TypeScript Development That Ships Faster and Breaks Less in Production.

TypeScript catches the class of errors — wrong property access, null reference exceptions, incorrect API response assumptions — that cause production incidents in JavaScript codebases. For D2C brands where a broken checkout or broken fulfilment integration costs thousands of dollars per hour, this matters. TypeScript also makes codebases significantly easier to maintain and hand off — new engineers can understand a typed codebase in hours versus days for untyped JavaScript.

There is a short-term setup cost — configuring tsconfig, adding type annotations, and resolving initial type errors. For greenfield projects, experienced TypeScript engineers typically add 10–15% to initial development time. This is recovered quickly through fewer debugging sessions, faster code review cycles, and significantly lower bug rates in production. On maintenance work, TypeScript saves time substantially — refactoring a typed codebase is far faster and safer than refactoring untyped JavaScript.

We don't recommend enabling strict mode on an existing large codebase all at once — the resulting error volume is demoralising and slows delivery. Instead, we use TypeScript's incremental adoption paths: enabling strict mode in new files and new modules, using // @ts-strict-ignore annotations temporarily while resolving errors, and progressively tightening strictness as modules are touched for feature work. This approach integrates TypeScript improvement into normal development velocity rather than requiring a dedicated migration sprint.

For Shopify apps, our TypeScript patterns cover: typed GraphQL queries using Shopify's generated types from their CLI, Zod schemas for validating webhook payloads and API responses, discriminated unions for modelling Shopify's polymorphic resource types, and branded types for Shopify IDs to prevent mixing GIDs from different resource types. We also use tRPC for internal API routes within Shopify embedded apps, eliminating the API documentation burden entirely.

Yes — we offer TypeScript code review as a service, where our engineers review pull requests and provide detailed feedback on type safety improvements, anti-pattern identification, and idiomatic TypeScript usage. We also run half-day TypeScript workshops tailored to your specific codebase, covering the patterns most relevant to your stack. Teams that go through our review programme typically see significant quality improvements within 6–8 weeks as TypeScript best practices become instinctive.