xcode-compilation-analyzer
avdlee/xcode-build-optimization-agent-skill
Analyze Swift compile hotspots and generate source-level optimization recommendations from build timing data.
What is xcode-compilation-analyzer?
Identifies slow compilation in Swift and mixed-language projects by analyzing build timing summaries and compiler diagnostics. Use when facing slow clean builds, long CompileSwiftSources tasks, type-checking warnings, or expensive incremental rebuilds.
- Parse build timing summaries to rank compilation bottlenecks by wall-clock impact
- Run diagnostic flags (-warn-long-function-bodies, -debug-time-compilation) to surface type-checking hotspots
- Inspect SwiftEmitModule and Planning Swift module times to detect module bloat or macro cascading
- Identify code patterns (missing type annotations, complex expressions, oversized bridging headers) that slow type checking
- Separate code-level fixes from project-level configuration issues
- Rank recommendations by expected build-time reduction, accounting for parallelization effects
How to install xcode-compilation-analyzer
npx skills add https://github.com/avdlee/xcode-build-optimization-agent-skill --skill xcode-compilation-analyzer- Xcode project with Swift code
- Recent build timing summary output or .build-benchmark artifact (optional but recommended)
- Access to run builds with custom compiler flags
How to use xcode-compilation-analyzer
- 1.Gather build timing summary from a clean or incremental build (Xcode build log or xcodebuild output)
- 2.Run the diagnostics script: python3 scripts/diagnose_compilation.py --project App.xcodeproj --scheme MyApp --configuration Debug --threshold 100 --output-dir .build-benchmark
- 3.Review the ranked list of slow functions and expressions in the output
- 4.Inspect the identified source files for patterns: missing type annotations, complex chained expressions, oversized view builders, broad access control
- 5.Generate recommendations ranked by expected wall-clock impact, noting which fixes reduce parallel workload vs. serial bottlenecks
- 6.Present findings with evidence, affected files, confidence level, and approval requirements before applying changes
Use cases
- Developer reports clean build takes 2+ minutes; analyze timing summary to find the slowest compile phases
- Type-checking warnings appear in build logs; run diagnostics to pinpoint expensive functions and expressions
- Incremental build after single-line change takes 30+ seconds; investigate SwiftEmitModule or Planning time to detect module size issues
- Mixed Swift and Objective-C project has slow bridging overhead; inspect bridging headers and generated surfaces
- Team wants to speed up CI build times; identify hotspots and provide ranked source-level optimizations
- iOS/macOS developers optimizing build performance
- Build engineers investigating slow CI pipelines
- Teams with large Swift codebases experiencing type-checking delays
- Projects mixing Swift and Objective-C with bridging overhead
xcode-compilation-analyzer FAQ
If compile tasks run in parallel and their sum far exceeds wall-clock time, fixing individual hotspots reduces total compiler work but may not reduce your actual build wait time. The skill labels these as 'Reduces compiler workload (parallel)' to set correct expectations.
No. The skill prefers ad hoc flag injection through build commands first to validate the impact. Only apply persistent source edits after explicit developer approval.
The skill hands off to xcode-project-analyzer. Both skills work on the same project context but focus on different layers.
If SwiftEmitModule dominates incremental builds (30s+), the module is likely too large or macro-heavy. Consider splitting the module or reducing macro usage.
Use -Xfrontend -debug-time-compilation for per-file times, -Xfrontend -debug-time-function-bodies for per-function times, -Xfrontend -warn-long-function-bodies=<ms> to threshold warnings, and -Xfrontend -stats-output-dir <path> for detailed JSON statistics.
Full instructions (SKILL.md)
Source of truth, from avdlee/xcode-build-optimization-agent-skill.
name: xcode-compilation-analyzer description: Analyze Swift and mixed-language compile hotspots using build timing summaries and Swift frontend diagnostics, then produce a recommend-first source-level optimization plan. Use when a developer reports slow compilation, type-checking warnings, expensive clean-build compile phases, long CompileSwiftSources tasks, warn-long-function-bodies output, or wants to speed up Swift type checking.
