AI Code Reviews: How to Achieve Peace by Simply Writing "Not Doing" in Response to Overly Aggressive AI Suggestions
Analysis
This article discusses the experience of using AI code review tools and how, despite their usefulness in improving code quality and reducing errors, they can sometimes provide suggestions that are impractical or undesirable. The author highlights the AI's tendency to suggest DRY (Don't Repeat Yourself) principles, even when applying them might not be the best course of action. The article suggests a simple solution: responding with "Not Doing" to these suggestions, which effectively stops the AI from repeatedly pushing the same point. This approach allows developers to maintain control over their code while still benefiting from the AI's assistance.
Key Takeaways
- •AI code review tools are helpful but can sometimes make impractical suggestions.
- •Responding with "Not Doing" can effectively stop the AI from repeatedly suggesting unwanted changes.
- •Developers should maintain control over their code and not blindly follow AI suggestions.
“AI: "Feature A and Feature B have similar structures. Let's commonize them (DRY)"”