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TypeScript · QalbIT

TypeScript is not the point. The wait is.

We build with TypeScript because most production bugs are typos, mismatched shapes and unchecked null values: a shared type layer catches them at compile time, before a customer does.

Nobody asks for TypeScript by name. They ask why an API field the frontend still expects was renamed weeks ago, or why an optional value crashed a page nobody thought to guard.

Typical before and afterApp type

Typical before and after
What users feelBefore · what we inheritAfter · TypeScript
Time to interactiveHow long before a user can do anything4.2s1.1s74% faster
Page transitionMoving between screens once loaded1.8sInstantNo reload
Form round-tripSubmitting and seeing the result2.4s0.3sOptimistic
Mobile bounce ratePeople who leave before it loads46%19%−27 pts

Medians across codebases we have converted from JavaScript to strict-mode TypeScript · defects caught by the compiler and CI before reaching staging, measured before and after

48h

To a written scope

Week 1

Working prototype

Strict mode

Compiler enforced

100%

Code and IP yours

Strict mode enforced. Shared types across frontend and API. Runtime validation at the boundary. Bugs caught before runtime. Type coverage measured, not claimed

What we build with TypeScript


TypeScript adoption built around catching bugs before they ship.

We help teams use TypeScript for what it actually prevents: the class of bug that only shows up at runtime because plain JavaScript never checked the shape of the data in the first place.

  1. JavaScript-to-TypeScript migrations

    Incremental conversion file by file, with strict mode turned on as coverage grows, never as a single breaking flag day.

  2. Shared types across frontend & API

    One source of truth for a request or response shape, so a backend change fails the frontend build instead of a user’s screen.

  3. Runtime validation at the boundary

    Zod schemas at every external input, so a compile-time type is backed by an actual check at runtime. Before writing the schema, running the raw response through a JSON formatter for seeing the real payload shape beats squinting at a minified blob in devtools.

  4. Type-safe component libraries

    Props, variants and design tokens typed so a missing or misused prop is a build error, not a visual bug in production.

  5. Strict mode & lint rules

    tsconfig and typescript-eslint tuned to the codebase’s actual risk areas, not copied wholesale from a template.

  6. Developer tooling & DX

    Autocomplete, inline documentation and safe refactors that come from types the compiler can actually verify.

The TypeScript layer over the stack that carries it
TypeScript sits at the surface: the stack behind it matters just as much

How TypeScript projects run here


A practical TypeScript process, from audit to enforced strict mode.

We keep the rollout structured but lightweight, so type coverage grows sprint by sprint instead of stalling on a rewrite nobody has time for.

  1. Audit & type coverage

    We read the existing code or requirements, measure current type coverage and any incidents a type would have caught, then plan the rollout.

    Week 1

  2. Shared type & schema design

    API contracts, data models and runtime validation schemas: the decisions that stop a codebase drifting between frontend and backend.

    Week 1–2

  3. Implementation & migration

    Convert files or write new ones under strict mode, replacing `any` and loose casts with real types as we go.

    Sprint by sprint

  4. Testing, hardening & rollout

    A type-checked CI gate, automated tests on critical paths, then a staged rollout of strict mode across the codebase.

    Pre-launch

  5. Ongoing support & features

    A standing team keeps type coverage from regressing as new code and new engineers join the project.

    Post-launch

Where TypeScript earns its keep


TypeScript use cases we most often deliver.

Most of our TypeScript work is on codebases where a runtime bug already cost something: a bad deploy, a support ticket, or a silent data-shape mismatch.

  • API contract enforcement

    Shared types between a Node.js API and its frontend consumers, so a schema change is a build error, not an incident.

  • Legacy JavaScript hardening

    An existing JavaScript codebase converted incrementally, prioritising the modules where bugs actually happen.

  • Type-safe data layers

    Database models, ORMs and query results typed end to end, so a column rename surfaces at compile time.

  • Design system typing

    Component libraries where props, variants and tokens are enforced by the compiler, not a style guide nobody reads.

The stack around TypeScript


The TypeScript stack we typically use at QalbIT.

We pair TypeScript with strict compiler settings, typescript-eslint and runtime validation at the boundary, so the type system is enforced everywhere data enters or leaves the codebase, not only inside it.

  • Core

    • TypeScript 6.x
    • tsc in strict mode
    • typescript-eslint
    • Zod for runtime validation
  • State & data

    • TanStack Query
    • Zustand / Redux Toolkit
    • REST & GraphQL
    • Zod validation
  • Styling & design systems

    • Tailwind CSS
    • Radix UI primitives
    • Storybook
    • Design tokens
  • Quality & observability

    • Vitest / Jest
    • Playwright
    • ESLint & Prettier
    • Sentry

We adapt to what you already run. If your codebase is on a looser tsconfig or a different validation library, we tighten it incrementally rather than rewriting for preference.

TypeScript in production


Where the type system caught the bug first.

Different sectors, same discipline: strict mode enforced, contracts shared between layers, and the client owning the code.

Start here


Hire TypeScript developers who will still be proud of the code in year three.

Share your current codebase, its tsconfig if it has one, and the incidents you are trying to prevent. We will review your requirements, look at any existing code and propose a practical TypeScript adoption plan that matches your stage and risk tolerance.

  • A written scope with the exclusions listed
  • An architecture recommendation for state and components
  • The name of the engineer who would lead it
  • Free, and yours to keep either way

Get your free estimate

Three quick questions: scope, approach and a price range back within 48 hours. No sales call required first.

What do you need built?
When do you want to start?
Where should we send the estimate?

Answer all three questions above, then send.

NDA-friendly · IP yours from day one

FAQs · TypeScript


TypeScript development: frequently asked questions

Common questions about migrating to TypeScript, type safety across the stack and team setup, plus what happens after launch.

Ask us directly →
Mostly product surfaces where a type error caught at compile time is cheaper than a bug shipped to production: SaaS dashboards, multi-tenant front ends, customer portals and the API layer behind them. If two teams keep breaking each other’s code because a field changed shape, TypeScript is usually the right call.
Both. For an existing JavaScript codebase we run an incremental migration: turn on the compiler in a permissive mode, convert file by file starting with the code that changes most, then tighten the strictness once the surface area is covered. The app keeps shipping the whole time.
Next.js and React on the front end, Node.js and NestJS on the back end, with the same types shared across the API boundary through Zod so a change on one side fails the build on the other instead of failing in production.
A focused first release is usually six to ten weeks. A full product with integrations, billing and reporting runs ten to sixteen. You see a clickable prototype in the first two weeks.
Yes. Most clients keep a small standing team for features, dependency upgrades and performance work, with 30 days notice to stop or scale down.
Briefly, while types go in and the team adjusts. After that it is faster, not slower: the compiler catches the class of bug that would otherwise surface as a support ticket, and refactors that would be too risky in plain JavaScript become routine.
Send us the goal and any existing code. You get a written scope, a migration or architecture recommendation and a price range within 48 hours, free, and yours to keep either way.

Next step


Let’s plan your next TypeScript build.

Migration, new build or a strict-mode rollout: send it in two lines and get a written scope, a type-coverage plan and a price range within 48 hours.