Code Style

Refactor if/else chains to pattern matching in Effect-TS by replacing conditional logic with Match.value-based decision trees and Schema.is() guards. This enforces exhaustive, self-describing control flow and eliminates imperative branching patterns across your codebase.

Enforce functional programming in Effect-TS projects by using built-in Array, Record, Struct, and Tuple modules instead of loops and mutations. This Skill guides developers to replace imperative patterns with functional utilities and pipe-based pipelines for consistent code.

Schema-first data modeling in Effect-TS uses tagged unions and Schema.is() to enable runtime validation and exhaustive control flow. Use it to encode domain data with Schemas, ensuring self-describing types and consistent domain modeling across your project.

This Effect-TS code style approach requires no external tooling or dependencies. It relies entirely on built-in Effect-TS modules including Schema, Match, Array, Record, Struct, and Tuple to enforce functional programming and pattern matching conventions.

The best way to structure Effect-TS codebases is to follow project-structure and pipeline guidelines that enforce consistent conventions. This includes using dual API patterns, generator syntax recommendations, and pipe-based pipelines to improve readability and maintainability across teams.