10-point audit checklist for vibe coders: async hot paths, N+1 queries, caches
weskambale · x · 2026-11-04
Against the trend of delegating security, performance, and architecture decisions to AI without review, the author lists 10 concrete audits to run on your codebase: parallelize sequential async calls on hot paths, apply data-oriented design, evaluate hash tables vs flat arrays (benchmark first), audit caches and state machines, find N+1 queries and missing indexes via query plans, audit memory lifetimes, check background jobs for races and idempotency, batch network round trips, and benchmark p50/p95/p99 before/after every change. Core message: review, test, and verify AI-generated code — don't shift costs to users and infrastructure.
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