Find and fix bottlenecks in your Python code.
What it does
Guides profiling and targeted optimizations to make Python code faster and reduce its memory use.
When to use it
Use when investigating slow Python applications, excessive memory use, or inefficient database, I/O, and data-processing operations.
How to use it
It changes how the agent optimizes Python code by measuring bottlenecks first and focusing changes on hot paths.
What you provide
- An existing project
Latest review
What you need · 1
Requires Python to run the profiling commands and code examples; no runtime version is specified.
Access · 0
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