Exploring the AI Code Wars: Who Writes Better Code?
In a groundbreaking experiment, Tim Gilboy pits six AI agents against each other to determine who can generate the best code for a personal finance tracking web app. The outcome reveals the complexities and capabilities of today’s AI technologies.
The Contenders:
- Loveable
- Bolt
- V0
- Replit
- Claude Code
- Cursor
Key Findings:
- Bolt and Claude Code emerged as the top performers, showing remarkable quality in maintainability and complexity.
- Browser-based agents excelled in executing straightforward tasks, while Cursor and Claude required more guidance.
Code Quality Metrics:
- Complexity, maintainability, and function length were assessed, highlighting variances among the agents.
- No agent produced unusable code; even the less effective ones showed potential for extension.
What’s Next?
Tim plans to escalate task complexity and explore the impact of declining code quality on AI performance.
🔗 Curious about AI’s future in coding? Dive into the full experiment and share your thoughts! Let’s connect and foster a conversation in AI and technology!