What are the limitations of AI in code review?
An example of an AI chatbot conversation about AI's role and limitations in code review.
What are the limitations of AI in code review?
AI can assist in code review by identifying syntax errors and suggesting improvements, but it struggles with understanding context and complex logic.
Can AI understand the intent behind the code?
Not fully. AI lacks the ability to grasp the developer's intent or the business logic behind the code, which can lead to misunderstandings.
How does AI handle edge cases in code?
AI may miss edge cases since it relies on patterns from training data. It might not recognize unique scenarios that require human insight.
Is AI capable of learning from previous code reviews?
Yes, AI can learn from previous reviews if it's designed to do so, but it requires a substantial amount of quality data to improve.
What are the best practices for using AI in code reviews?
Best practices include using AI as a supplementary tool, ensuring human oversight, and continuously training the AI with diverse code examples.
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