When not to use AI: Limitations and pitfalls

- AI coding assistants have transformed how we write code, but they've also introduced new categories of risks that many developers overlook. Blindly trusting AI suggestions can lead to serious production issues. Never rely solely on the AI for code reviews or quality assurance. AI doesn't understand your team's full context, long-term goals or the subtle implications of design decisions. For example, an AI might approve a solution that works but violates your company's established patterns or policies. Code review is about more than just correctness. It's about consistency and knowledge sharing. Legacy system integration is another area of concern. AI assistance are trained on modern, well-documented APIs and patterns. They don't understand your company's 15-year-old custom protocols or undocumented quirks. When integrating with legacy systems, you often need to work around known bugs or follow specific requirements that aren't obvious from the surface. AI might suggest clean and…