How does AI impact code maintenance?
An example of an AI chatbot conversation about the impact of AI on code maintenance.
How does AI impact code maintenance?
AI can automate repetitive tasks, improve code quality, and assist in debugging, making maintenance more efficient.
Can you give examples of AI tools used in code maintenance?
Sure! Tools like GitHub Copilot, SonarQube, and DeepCode help developers with code suggestions and error detection.
What are the benefits of using AI for maintaining legacy code?
AI can help understand legacy code better, suggest modern alternatives, and automate updates, reducing technical debt.
Are there any risks associated with using AI in code maintenance?
Yes, risks include over-reliance on AI, potential for introducing new bugs, and the need for human oversight.
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