axiom-testing-async▌
charleswiltgen/axiom · updated Apr 8, 2026
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Modern patterns for testing async/await code with Swift Testing framework.
Testing Async Code — Swift Testing Patterns
Modern patterns for testing async/await code with Swift Testing framework.
When to Use
✅ Use when:
- Writing tests for async functions
- Testing callback-based APIs with Swift Testing
- Migrating async XCTests to Swift Testing
- Testing MainActor-isolated code
- Need to verify events fire expected number of times
❌ Don't use when:
- XCTest-only project (use XCTestExpectation)
- UI automation tests (use XCUITest)
- Performance testing with metrics (use XCTest)
Key Differences from XCTest
| XCTest | Swift Testing |
|---|---|
XCTestExpectation |
confirmation { } |
wait(for:timeout:) |
await confirmation |
@MainActor implicit |
@MainActor explicit |
| Serial by default | Parallel by default |
XCTAssertEqual() |
#expect() |
continueAfterFailure |
#require per-expectation |
Patterns
Pattern 1: Simple Async Function
@Test func fetchUser() async throws {
let user = try await api.fetchUser(id: 1)
#expect(user.name == "Alice")
}
Pattern 2: Completion Handler → Continuation
For APIs without async overloads:
@Test func legacyAPI() async throws {
let result = try await withCheckedThrowingContinuation { continuation in
legacyFetch { result, error in
if let result {
continuation.resume(returning: result)
} else {
continuation.resume(throwing: error!)
}
}
}
#expect(result.isValid)
}
Pattern 3: Single Callback with confirmation
When a callback should fire exactly once:
@Test func notificationFires() async {
await confirmation { confirm in
NotificationCenter.default.addObserver(
forName: .didUpdate,
object: nil,
queue: .main
) { _ in
confirm() // Must be called exactly once
}
triggerUpdate()
}
}
Pattern 4: Multiple Callbacks with expectedCount
@Test func delegateCalledMultipleTimes() async {
await confirmation(expectedCount: 3) { confirm in
delegate.onProgress = { progress in
confirm() // Called 3 times
}
startDownload() // Triggers 3 progress updates
}
}
Pattern 5: Verify Callback Never Fires
@Test func noErrorCallback() async {
await confirmation(expectedCount: 0) { confirm in
delegate.onError = { _ in
confirm() // Should never be called
}
performSuccessfulOperation()
}
}
Pattern 6: MainActor Tests
@Test @MainActor func viewModelUpdates() async {
let vm = ViewModel()
await vm.load()
#expect(vm.items.count > 0)
#expect(vm.isLoading == false)
}
Pattern 7: Timeout Control
@Test(.timeLimit(.seconds(5)))
func slowOperation() async throws {
try await longRunningTask()
}
Pattern 8: Testing Throws
@Test func invalidInputThrows() async throws {
await #expect(throws: ValidationError.self) {
try await validate(input: "")
}
}
// Specific error
@Test func specificError() async throws {
await #expect(throws: NetworkError.notFound) {
try await api.fetch(id: -1)
}
}
Pattern 9: Optional Unwrapping with #require
@Test func firstVideo() async throws {
let videos = try await videoLibrary.videos()
let first = try #require(videos.first) // Fails if nil
#expect(first.duration > 0)
}
Pattern 10: Parameterized Async Tests
@Test("Video loading", arguments: [
"Beach.mov",
"Mountain.mov",
"City.mov"
])
func loadVideo(fileName: String) async throws {
let video = try await Video.load(fileName)
#expect(video.isPlayable)
}
Arguments run in parallel automatically.
Parallel Test Execution
Swift Testing runs tests in parallel by default (unlike XCTest).
Handling Shared State
// ❌ Shared mutable state — race condition
var sharedCounter = 0
@Test func test1() async {
sharedCounter += 1 // Data race!
}
@Test func test2() async {
sharedCounter += 1 // Data race!
}
// ✅ Each test gets fresh instance
struct CounterTests {
var counter = Counter() // Fresh per test
@Test func increment() {
counter.incrementhow to use axiom-testing-asyncHow to use axiom-testing-async on Cursor
AI-first code editor with Composer
1Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add axiom-testing-async
2Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/charleswiltgen/axiom --skill axiom-testing-asyncThe skills CLI fetches axiom-testing-async from GitHub repository charleswiltgen/axiom and configures it for Cursor.
3Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
◆ Which agents do you want to install to?││ ── Universal (.agents/skills) ── always included ────│ • Amp│ • Antigravity│ • Cline│ • Codex│ ●Cursor(selected)│ • Cursor│ • Windsurf4Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/axiom-testing-asyncReload or restart Cursor to activate axiom-testing-async. Access the skill through slash commands (e.g., /axiom-testing-async) or your agent's skill management interface.
⚠Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
Additional Resources
List & Monetize Your Skill
Submit your Claude Code skill and start earning
GET_STARTED →Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
✓Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
✓Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
✓Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
general reviewsRatings
4.5★★★★★66 reviews- ★★★★★Ren Malhotra· Dec 28, 2024
axiom-testing-async fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Aarav Ramirez· Dec 20, 2024
axiom-testing-async reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Advait Khan· Dec 12, 2024
Solid pick for teams standardizing on skills: axiom-testing-async is focused, and the summary matches what you get after install.
- ★★★★★Advait Garcia· Dec 8, 2024
axiom-testing-async has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chaitanya Patil· Dec 4, 2024
axiom-testing-async reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Noah Johnson· Dec 4, 2024
axiom-testing-async has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Advait Smith· Nov 27, 2024
axiom-testing-async is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Sophia Wang· Nov 27, 2024
axiom-testing-async fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Piyush G· Nov 23, 2024
I recommend axiom-testing-async for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Ren Zhang· Nov 23, 2024
axiom-testing-async fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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