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DSL Creation and Metaprogramming

DSL Design Principles

article15 minHard

A DSL should make invalid combinations harder to express

A domain-specific language is useful when repeated configuration has a clear vocabulary. Start from the desired call site, define its invariants, and return an ordinary model that the rest of the application can inspect.

data class Plan(val title: String, val topics: List<String>)

class PlanBuilder {
    var title = ""
    private val topics = mutableListOf<String>()
    fun topic(name: String) { require(name.isNotBlank()); topics.add(name) }
    fun build(): Plan {
        require(title.isNotBlank() && topics.isNotEmpty())
        return Plan(title, topics.toList())
    }
}
fun plan(block: PlanBuilder.() -> Unit): Plan = PlanBuilder().apply(block).build()

This separates construction from execution. Builder mutation stays local, and build checks cross-field rules. A DSL that triggers network calls during configuration becomes difficult to validate or replay.

Exercise

Create a plan with two topics and reject an empty plan. Write the same construction using a plain constructor, then decide whether the DSL actually improves the repeated use case.

Check: configuration should not silently create invalid domain objects.

Reference: Type-safe builders

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DSL Design Principles | Kotlin Core Programming | Android Engineers