tRPC: End-to-End Type Safety Without the GraphQL Complexity

tRPC: End-to-End Type Safety Without the GraphQL Complexity By Wilson Xu Target: Smashing Magazine / LogRocket / Honeybadger (~2,800 words) Introduction There is a particular kind of pain that every TypeScript developer knows. You carefully type your backend response — every field, every nested object, every nullable edge case. Then you call the API from your frontend, and suddenly you're back in the land of any . Your carefully crafted types stop at the HTTP boundary. Welcome to type drift. The traditional solutions are unsatisfying. REST APIs require manual synchronization between server and client types, usually via OpenAPI specs or hand-written shared type packages. GraphQL solves the schema problem elegantly but introduces a whole ecosystem of complexity: schema definitions, resolvers, codegen pipelines, and a runtime query language to learn and maintain. tRPC takes a different approach. It says: if your frontend and backend are both TypeScript (which they increasingly are in Next