Swiftui Performance Audit

SwiftUI Performance Audit

_Attribution: copied from @Dimillian’s Dimillian/Skills (2025-12-31)._

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 (id churn, 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 (id churn, 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/@Observable closer to leaf views).
• -Stabilize identities for ForEach and 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