Single-Modal LLMs Have a Blind Spot. Here's How to Fix It.

Single-modal large language models like Claude Code suffer from a fundamental flaw: they can't critique their own outputs because they're using the same logic that generated the code in the first place. This means they'll often give a glowing review of their work, even when it's flawed. Simply asking them to act as a senior engineer doesn't solve the issue because they generate responses based on their internal models. Addressing this blind spot is crucial for improving the reliability and safety of AI-generated code, making it essential for developers and engineers who rely on these tools.