AI Agents for Performance: Ship Faster, Pay Less — Rajat Shah, Netflix
Source
AI Engineer
Author
AI Engineer
Date
Why it matters
Shows agents applied to performance archaeology, a use case with measurable cost impact and a clear workflow.
Key quotes
“People typically end up looking at profiling data only when something is going wrong at 2:00 a.m. and somebody needs to fix a problem because your CPU is unbearable.”
Rajat Shah
“Profiler gives the estimate, canary gives ground truth.”
Rajat Shah
“You can't simply run AI agents without the right level of security guardrails so that prompt injection and other security attacks that a typical agent infrastructure currently cannot always solve for.”
Rajat Shah
“Your um agent doesn't know specific details about your platforms and your frameworks uh and your internal code base patterns.”
Rajat Shah
“together a stateful catalog and a state stateless LLM can become a full fleet-wide memory”
