audit-performance

To audit MIDI2NES compiler performance, you evaluate parser efficiency, pattern detection scaling, large-file sampling, and memory usage to identify inefficiencies across compilation stages. This ensures benchmarks accurately reflect production code performance.

Compiler performance auditing evaluates speed, memory footprint, and parallel processing efficiency across compilation stages. It identifies scaling issues, validates benchmarks against production code, and exposes dimensional inefficiencies like parser bottlenecks.

Run the audit-performance skill with the `--focus` argument to specify target dimensions, such as `audit-performance --focus 1,2,3`. This targets specific areas like parser efficiency, pattern detection scaling, or memory usage.

Yes, auditing performance metrics requires knowledge of the MIDI2NES compiler's internal mechanisms. Understanding parser efficiency, pattern detection scaling, and memory usage ensures benchmarks accurately reflect production code performance.

Pattern detection scaling causes performance issues when large files trigger inefficient parallel processing and memory spikes. Auditing large-file sampling identifies these bottlenecks, ensuring the parser handles scaling without degrading compilation speed.