TypeScript is only valuable when it's used correctly. Most 'TypeScript' codebases aren't.
An overuse of `any`, implicit `unknown` suppression, type assertions on API responses, and missing generic constraints — these are the patterns that turn TypeScript into a false sense of security. A developer who uses TypeScript correctly produces codebases where the type errors are real errors, caught before production. That's the standard we hold to.
You need a developer who uses TypeScript seriously — not just adds .ts file extensions to JavaScript and calls it typed.
The TypeScript code quality spectrum is wide. On one end: any everywhere, API response types that are effectively any typed as Record<string, unknown>, database queries with no type inference, and the // @ts-ignore comments that mute the compiler instead of fixing the underlying type problem. On the other end: full type inference from database schema to API response to frontend component, discriminated unions for state management, generic constraints on API utilities, and strict mode enabled with every compiler error treated as a real error.
The gap between these two poles is the gap between TypeScript as security theatre and TypeScript as a genuine safety net. The practical difference shows up in production: codebases with real TypeScript discipline catch a category of bugs at compile time that TypeScript-in-name-only codebases only catch when users report them.
The specific patterns that indicate real TypeScript discipline: strict mode in tsconfig.json (noImplicitAny, strictNullChecks, strictFunctionTypes); database schema types generated from the actual schema (Drizzle's InferSelectModel, Prisma's generated types) rather than manually maintained; API response types defined as Zod schemas and inferred from the schema (not manually typed); React component props typed with explicit interfaces rather than inferred from defaults; and utility types (Partial, Required, Pick, Omit) used correctly for type transformations rather than type assertions.
A production application with genuine TypeScript discipline — type-safe data fetching, type-safe API contracts, comprehensive type coverage, and a codebase where TypeScript's compiler is a real safety net.
Strict mode configuration
tsconfig.json with strict: true, noUncheckedIndexedAccess, and exactOptionalPropertyTypes. Every compiler error treated as a real error — no suppressions, no `any` escapes.
Type-safe database layer
Drizzle ORM with generated types from the schema definition. Query results typed from the schema — no manual interface maintenance, no type assertions on query results.
Zod for runtime validation
API request and response types defined as Zod schemas and inferred. Runtime validation at API boundaries with type narrowing that the TypeScript compiler understands. Eliminates the class of bugs that comes from API response shapes changing without type updates.
Discriminated unions for state
Loading/success/error states modelled as discriminated unions so the TypeScript compiler enforces that all states are handled before data is accessed. Eliminates null reference errors from unhandled loading states.
Generic utilities for common patterns
Typed API client utilities (typed fetch wrapper with generic response type), typed form utilities (typed useForm with schema inference), and typed context providers (typed React context with discriminated union state).
One honest number to start.
Fixed-scope, fixed-price. The number below is the starting point — final scope is built from your brief.
A production application with genuine TypeScript discipline — type-safe data fetching, type-safe API contracts, comprehensive type coverage, and a codebase where TypeScript's compiler is a real safety net.
Three steps, every time.
The same repeatable engagement on every project. No surprises, no mystery, no billable ambiguity.
Brief & discovery.
We send you questions, then get on a call. Output: a written scope with every step, feature, and integration listed.
Build & ship.
Fixed schedule, weekly reviews. No scope creep unless you change the scope — and if you do, we reprice it transparently.
Warranty & retainer.
30-day warranty on every launch. Most clients stay on a monthly retainer for ongoing features and maintenance.
Why Fixed-Price Matters Here
The TypeScript quality standard is set in the specification and enforced throughout development. Fixed scope, fixed price — delivered at the defined quality standard.
Related engagements.
Questions, answered.
Yes — a codebase review that identifies the specific TypeScript anti-patterns (any usage, missing strict mode flags, untyped API boundaries, manual type assertions) is a common starting engagement before a refactor or extension project. The review typically takes 2–3 days and produces a prioritised list of issues with remediation recommendations.
For codebases that will be maintained and extended over 12+ months: yes, consistently. The overhead of TypeScript is front-loaded (defining types requires more upfront code than vanilla JavaScript). The return is back-loaded (refactoring, extending, and debugging a well-typed codebase is significantly faster than a JavaScript codebase). The break-even is roughly 3 months into a project.
Third-party libraries with published TypeScript declarations (DefinitelyTyped or bundled types) are used directly. For libraries without TypeScript declarations, we write ambient type declarations to provide type safety at the integration boundary. API integrations (REST APIs without TypeScript SDKs) are typed with Zod schemas validated at the API call site.
A production TypeScript web application with full type coverage, strict mode, and type-safe data layer typically runs $25k–$65k. The TypeScript quality standard is the same regardless of price — it's part of the baseline.
8 to 14 weeks depending on application complexity.
Tell Ryel about your project.
Describe what you’re building and what outcome you need. You’ll have a written, fixed-price scope within the week.