Profile programs at the function/method level to identify performance hotspots, bottlenecks, and optimization opportunities. Records execution time, memory usage, and call frequency for each interval. Generates actionable recommendations and visualizations. Use when users need to (1) analyze program performance, (2) identify slow functions or bottlenecks, (3) optimize execution time or memory usage, (4) profile Python, Java, or C/C++ programs with test cases or workload scenarios, or (5) generate performance reports with flame graphs and recommendations.
92
89%
Does it follow best practices?
Impact
99%
1.23xAverage score across 3 eval scenarios
Passed
No findings from the security scan
| Run | Type | Date | Status |
|---|---|---|---|
baseline vs usage-spec With / without contextCompleted | With / without context | Completed |
019cc499-43f3-72cd-86fb-19195814aadd
Run
The run is available. Its result stats will appear here when they are ready.
4f38503
Table of Contents
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