1019: LGTM, Ship It: The AI Code Review Problem

AI-driven development introduces significant challenges, particularly regarding code maintainability and the rapid accumulation of technical debt. When AI generates complex UI code, developers should enforce strict stylistic rules and utilize inline comments to ensure readability. High-volume pull request cycles, sometimes reaching 60 per week, often bypass meaningful human review, leading to fragile architectures and recurring bugs. While local AI models offer privacy, they demand substantial compute resources and are best applied to specific, targeted tasks rather than general-purpose coding. Freelance pricing should remain anchored in value delivered rather than time spent, even as AI accelerates production. Furthermore, while external libraries can reduce development effort, they carry long-term maintenance costs, making it prudent to favor native browser standards or custom, purpose-built utilities over relying on outdated or unnecessary third-party dependencies.