AI coding benchmarks should show performance, cost, and latency distributions
zainhas · x · 2026-07-26
An AI coding writeup argues that benchmark results should be reported as distributions rather than a single clean number.
It suggests showing:
- the distribution of performance across many runs
- the distribution of cost per task
- the distribution of wall-clock time
The core point is that a single average can hide variance, reliability issues, and real-world tradeoffs in agentic coding workflows.
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