![]() ![]() Well, runtime checks help with getting correctly validated data on the server side. You might be asking yourself, why would someone need a runtime check in the first place? Having a robust schema validation can not only improve performance but you are likely less prone to errors while building production-ready large-scale applications. ![]() It helps identify quality issues earlier in your codebase and prevents errors that arise from incomplete or incorrect data types. Schema validation provides assurance that data is strictly similar to a set of patterns, structures, and data types you have provided. In this article, you will learn about schema design and validation in Zod and how to run it in a TypeScript codebase at runtime:īefore we even begin to understand how Zod works, it’s important to know why we need schema validation in the first place. Although TypeScript looks great in all aspects, it has a blind spot - it only does static type checking at compile time and doesn’t have any runtime checks at all. TypeScript not only helps with static type checking, but also has added a set of object-oriented programming (OOP) concepts such as generics, modules, classes, interfaces, and more.Īrguably, going back to a JavaScript-only codebase can be difficult if you have worked with TypeScript. TypeScript is awesome! It has improved developer productivity and tooling over recent years. Schema validation in TypeScript with ZodĮditor’s note: This article was last updated on 8 March 2023 to add a section about adding a custom validation with Zod. ![]() Abhinav Anshul Follow Doing interesting things on the Web. ![]()
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