TypeScript development
Types that catch a whole class of bug before the code runs, and make a large codebase safe to change.
Typed JavaScript
Chosen per project
Maintainable handover
TypeScript’s value shows up on the second year of a project rather than the first week. When a data shape changes, the compiler lists every place that has to change with it — instead of that list arriving from users, one bug at a time.
It is also documentation that cannot go stale. A function signature states exactly what it accepts and returns, and stays correct because the build fails when it is not.
What we build with TypeScript
Applications expected to be maintained for years
Codebases worked on by more than one or two developers
Shared types between a front end and its API
Refactoring a large JavaScript codebase safely
Where it fits — and where it does not
Good fit when
The project will grow and be refactored
Several developers touch the same code
Front end and back end can share type definitions
Editor autocomplete meaningfully speeds the team up
Consider something else when
Throwaway prototypes and one-off scripts
Very small sites with a handful of interactions
Teams with no appetite for a build step
Types move failure earlier
The same mistake costs progressively more the later it is found. Typing moves a large share of it to the first stage, where it is cheapest.
In the editor
Flagged as it is typed — seconds to fix.
At compile
Build fails before anything ships.
In tests
Caught by the suite — minutes.
In review
Caught by a colleague — hours.
In production
Caught by a customer — the expensive one.
How we work with TypeScript
Strict from the start
Strict mode enabled on day one — retrofitting it later is far more work than living with it.
Types at the boundary
External data validated at runtime where it enters, so the type system is not merely trusting the network.
Shared contracts
API types defined once and consumed by both ends, so a change on the server surfaces in the client build.
Pragmatic escape hatches
A narrow, commented `any` beats an unreadable generic — used deliberately, not by accident.
Our typical TypeScript setup
| Concern | What we use |
|---|---|
| Configuration | strict mode, noUncheckedIndexedAccess, no implicit any |
| Runtime validation | Schema validation at every external boundary |
| Shared types | A common package consumed by client and server |
| Build | Vite, esbuild or tsc depending on the target |
| Linting | ESLint with the TypeScript plugin in the pipeline |
Frequently asked questions
Yes, and that is the sensible route. TypeScript runs alongside JavaScript, so files can be converted a few at a time with strictness raised as coverage grows. A big-bang conversion is rarely worth the disruption.
Slightly at the start, then it pays back. The cost is writing types; the return is refactoring without fear and an editor that knows what your code does.
No, and this is a common misunderstanding. Types are erased at runtime — an API can still return something unexpected. That is why we validate external data at the boundary as well as typing it.
Topics people search for
Services built with TypeScript
Web Application Development
Applications that run in the browser, handle real workloads and hold up when several departments depend on them at once.
SaaS Development
Building a software product means building a business system around it too — tenancy, billing, onboarding and support tooling.
Custom Software Development
Software shaped around the way your business already works, instead of a packaged product you have to reorganise around.
Tell us what you are trying to build
Describe the problem in plain language and we will tell you what it would take to solve it — the approach, the moving parts and the sensible order to build them in. No obligation either way.