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Developer finds AI config file ineffective, shifts to active measurement

A developer discovered that their extensive CLAUDE.md configuration file, intended to guide AI-generated code according to specific conventions, failed to prevent a violation of WordPress.org's guidelines. The AI generated trialware-like code despite a rule explicitly forbidding it, highlighting that a written rule does not guarantee its enforcement. This led the developer to shift from trusting the configuration file to actively measuring its effectiveness through shorter files, metadata, and external checks like reviews or fresh AI sessions. AI

IMPACT Highlights the need for active validation of AI-generated code rather than relying solely on configuration files.

RANK_REASON Developer's personal experience and reflection on using AI configuration files.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer finds AI config file ineffective, shifts to active measurement

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Rapls ·

    I trusted my CLAUDE.md. WordPress.org rejected the exact thing it was supposed to prevent.

    <p>My CLAUDE.md had a rule about it. The generated code broke the rule anyway. And the thing that finally caught it wasn't my config file. It was a rejection from the WordPress.org plugin review team.</p> <p>I'd been building plugins with a long CLAUDE.md. Over time I'd folded tw…