

How developers (really) used AI coding tools in 2024
4 snips Dec 31, 2024
Tarek Shakhat, Co-CEO of Sonar, and Bill Harding, CEO of GitClear, explore the impact of AI coding tools in 2024. They discuss whether these tools enhance or degrade code quality and how AI can streamline pull requests. The duo highlights the importance of prompt engineering and staying proactive with code management. They also share insights on the future of AI in software development, advocating for tool integration that supports rather than replaces developers, creating a more collaborative coding environment.
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Explain Issues, Not Just Fix Them
- Sonar's AI helps developers learn by explaining issues and suggesting fixes.
- This approach is more valuable than simply telling developers to fix issues without explanation.
Developer Toil
- A Stripe study showed developers spend 40-50% of their time on debugging and refactoring.
- Sonar's AI aims to reduce this toil by suggesting code fixes and improving efficiency.
Trust but Verify
- Companies using generative AI need a "trust but verify" approach.
- Hallucinations in AI models require quality control systems for critical code.