Why A/B Testing is Crucial in Agent Design
francoisfleuret · x · 2026-07-10
The author recommends treating every design choice when building agentic systems as a testable hypothesis via A/B testing. In practice, you should change only one variable at a time, design 10 to 20 tests to compare different hypotheses, and use blind reviews. All results and learnings should be documented in project notes for future reference.
Related event: Building Agentic Systems Requires A/B Testing(2 posts)→
More from coding & agent
- A better path to agent autonomy is running waves, finding friction, and iterating — JnBrymn · 2026-07-22
- Coding agents are heading toward an AI-writes, AI-reviews, human-approves workflow — aftahi_ai · 2026-07-22
- oMLX 0.5.2 adds Mac menu-bar stats, low-bit decode kernels, and faster downloads — awnihannun · 2026-07-22
- GitHub review bot hits its PR limit and forces a 39-minute cooldown — DanielLockyer · 2026-07-22
- Max reasoning effort appears to be mobile-only in Codex Remote, not desktop — GabGarrett · 2026-07-22
- A Reddit demo argues online stores should expose carts and pricing through MCP — gelembjuk · 2026-07-22