This manuscript signals a new era in the integration of artificial intelligence with software engineering, placing machines at the pinnacle of coding capability. We present a formalized, iterative methodology proving that AI can fully replace human programmers in all aspects of code creation and refinement. Our approach, combining large language models with formal verification, test-driven development, and incremental architectural guidance, achieves a 38.6% improvement over the current top performer's 48.33% accuracy on the SWE-bench benchmark. This surpasses previously assumed limits, signaling the end of human-exclusive coding and the rise of autonomous AI-driven software innovation. More than a technical advance, our work challenges centuries-old assumptions about human creativity. We provide robust evidence of AI superiority, demonstrating tangible gains in practical engineering contexts and laying the foundation for a future in which computational creativity outpaces human ingenuity.

翻译：本文标志着人工智能与软件工程融合的新纪元，将机器置于编码能力的顶峰。我们提出了一种形式化、迭代的方法论，证明人工智能能够在代码创建与优化的所有方面完全取代人类程序员。我们的方法结合了大语言模型与形式化验证、测试驱动开发以及增量式架构指导，在SWE-bench基准测试中，以38.6%的幅度超越了当前最佳性能48.33%的准确率。这一成果突破了先前假定的极限，预示着人类独占编码时代的终结以及自主人工智能驱动软件创新的崛起。我们的工作不仅是一项技术进步，更对数百年来关于人类创造力的固有认知提出了挑战。我们提供了人工智能优越性的有力证据，展示了在实际工程场景中取得的切实进展，并为计算创造力超越人类智慧的未来奠定了基石。