What is TypeScript development?
TypeScript development is writing software in TypeScript, a version of JavaScript that adds types: a description of what shape each piece of data should have. The compiler checks the code against those types before it runs, so many errors are caught while the code is being written rather than by users.
Its value shows up over time. In a system with dozens of screens and services, a renamed field or a changed API response is flagged everywhere it matters. When the same types are shared between the backend and the interface, the two cannot quietly drift apart. That is why we write almost all our React, Next.js and Node.js work in TypeScript.
TypeScript does not replace tests or a clear process. It makes code easier to read and change, which matters most for systems that will outlive the first build and be handed to another team.
- How often does a small change break something unrelated?
- Could a new developer change the code safely in their first week?
- Do the API and the interface ever disagree about a field?
How a TypeScript build or migration runs
For migrations, the existing system keeps running and shipping while it is converted.
1. Review
We read the codebase or the plan, find where errors and slowdowns come from, and agree what matters most.
2. Plan
Structure, shared types, migration order, timeline and cost, approved by you before work starts.
3. Build in short cycles
Working features or converted modules every cycle, with type checks and tests running on each change.
4. Run in parallel
Converted parts run alongside the old code until behaviour is confirmed to match.
5. Hand over
Documentation, walkthroughs with your developers and a named support contact.
6. Support and improve
We stay available for reviews, harder changes and the next phase of work.
Why codebases get harder to change
Systems rarely fail on day one. They slow down as every change gets riskier.
Errors found by users
A missing field or wrong data type only shows up when someone hits that screen in production.
API and UI drift apart
The backend changes a response, the frontend is not updated, and the mismatch is found weeks later.
Refactoring feels unsafe
Nobody is sure what a change will break, so old code is left alone and workarounds pile up.
Types switched off
TypeScript is adopted but strict mode is off and 'any' is everywhere, so it gives little protection.
Knowledge in people's heads
The shape of the data is documented nowhere, so only the original developer understands it.
Painful hand-overs
The client's own team inherits a codebase they cannot change without the original vendor.
What we build with TypeScript
TypeScript runs through the whole system, so the data has one definition from database to screen.
- 01
Full-stack TypeScript systems
React or Next.js interfaces and Node.js services written in one language by one team.
- 02
Shared types between API and UI
One definition of each record, used by the database layer, the API and the screens, using Prisma, Zod, tRPC or OpenAPI.
- 03
JavaScript to TypeScript migration
Converting an existing codebase file by file, tightening checks as we go, without stopping feature work.
- 04
Validated inputs
Data checked at the edges with Zod, so bad input from forms, partners or webhooks is rejected with a clear error.
- 05
Shared libraries and SDKs
Typed client libraries for your API, so partners and your own apps integrate with fewer mistakes.
- 06
Hand-over-ready codebases
Strict settings, clear structure, tests and documentation, so your team can take over with confidence.
TypeScript practice, and what it gives your team
| Practice | What it gives your team |
|---|---|
| Strict mode from the first commit | Fewer runtime errors and less guesswork about what data can be |
| Types shared between API and UI | A change on one side is flagged on the other before release |
| Validation at every boundary | Bad data from forms or partners is caught at the door, with a clear message |
| Typed database access | Queries match the real schema, and migrations show what they affect |
| Linting and type checks in CI | Problems are caught on every pull request, not after deployment |
| Documented types and structure | New developers understand the data model without reverse-engineering it |
Ways to work with us
Pick the model that matches where your codebase is today.
| Model | Best when | How it is priced |
|---|---|---|
| Bottleneck review | Changes keep breaking things or a migration has stalled | Fixed fee for a short, defined engagement |
| Defined build | A new system or a scoped migration is agreed | Fixed scope, paid against agreed milestones |
| Managed team | You need a TypeScript team for a set project and period | Monthly, based on the team composition you need |
We quote after the first conversation, once we know the scope. Every system is handed over with documentation and a named support contact.
Our TypeScript toolkit
Core
- TypeScript
- React
- Next.js
- Node.js
- NestJS
Types across the stack
- Zod
- tRPC
- Prisma
- OpenAPI
- GraphQL Codegen
Quality
- ESLint
- Prettier
- Strict mode
- Vitest
- Jest
- Playwright
Delivery
- GitHub Actions
- GitLab CI
- Docker
- Vercel
- AWS
A 50+ module system built on one JavaScript stack
A hospital management system for a psychiatric and mental healthcare practice, built with React, Node.js and PostgreSQL in three months.
Hospital OS: Inpatient, Pharmacy & Laboratory
Admissions, beds, ward rounds, dispensing and lab results, all moving on the same patient record.
- 1
- Record from admission to discharge
- 50+
- Modules in the full system
- 100%
- Workflow digitised
Where to go next
Full Stack Development
Full stack development with one team owning frontend, backend, data, integrations and deployment, in React, Next.js, Node.js, Python and PostgreSQL.
Learn moreApplication Modernization
Application modernisation for systems that no longer fit: a staged move off old software, data migrated and checked, and both running until staff trust the new one.
Learn moreNode JS
Node.js backends and APIs with Express, NestJS and Fastify: REST, GraphQL, live status over WebSockets, queues for reminders, integrations and webhooks.
Learn more
Frequently asked questions
Usually, yes. The cost is small and it pays back the first time the code changes. For a short-lived script, plain JavaScript can be fine.
Yes, gradually. TypeScript and JavaScript can run side by side, so we convert file by file while features keep shipping.
Slightly at the start. It saves far more time later, when changes are checked automatically instead of tested by hand.
Through a shared package, typed API clients generated from OpenAPI or GraphQL, or tRPC when both sides are ours.
No. Types catch shape errors. Tests check behaviour. We use both.
That is the goal. Every system is handed over with documentation, walkthroughs and a named support contact.
Bring us your bottleneck.
If a process in your organisation depends on one person remembering to follow up, describe it to us. You will get a straight answer on whether it needs automation, software, a team, or none of these.
Or write directly to support@algonsolutions.com