Xcode Compilation Analyzer
Use this skill when compile time, not just general project configuration, looks like the bottleneck.
Core Rules
- Start from evidence, ideally a recent
.build-benchmark/artifact or raw timing-summary output. - Prefer analysis-only compiler flags over persistent project edits during investigation.
- Rank findings by expected wall-clock impact, not cumulative compile-time impact. When compile tasks are heavily parallelized (sum of compile categories >> wall-clock median), note that fixing individual hotspots may improve parallel efficiency without reducing build wait time.
- When the evidence points to parallelized work rather than serial bottlenecks, label recommendations as "Reduces compiler workload (parallel)" rather than "Reduces build time."
- Do not edit source or build settings without explicit developer approval.
What To Inspect
Build Timing Summaryoutput from clean and incremental builds- long-running
CompileSwiftSourcesor per-file compilation tasks SwiftEmitModuletime -- can reach 60s+ after a single-line change in large modules; if it dominates incremental builds, the module is likely too large or macro-heavyPlanning Swift moduletime -- if this category is disproportionately large in incremental builds (up to 30s per module), it signals unexpected input invalidation or macro-related rebuild cascading- ad hoc runs with:
-Xfrontend -warn-long-expression-type-checking=<ms>-Xfrontend -warn-long-function-bodies=<ms>
- deeper diagnostic flags for thorough investigation:
-Xfrontend -debug-time-compilation-- per-file compile times to rank the slowest files-Xfrontend -debug-time-function-bodies-- per-function compile times (unfiltered, complements the threshold-based warning flags)-Xswiftc -driver-time-compilation-- driver-level timing to isolate driver overhead-Xfrontend -stats-output-dir <path>-- detailed compiler statistics (JSON) per compilation unit for root-cause analysis
- mixed Swift and Objective-C surfaces that increase bridging work
Analysis Workflow
- Identify whether the main issue is broad compilation volume or a few extreme hotspots.
- Parse timing-summary categories and rank the biggest compile contributors.
- Run the diagnostics script to surface type-checking hotspots:
This produces a ranked list of functions and expressions that exceed the millisecond threshold. Use the diagnostics artifact alongside source inspection to focus on the most expensive files first.python3 scripts/diagnose_compilation.py \ --project App.xcodeproj \ --scheme MyApp \ --configuration Debug \ --destination "platform=iOS Simulator,name=iPhone 16" \ --threshold 100 \ --output-dir .build-benchmark - Map the evidence to a concrete recommendation list.
- Separate code-level suggestions from project-level or module-level suggestions.
Apple-Derived Checks
Look for these patterns first:
- missing explicit type information in expensive expressions
- complex chained or nested expressions that are hard to type-check
- delegate properties typed as
AnyObjectinstead of a concrete protocol - oversized Objective-C bridging headers or generated Swift-to-Objective-C surfaces
- header imports that skip framework qualification and miss module-cache reuse
- classes missing
finalthat are never subclassed - overly broad access control (
public/open) on internal-only symbols - monolithic SwiftUI
bodyproperties that should be decomposed into subviews - long method chains or closures without intermediate type annotations
Reporting Format
For each recommendation, include:
- observed evidence
- likely affected file or module
- expected wait-time impact (e.g. "Expected to reduce your clean build by ~2s" or "Reduces parallel compile work but unlikely to reduce build wait time")
- confidence
- whether approval is required before applying it
If the evidence points to project configuration instead of source, hand off to xcode-project-analyzer by reading its SKILL.md and applying its workflow to the same project context.
Preferred Tactics
- Suggest ad hoc flag injection through the build command before recommending persistent build-setting changes.
- Prefer narrowing giant view builders, closures, or result-builder expressions into smaller typed units.
- Recommend explicit imports and protocol typing when they reduce compiler search space.
- Call out when mixed-language boundaries are the real issue rather than Swift syntax alone.
Additional Resources
- For the detailed audit checklist, see references/code-compilation-checks.md
- For the shared recommendation structure, see references/recommendation-format.md
- For source citations, see references/build-optimization-sources.md
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