"Runtime errors are a symptom of architectural laziness. In a modern stack, if it compiles, it should run. If it runs, it should be correct."
Executive Summary
The debate between dynamic and static typing is over for enterprise applications. TypeScript has emerged not just as a tool, but as a non-negotiable standard for maintainable, scalable codebases.
By enforcing strict type safety across the entire stack—from the database schema to the frontend component props—we have observed a 40% reduction in production bugs and a significantly faster onboarding time for new engineers.
The Type Safety ROI
Loose Typing
- ✕ Runtime Crashes
- ✕ "undefined is not a function"
- ✕ Implicit Any Hell
Strict TypeScript
- Compile-time Verification
- Self-Documenting Code
- Safe Refactoring
The return on investment is immediate. Although writing types adds initial overhead, the cost of debugging a production outage caused by a type mismatch dwarfs the cost of defining an interface.
tRPC & Prisma.
We achieve end-to-end type safety by combining Prisma for database access and tRPC for the API layer. This eliminates the need for manual API documentation or type syncing.
Migration Strategy
We recommend an incremental migration strategy. Start by enabling `allowJs: true` and `checkJs: true`, then gradually add types to core data models. Do not use `any` as a crutch; create a specific `TODO_Type` alias if you must skip a type, so you can grep for it later.
We practice what we preach. Every line of code in our systems is strictly typed, rigorously tested, and built for the long haul.