What are the main challenges AI faces in bug fixing?
AI faces several challenges in bug fixing, including understanding context, handling ambiguous code, and learning from limited data.
Can you elaborate on how context affects AI in bug fixing?
Sure! Context is crucial because bugs often depend on the specific environment and code structure, which AI may not fully grasp.
What about the issue of ambiguous code?
Ambiguous code can lead to misinterpretation by AI, making it difficult to identify the root cause of a bug accurately.
How does limited data impact AI's bug fixing capabilities?
Limited data restricts AI's ability to learn from diverse scenarios, which can hinder its effectiveness in identifying and fixing bugs.
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