Effect Testing Runtime

Effect Testing And Runtime

Use this skill for testing Effect programs and deciding where effects are run.

Use the bun-test skill for Bun test runner APIs and the testing-patterns skill for repo-level test placement.

Runtime Boundary

• Run effects at process, test, or script edges.
• Do not call Effect.runPromise or Effect.runSync inside services or domain functions.
• In tests, build the program, provide test layers, then run it at the test boundary.

import { Effect } from "effect"
import { expect, test } from "bun:test"

test("returns user", async () => {
  const result = await Effect.runPromise(
    Users.find("user-1").pipe(Effect.provide(UsersTestLive)),
  )

  expect(result.id).toBe("user-1")
})

Test Services

• Prefer test layers and fake services over global mutation.
• Use deterministic services for time, randomness, IDs, storage, language models, and config.
• Use ConfigProvider when config should come from a map/object rather than the process environment.
• Keep typed expected failures in the error channel when that is the contract being tested.
• Test defects separately from expected domain failures.

Concurrent And Streaming Tests

• For streams, test completion semantics as well as emitted values.
• For background fibers, test interruption or shutdown behavior.
• Do not hide timing problems with sleeps; use deterministic signals such as Deferred, queue events, or test clocks when available.
• When testing time-based behavior, verify local Effect test-clock APIs before using them.

Checks

• Is the effect run only at the test boundary?
• Are all required services provided intentionally?
• Does the test assert typed failures rather than stringified defects?
• Does the test prove shutdown/completion for fibers, queues, and streams?
• Should the package-local test run be enough, or did public signatures require root typecheck?

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: theseus-run
• Source: theseus-run/theseus
• License: MIT
• Homepage: https://www.theseus.run

Install and usage instructions live in the source repository linked above.