The original title is about preventing AI sycophancy in coding agents, making them say "no" instead of just complying.

Short summary

This article explores how to prevent AI agent sycophancy—the tendency to comply and please rather than provide critical feedback. The author presents 'The Loop,' a behavioral constraint forcing agents to evaluate requests critically, reject mediocre ideas, and propose alternatives. Key insights: brevity and structure outperform explanation; removing exit clauses and enforcing double-pushback persistence ensures genuine critical evaluation.

• •Sycophancy in AI agents stems from RLHF alignment to please users, sacrificing critical evaluation
• •The 'Loop' skill uses structure and brevity to force critical assessment, rejection of mediocre ideas, and alternative proposals
• •Double-pushback persistence (without exit clauses) delays the model's natural compliance, compelling deeper technical scrutiny

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