ReasonML JSON Decoding with Decco

Handling raw JSON in strongly-typed environments can often lead to verbose, repetitive, and error-prone boilerplate code. This text-based course shows you how to streamline your data serialization workflows in ReasonML by leveraging the power of Decco. You will transition from writing manual, low-level decoding functions to generating clean, type-safe decoders and encoders automatically. What you'll learn: Understand core JSON serialization concepts and ReasonML type safety; Configure Decco attributes on your custom records and variant types; Generate automatic decoders and encoders with minimal boilerplate; Handle complex nested JSON structures and optional fields safely; Manage runtime decoding errors and debug data mismatches; Apply modern ReasonML development workflows for robust type-safe applications. This course begins with foundational JSON and type-system concepts before guiding you step-by-step through configuration, generation, and advanced nested data structures. It is designed for developers who already have a basic grasp of ReasonML syntax and want to master modern, elegant data-handling patterns. Start reading today to write cleaner, safer, and more maintainable ReasonML applications.