AI Agents for Performance: Ship Faster, Pay Less — Rajat Shah, Netflix
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- AI Agents
- Type
- ARTICLE
- Added
- Jul 28, 2026
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An inefficient quadratic-time pattern was hiding inside a tensor merge method on a live Netflix service, quietly wasting CPU on every request - nothing in a code review caught it, but it stood out clearly in a call stack. That's usually how this kind of waste gets missed - the normal process of catching it (profiling, reading a flamegraph, tracing it through the codebase, writing a fix, validating it) takes long enough that inefficiencies sit in production for months before anyone looks at them.
Why it made the leaderboard
Shows agents applied to performance archaeology, a use case with measurable cost impact and a clear workflow.
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