Goodbye to Manual Code Review: The Vibe Coding Experiment Behind TenCirPauli

说明与用途

TenCirPauli 展示了完全由 AI 驱动的开发流程如何扩展到数万行代码，通过自动化测试和基准测试确保正确性和性能，同时最小化人工代码审查。

问题

How to develop a large scientific computing project entirely with AI while maintaining quality and performance.

结果

TenCirPauli demonstrates that an AI-driven development model can scale to 80k+ lines of code, maintain correctness and performance through automated testing, and reduce human review burden.

工作流

• High-capability AI analyzes goal and drafts initial Spec
• Human aligns key interfaces, semantics, and architectural trade-offs with Spec
• Medium-capability AI implements the Spec
• High-capability AI reviews implementation and generates Review Report
• Medium-capability AI fixes identified issues
• Automated tests and benchmarks validate correctness and performance
• Process repeats for new features or changes
• Periodic global AI inspections scan repository for accumulated problems

证据

The developer’s role is concentrated on goals, specifications, key architectural decisions, and acceptance criteria.

来源

Even medium-capability AI models can now outperform many mature scientific software implementations across a surprisingly broad range of workloads.

来源