Benchmark Ori compiler lexer and parser throughput against baselines.
npx skills add https://github.com/upstat-io/ori-lang --skill benchmark-upstat-io
Please help me install this Agent Skill. Skill: benchmark Source: https://github.com/upstat-io/ori-lang/tree/main/.claude/skills/benchmark Command: npx skills add https://github.com/upstat-io/ori-lang --skill benchmark-upstat-io
This Skill provides a standardized way to measure and track the performance of the Ori compiler's lexer and parser components, ensuring regressions are caught early.
short, medium, long, or memory profiles to suit your needs.long duration benchmarks to verify it doesn't negatively impact performance compared to the established baselines.Run the benchmark skill with the medium duration setting.
High-intent search queries and answers about installing and using this skill.
You can benchmark compiler lexer and parser performance by running this skill to measure throughput and memory allocation across short, medium, long, or memory profiling duration profiles.
Compiler performance regression testing is the process of comparing current benchmark results against defined baselines to detect negative impacts on lexer and parser throughput or memory allocation introduced by new optimizations.
To check for memory allocation regressions in a compiler parser, run the memory profiling benchmark duration profile to measure allocation changes and compare the results against established performance baselines.
Yes, you can run short, medium, or long duration compiler benchmarks before releasing an optimization to verify that changes to lexer and parser modules do not negatively impact performance compared to baselines.
The best way to track compiler throughput over time is to execute standardized benchmarks for the lexer and parser modules and consistently compare the results against defined baselines to detect any performance regressions.
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