effect-ts-patterns

Building a Hono API with Effect-TS involves using Data.TaggedError for typed errors and Context for dependency injection. This pattern translates runtime failures into predictable HTTP responses while enforcing schema validation on inputs.

Dependency injection in Effect-TS uses Context and Layer to compose service layers. This isolates business logic from infrastructure in Hono APIs, allowing you to swap implementations and map service failures to HTTP errors reliably.

Effect Schema validates Hono API request inputs at runtime by parsing unknown data into typed objects. Integrating it within Effect.gen pipelines ensures invalid payloads fail early with structured errors before reaching your service layer.

Refactoring existing Hono API handlers with Effect-TS patterns replaces untyped try-catch blocks with Data.TaggedError and Effect.pipe. This migration enforces runtime validation and structured error mapping without changing the external HTTP contract.

Effect-TS patterns work with Hono on both Node.js and Cloudflare Workers environments. The framework-agnostic Context and Layer abstractions ensure your API handlers and dependency injection remain portable across different serverless runtimes.

Mapping Effect-TS typed errors to HTTP responses ensures Hono APIs return correct status codes for specific Data.TaggedError failures. This prevents unhandled exceptions and provides clients with predictable, schema-validated error payloads.