Treat Agent Design Choices as A/B Test Hypotheses
robleclerc · x · 2026-07-10
Sharing engineering insights on building agentic systems, the author stresses treating every design choice as a hypothesis requiring A/B testing. They recommend generating 10-20 tests per hypothesis, using blind evaluations, changing only one variable at a time, and meticulously documenting all results and experiences. The author points out that agent behavior often defies expectations. By digging into the reasons behind these unintended behaviors, developers can better understand the system's nature, building intuition to guide future design decisions. The entire process is a blend of art, science, and engineering.
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