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Type-Driven Design: The 'Parse, Don't Validate' Approach to Programming

By

shirian

3mo ago· 20 min readenInsight

Summary

The article explores type-driven design in programming, contrasting the 'parse, don't validate' approach with traditional validation methods. It argues that parsing transforms unstructured data into structured types early in the process, creating a 'validated by construction' system that eliminates runtime errors and provides better type safety. The author uses JSON parsing examples to illustrate how this approach leads to more robust, maintainable code by leveraging the type system to enforce correctness at compile time rather than runtime.

Key quotes

· 5 pulled
Historically, I've struggled to find a concise, simple way to explain what it means to practice type-driven design.
The key insight is that parsing transforms unstructured data into structured types, while validation merely checks if data meets certain criteria.
When you parse, you're building a validated-by-construction representation of your data, which eliminates entire classes of runtime errors.
This approach leverages the type system to enforce correctness at compile time rather than discovering errors at runtime.
The 'parse, don't validate' philosophy creates more robust, maintainable code by making invalid states unrepresentable in the type system.
Snippet from the RSS feed
Historically, I’ve struggled to find a concise, simple way to explain what it means to practice type-driven design. Too often, when someone asks me “How did you come up with this approach?” I find I can’t give them a satisfying answer. I know it didn’t ju

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