Technology · TypeScript

TypeScript safety,
built in from day one.

Typed JavaScript that catches whole categories of bugs during development instead of in front of users.

See TypeScript by the numbers
Microsoft

created and maintains it

Superset

of standard JavaScript

Compile-time

error catching

#3

most loved language (SO survey)

TypeScript logo
Errors caught before coffee. The compiler reads your code so reviewers do not have to.

Why TypeScript

Types are
documentation that cannot lie.

Comments drift; types compile. On any codebase older than three months, TypeScript pays for itself every time someone renames a field safely or an editor autocompletes an API response correctly. We adopt it by default on new work.

  • Self-documenting code
  • Refactor with confidence
  • Editor superpowers
  • API contracts enforced
  • Fewer runtime surprises
  • Team-scale consistency

What we build

Six ways we build
with TypeScript.

Each engagement shaped around your goals rather than a fixed package.

01

TS application builds

Full products written typed end to end, frontend to backend.

Greenfield
02

Gradual migrations

Existing JS codebases converted file by file, always shippable.

Migration
03

Shared type packages

One source of truth for API shapes across apps.

Monorepo
04

Strict mode adoption

Any-typed codebases tightened without big-bang rewrites.

Hardening
05

Team enablement

Practical TS training aimed at your actual codebase patterns.

Training
06

CI type gates

Pipelines that refuse to merge type regressions.

Automation

How we use it

Types where they pay,
nowhere ceremonial.

We type the boundaries hardest, API responses, config, shared models, because that is where runtime surprises originate. Internal plumbing stays pragmatic. Strict flags tuned per repo, never cargo-culted.

Validated inputsSchemas parsed at the edges.
Inferred internalsAnnotations only where useful.
Exhaustive unionsImpossible states unrepresentable.
CI enforcementType checks gate every merge.

The ecosystem

Tooling built
around the compiler.

TypeScript pairs with the rest of the modern stack almost by default now.

tsconfig strict Zod tRPC Prisma tsx runner ESLint typed rules ts-morph dtslint pnpm workspaces GitHub Actions

Our process

Contracts first,
features flow after.

Defining data shapes early makes parallel work safe across developers.

01

Model contracts

Domain entities and API payloads typed before screens exist.

Step 01
02

Set compiler policy

Strictness level agreed so quality stays uniform.

Step 02
03

Build against types

Features implemented with editor-level verification throughout.

Step 03
04

Gate & review

Type coverage reported; regressions block release.

Step 04

Code health

Any is
a decision, not an accident.

Type systems rot when escapes accumulate; audits keep them honest.

Escape auditing

As-casts reviewed like security holes.

Coverage reports

Untracked files surfaced each sprint.

Boundary validation

External data parsed, never trusted.

FAQ

Common questions.

Is TypeScript worth it on small projects?

Below a few thousand lines, often marginal. Beyond that, consistently yes.

Can existing JavaScript move to TS?

Incrementally. allowJs lets both coexist while high-risk files convert first.

Does it slow development down?

Briefly, then reverses course: most teams ship faster once refactors stop being terrifying.

React + TypeScript, worth the setup?

Standard practice now; props and hooks benefit immediately.

Who maintains the type definitions?

We do, alongside features. Types live beside the code they describe.

Will our team cope with strict mode?

With a migration plan and pairing sessions, teams adjust within weeks, not months.

Let's talk

Want your codebase
typed properly?

We will assess your current JS and quote a staged migration with zero downtime.

Email us