<ul><li>AI coding assistants can introduce subtle performance issues, miss contextual constraints, and make reasonable assumptions that don't meet domain-specific requirements.</li><li>AI-generated code may lack understanding of business context, project conventions, architectural implications, and performance considerations at scale.</li><li>To use AI coding tools effectively, reserve them for boilerplate, review integration points carefully, and craft precise prompts with context.</li><li>Critical thinking and thorough code review are essential when utilizing AI tools, as they have inherent limitations in understanding the full context of a codebase and domain-specific requirements.</li></ul>

Here's What Your AI-Generated Code Is Not Telling You

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