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22 Essential Tests Every Developer Should Run on LLM Prompts Before Production

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A software developer has compiled a 22-category checklist of tests that should be performed on large language model prompts before they are deployed to production. The checklist addresses security vulnerabilities such as prompt injection, jailbreaking, and data exfiltration, which can arise even when a system prompt appears well-written. It also highlights risks specific to AI systems with tool access, including the ability to send emails, query databases, or execute code, where a flawed prompt can have far-reaching consequences. Additional concerns covered include indirect prompt injection via external content, persistent memory manipulation, and the safe handling of AI-generated outputs like SQL or HTML that may be automatically executed. The guide aims to bring the same rigour applied to traditional software testing — unit tests, CI pipelines, and code reviews — to AI-powered application development.

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22 Essential Tests Every Developer Should Run on LLM Prompts Before Production · ShortSingh