// freeCodeCamp · 22 April 2026

Product Experimentation for AI Rollouts: Why A/B Testing Breaks and How Difference-in-Differences in Python Fixes It

Your team shipped an LLM-based summaries feature to wave 1 workspaces at week 20 and now the post-launch doc is due. You need a causal effect number, a specific estimate you can defend to a statistici

freeCodeCamp

@freecodecamp · Rudrendu Paul

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