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World Congress 2023 • Oct 23, 2023

tRPC: API schemas are pure overhead

Giorgio Boa

API schemas and code-generation pipelines are pure overhead. Discover how tRPC uses native TypeScript inference to deliver instant, end-to-end type safety from your database to your UI.

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#1 about 4 min

Schema fatigue in OpenAPI and GraphQL specifications

Working with strict schemas requires learning new declarative languages and running extra code generation steps.

#2 about 3 min

Introduction to tRPC and TypeScript type inference

Extracting object shapes using TypeScript typeof enables sharing data between client and server without explicit schemas.

#3 about 7 min

Live coding a Next.js application with tRPC

Configuring a shared app router allows backend method changes to instantly surface as frontend build errors.

#4 about 7 min

Debugging tRPC network requests and server execution

Inspecting HTTP payloads and placing breakpoints uncovers how client browser fetches execute server-side business logic.

#5 about 6 min

Evaluating tRPC tradeoffs and real-world implementation

While tRPC provides seamless integration for full-stack TypeScript codebases, sharing public APIs requires custom middleware integrations.

#6 about 4 min

Handling multi-repository setups and heterogeneous ecosystems

Sharing type definitions across separate repositories involves compiling an npm package to maintain strict API contracts.

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