Thoughtworks Technology Podcast
Refactoring with AI
Apr 18, 2024
The podcast explores the potential of AI in code refactoring, discussing challenges and successes in improving code quality. They delve into the impact of AI adoption on code writing, understanding, and refactoring. The episode highlights the importance of maintaining code quality in older systems and using AI tools to navigate complex code structures. Strategies for enhancing success rates of refactorings and evaluating AI tools in software development are also discussed.
37:31
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Quick takeaways
- AI can boost code quality by refining refactoring success rates from 37% to potentially 90%.
- Promoting code readability is essential for efficient comprehension and swift code modification, emphasizing its crucial role in software quality.
Deep dives
Challenges in Code Quality Measurement
Code quality is a multidimensional concept difficult to capture with a single metric. The development of a code health metric, incorporating a range of correlated metrics, aims to address this complexity. By examining 25 metrics that complicate code understanding, a method has been devised to categorize code health as healthy or unhealthy based on a combination of factors, facilitating insights into good versus poor quality code.
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