swiftui-performance-audit
💡 Summary
A diagnostic skill that audits SwiftUI app performance through code review and guides users to profile with Instruments for issues like slow rendering and high memory usage.
🎯 Target Audience
🤖 AI Roast: “This skill is like a performance mechanic who can diagnose your car's engine from a sound clip, but you still have to get your hands dirty with the actual tools.”
Read-only advisory skill with no execution. Risk: Sensitive data in user-provided code/traces. Mitigation: Sanitize inputs and implement validation in the hosting agent.
name: swiftui-performance-audit description: Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.
SwiftUI Performance Audit
Overview
Audit SwiftUI view performance end-to-end, from instrumentation and baselining to root-cause analysis and concrete remediation steps.
Workflow Decision Tree
- If the user provides code, start with "Code-First Review."
- If the user only describes symptoms, ask for minimal code/context, then do "Code-First Review."
- If code review is inconclusive, go to "Guide the User to Profile" and ask for a trace or screenshots.
1. Code-First Review
Collect:
- Target view/feature code.
- Data flow: state, environment, observable models.
- Symptoms and reproduction steps.
Focus on:
- View invalidation storms from broad state changes.
- Unstable identity in lists (
idchurn,UUID()per render). - Heavy work in
body(formatting, sorting, image decoding). - Layout thrash (deep stacks,
GeometryReader, preference chains). - Large images without downsampling or resizing.
- Over-animated hierarchies (implicit animations on large trees).
Provide:
- Likely root causes with code references.
- Suggested fixes and refactors.
- If needed, a minimal repro or instrumentation suggestion.
2. Guide the User to Profile
Explain how to collect data with Instruments:
- Use the SwiftUI template in Instruments (Release build).
- Reproduce the exact interaction (scroll, navigation, animation).
- Capture SwiftUI timeline and Time Profiler.
- Export or screenshot the relevant lanes and the call tree.
Ask for:
- Trace export or screenshots of SwiftUI lanes + Time Profiler call tree.
- Device/OS/build configuration.
3. Analyze and Diagnose
Prioritize likely SwiftUI culprits:
- View invalidation storms from broad state changes.
- Unstable identity in lists (
idchurn,UUID()per render). - Heavy work in
body(formatting, sorting, image decoding). - Layout thrash (deep stacks,
GeometryReader, preference chains). - Large images without downsampling or resizing.
- Over-animated hierarchies (implicit animations on large trees).
Summarize findings with evidence from traces/logs.
4. Remediate
Apply targeted fixes:
- Narrow state scope (
@State/@Observablecloser to leaf views). - Stabilize identities for
ForEachand lists. - Move heavy work out of
body(precompute, cache,@State). - Use
equatable()or value wrappers for expensive subtrees. - Downsample images before rendering.
- Reduce layout complexity or use fixed sizing where possible.
Common Code Smells (and Fixes)
Look for these patterns during code review.
Expensive formatters in body
var body: some View { let number = NumberFormatter() // slow allocation let measure = MeasurementFormatter() // slow allocation Text(measure.string(from: .init(value: meters, unit: .meters))) }
Prefer cached formatters in a model or a dedicated helper:
final class DistanceFormatter { static let shared = DistanceFormatter() let number = NumberFormatter() let measure = MeasurementFormatter() }
Computed properties that do heavy work
var filtered: [Item] { items.filter { $0.isEnabled } // runs on every body eval }
Prefer precompute or cache on change:
@State private var filtered: [Item] = [] // update filtered when inputs change
Sorting/filtering in body or ForEach
List { ForEach(items.sorted(by: sortRule)) { item in Row(item) } }
Prefer sort once before view updates:
let sortedItems = items.sorted(by: sortRule)
Inline filtering in ForEach
ForEach(items.filter { $0.isEnabled }) { item in Row(item) }
Prefer a prefiltered collection with stable identity.
Unstable identity
ForEach(items, id: \.self) { item in Row(item) }
Avoid id: \.self for non-stable values; use a stable ID.
Image decoding on the main thread
Image(uiImage: UIImage(data: data)!)
Prefer decode/downsample off the main thread and store the result.
Broad dependencies in observable models
@Observable class Model { var items: [Item] = [] } var body: some View { Row(isFavorite: model.items.contains(item)) }
Prefer granular view models or per-item state to reduce update fan-out.
5. Verify
Ask the user to re-run the same capture and compare with baseline metrics. Summarize the delta (CPU, frame drops, memory peak) if provided.
Outputs
Provide:
- A short metrics table (before/after if available).
- Top issues (ordered by impact).
- Proposed fixes with estimated effort.
References
Add Apple documentation and WWDC resources under references/ as they are supplied by the user.
- Optimizing SwiftUI performance with Instruments:
references/optimizing-swiftui-performance-instruments.md - Understanding and improving SwiftUI performance:
references/understanding-improving-swiftui-performance.md - Understanding hangs in your app:
references/understanding-hangs-in-your-app.md - Demystify SwiftUI performance (WWDC23):
references/demystify-swiftui-performance-wwdc23.md
Pros
- Structured, actionable workflow; Concrete code examples and fixes; Guides through profiling when needed.
Cons
- Requires user code/profile data; Reliant on user context quality; Advisory only, no automation.
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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author Dimillian.
