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The AI Code Review Disconnect: Why Your Tools Aren't Solving Your Real Problem
Many engineering teams are purchasing AI code review tools, but are they solving the problem they think they are?
When I ask these teams how they evaluated these tools before purchase, they invariably mention the quality of PR comments – bug detection, security vulnerabilities, style recommendations, and readability improvements. Catching issues before human review begins Suggesting improvements to code quality Providing educational feedback to developers Enforcing style guidelines and best practices Understand what the code is trying to accomplish Identify business logic issues that AI can't catch Assess architectural implications Evaluate how changes fit into the broader system
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