Anti-Pattern Avoidance: A Simple Prompt Pattern for Safer AI-Generated Code

AI coding agents are becoming integral to modern software development, capable of quickly generating boilerplate code and complex integrations, but they often produce insecure code due to training on publicly available data containing both secure and insecure examples. The anti-pattern avoidance prompt pattern is a zero-shot technique that addresses this issue by instructing AI models to generate code while avoiding specific security weaknesses identified by Common Weakness Enumeration (CWE), such as CWE-20 for improper input validation. This approach, which requires more security knowledge than other methods like the secure vs insecure diff pattern, involves identifying relevant CWEs for the task at hand and instructing the language model to avoid these weaknesses, thereby enhancing the security of AI-generated code by focusing on secure implementation alongside functionality.

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