Domain modelling
Represent meaningful states and identifiers so invalid combinations become harder to express.
Type-safe product development
TypeScript Software Engineering.
TypeScript creates leverage when types express domain truth and boundaries, not when annotations merely repeat obvious implementation details.
How we use it
We use TypeScript to make data shapes, permitted states, service contracts, and refactoring consequences visible before runtime. Runtime validation remains essential wherever information crosses a trust boundary.
Architecture decisions
The questions that shape the implementation
Trust boundaries
Validate external input at runtime instead of assuming a compile-time type makes data safe.
Contract ownership
Choose how API, event, and database contracts are generated, versioned, and reviewed.
Strictness
Use strict compiler settings and address uncertainty deliberately rather than hiding it with broad casts.
Engineering practice
What disciplined use looks like
Strict compiler configuration
Runtime schemas at external boundaries
Discriminated unions for workflow states
Typed API and event contracts
Branded identifiers where confusion is costly
Incremental type-safe migrations
Failure modes
What we actively design against
Using any to bypass design problems
Confusing type safety with input validation
Generating contracts without ownership
Overly clever generic abstractions
Appropriate use cases
Full-stack web products
Shared API contracts
Workflow engines
Financial and operational systems
Reusable component libraries
Large codebase modernization
Technical questions
Does TypeScript prevent runtime errors?
It prevents many classes of development-time mistakes, but runtime data, network failures, permissions, and business concurrency still require explicit handling.
Can TypeScript be introduced gradually?
Yes. A staged migration can prioritize public contracts, high-change modules, and risky domain logic while keeping delivery moving.
Related expertise