Developer Builds Regression Tests for AI Coding Rules to Verify Behavioral Impact

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A developer working on AI-driven development found that improving instructions for AI coding agents was not sufficient and began building repository-level governance using structured Markdown rules. The project, called AIDDSkeleton, governs how an AI agent interprets project information, manages work lifecycle, and handles review findings. After updating these natural-language rules, the developer realized there was no reliable way to confirm whether the rules — rather than other variables — were actually driving better agent behavior. This led to a regression-testing approach where candidate governance changes were applied to a separate repository and the agent's behavior was observed. An early flaw emerged when test prompts inadvertently embedded the expected reasoning, meaning experiments measured the model's ability to follow hints rather than the governance's true effect on behavior.

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