AI Agent Mastery • Module 19
Performance Optimization
Making AI testing fast and efficient
Module 19 of 30
"Dear Marilyn,
Our AI testing is powerful but slow. It takes hours to analyze requirements and generate tests. How do we speed it up?
— Patience Exhausted"
Marilyn Responds:
AI is computationally expensive. But expense doesn't mean slow—it means you need to be smart about when and how you use it.
Optimization strategies include caching, incremental processing, and tiered analysis. Not everything needs the full AI treatment.
Fast enough is the goal, not fastest possible.
Optimization Strategies
Performance optimization approaches:
- Caching — Reuse previous analysis for unchanged content
- Incremental Processing — Only analyze what's changed
- Tiered Analysis — Quick checks first, deep analysis when needed
- Parallel Processing — Distribute work across resources
Quick Check: Module 19
Question: What's the most effective way to speed up AI testing?
a) Use faster hardware
b) Avoid redundant processing through caching and incremental analysis
c) Simplify the AI models
d) Run fewer tests
(Answer: b — Don't redo work. Cache results and only process changes.)