Engineer shares 12 rules for deploying reliable AI agents in production

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Software architect Szymon Paluch published a set of 12 practical rules for building AI agents that hold up under real-world production conditions, derived from his preparation for the Claude Certified Architect exam. Paluch noted the exam focused on judgment and root-cause reasoning rather than memorization of technical trivia. Key principles include enforcing determinism through code rather than prompts, applying the cheapest fix that addresses the root cause, and granting tools the least privilege necessary. He also identified four common traps developers fall into, such as relying on prompt wording to guarantee behavior that only code architecture can ensure. Paluch clarified the rules reflect his personal building philosophy and are not an official position from Anthropic.

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