xcode-compilation-analyzer

To identify slow Swift compilation hotspots, parse the Xcode Build Timing Summary and Swift frontend diagnostics to rank compile bottlenecks by wall-clock impact. This generates a prioritized source-level optimization plan targeting slow CompileSwiftSources phases and heavy type-checking workloads.

A slow CompileSwiftSources phase is diagnosed by parsing per-file timing data and -Xfrontend diagnostics like warn-long-function-bodies. This surfaces the specific files causing expensive incremental builds or heavy type-checking workloads, allowing targeted optimization.

The best way to optimize Swift type-checking warnings is to analyze -Xfrontend diagnostics and Build Timing Summary data. This prioritizes source-level optimizations based on parallelism and wall-clock impact rather than raw seconds, directly targeting recurring type-check slowdowns.

Yes, you can use Xcode build timing summaries to investigate slow incremental builds in mixed-language projects. The analysis evaluates per-file timing data and frontend diagnostics to rank compile bottlenecks across large bridging surfaces and mixed-language modules.

Start analyzing Xcode compilation bottlenecks by running the diagnose_compilation.py script against your project. It surfaces compilation hotspots from Build Timing Summary data and generates a diagnostics artifact to guide your optimization plan.

When optimizing slow Xcode build times, limitations include relying on accurate Build Timing Summary and Swift frontend diagnostics output. The resulting recommendations prioritize source-level fixes for type-checking and compile phases, but may not address underlying project configuration or dependency issues.