Make your application faster with measured fixes.
What it does
Improves application speed and efficiency by identifying bottlenecks, implementing optimizations, and verifying the results.
When to use it
Use when investigating performance problems or optimizing slow or inefficient code.
How to use it
Give it an application to optimize; it measures performance, applies fixes, and verifies and documents the improvements.
What you provide
- An existing project
What you need · 3
Python 3 is needed to run the bundled performance profile and report template generators.
An after-completion hook triggers self-improving-agent in the background to learn from performance patterns; whether it is required is unstated.
An after-completion hook automatically triggers session-logger to log the performance optimization; whether it is required is unstated.
Access · 0
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