair it with - Zod for runtime validation that mirrors static types - tRPC for end-to-end typed APIs without a separate schema language - Prisma or Drizzle for typed database queries generated from the schema - TypeScript ESLint for enforcing type-aware lint rules - Turborepo or Nx for managing shared types across a monorepo - ts-reset or type-fest for filling gaps in the standard library's types ## Migrating an existing JavaScript codebase A full-codebase rewrite to TypeScript is rarely the right move; TypeScript supports incremental adoption because it can type-check a mix of .ts and .js files in the same project. We typically start by enabling \`allowJs\` and \`checkJs\`, adding types to the modules with the most bugs or the most churn first, and letting the rest of the codebase convert opportunistically as files are touched for other reasons. The modules worth converting first are usually the ones defining shared data shapes: API clients, core domain models, utility functions used everywhere. Converting those early gives the rest of the migration a typed foundation to build on, rather than typing UI components first and hitting untyped data flowing in from everywhere. ## Where strict typing helps less than expected Type safety at compile time does not replace runtime validation at the edges of a system. Data from an external API, user input, or a third-party webhook has a shape the compiler cannot verify, because the compiler only checks the code you wrote, not the data arriving from outside it. A common failure mode is a team trusting a TypeScript interface for a shape that was never actually validated at runtime, and getting a production crash when the external service sends something slightly different than expected. We pair static types with Zod schemas at every external boundary specifically to close that gap: the schema validates the data is what it claims to be, and infers the TypeScript type from the same definition, so there is one source of truth instead of two that can drift apart. - Static types cover code you control; runtime validation covers data you do not - Zod schemas at API boundaries generate the TypeScript type, removing duplication - A typed interface with no runtime check is a promise the compiler cannot enforce Services ## Services that use TypeScript - [Frontend DevelopmentWe build and maintain the browser layer of your product, covering component systems, performance, accessibility and migrations off frameworks you have outgrown.](https://arbocode.com/services/frontend-development) - [Backend DevelopmentWe build the server-side systems beneath your product, including data models, business logic, queues and the infrastructure that keeps them fast under load.](https://arbocode.com/services/backend-development) - [Web Application DevelopmentWe build the logged-in side of your product, including dashboards, portals and workflow tools that handle real data volume, permissions and concurrent users.](https://arbocode.com/services/web-application-development) - [API DevelopmentWe design, build, document and version REST and GraphQL APIs so partners can integrate without asking your engineers for help.](https://arbocode.com/services/api-development) - [Custom Software DevelopmentWe build software around the processes your business already runs on, so operations no longer depend on spreadsheets, workarounds and tools never built for your workflow.](https://arbocode.com/services/custom-software-development) Industries ## Where we use it - [Fintech & BankingFinancial software with KYC/AML checks and PCI DSS-aligned payment flows designed in from the schema onward, with ledgers that reconcile to the cent.](https://arbocode.com/industries/fintech) - [HealthcareClinical and patient-facing software that meets HIPAA technical safeguards and connects to the EHR your care teams already work in.](https://arbocode.com/industries/healthcare) - [Professional ServicesEngagement management, time tracking and client portals designed around how consulting and advisory firms bill for their time.](https://arbocode.com/industries/professional-services) FAQ ## Questions about TypeScript Does adding TypeScript slow down initial development? Slightly, in the first few weeks while a team gets used to writing type annotations and reading compiler errors. Past that point it usually speeds development up, because the compiler catches mistakes immediately instead of a developer discovering them later through manual testing or a bug report. Can we migrate an existing JavaScript codebase incrementally? Yes, TypeScript is designed for incremental adoption and can type-check a mix of JavaScript and TypeScript files in the same project. We usually convert shared data models and API clients first, then let the rest convert as files are touched for other feature work rather than as a dedicated rewrite. Is TypeScript only useful for large teams? It helps most visibly on larger teams and longer-lived codebases, but a solo developer benefits too, mainly during refactors and when returning to code written months earlier. The main case where it adds little value is a short-lived script that will be deleted within days. How do you keep frontend and backend types in sync? On projects where we control both sides, we define request and response types once in a shared package and import them on both the API and the client, so a contract change that breaks the other side fails the build immediately. Where the backend is external, we generate types from its OpenAPI schema instead. Does TypeScript catch bugs from bad data, not just bad code? Not on its own. Static types check the code you wrote against itself; they cannot verify that data arriving from an external API or user input actually matches the shape you declared. We pair TypeScript with runtime validation (Zod) at every external boundary specifically to cover that gap. Compare ## Alternatives we also work with - [Go (Golang)A deliberately small language for services that need speed, concurrency and easy operation.](https://arbocode.com/technologies/golang) - [Java & Spring BootA deliberately verbose language that keeps a system readable for the next team after the first one moves on.](https://arbocode.com/technologies/java) - [.NETA statically typed platform with long-term support, suited to backends that must keep running correctly for a decade.](https://arbocode.com/technologies/dotnet) Insights ## Guides on this topic - [7 min readReact vs Next.js for Your Web ProjectReact vs Next.js compared on rendering, routing, SEO and hosting, with clear advice on when a plain React SPA fits better than a Next.js build.](https://arbocode.com/blog/react-vs-nextjs) - [6 min readWhat Custom CRM Development Cost Looks LikeCustom CRM development cost starts near $40,000 for a focused pipeline tool and reaches $250,000+ for a multi-team platform with automation and reporting.](https://arbocode.com/blog/crm-development-cost) - [7 min readCustom Development vs No-Code ComparedCustom development vs no-code tools, compared on build speed, cost at scale, and where each approach holds up as your workflows grow more complex.](https://arbocode.com/blog/custom-development-vs-no-code) ## Talk to a TypeScript developer Send a short description of the project. A senior engineer reads each request and answers with questions, next steps and an early budget range. [Get a free estimate](https://arbocode.com/get-a-quote) [Speak with an engineer](https://arbocode.com/contact)