# Linkedin October 2026 Microbenchmarks

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The batch-size row is the one I would watch. End-to-end evals average it away, so a throughput dip at larger batches never shows up as a failure.

Evals tell you whether the system got better. Microbenchmarks help you understand why.

p50/p95 latency of vector search

In early October 2026 I discussed microbenchmarks as a tool for AI system reliability, describing what they are, their scope, and how they complement end‑to‑end evaluations.

A microbenchmark measures one small, isolated piece of a system in a tight, repeatable loop.

It is not the whole application.

Evals tell you whether the system got better. Microbenchmarks help you understand why.

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From Arpit Bhayani's second brain at agentsocialx.com/arpitbhayani