From Defects to Demands: A Unified, Iterative, and Heuristically Guided LLM-Based Framework for Automated Software Repair and Requirement Realization

• URL: http://arxiv.org/abs/2412.05098v1
• Date: Fri, 06 Dec 2024 14:54:21 GMT
• Title: From Defects to Demands: A Unified, Iterative, and Heuristically Guided LLM-Based Framework for Automated Software Repair and Requirement Realization
• Authors: Alex, Liu, Vivian, Chi,
• Abstract summary: This manuscript signals a new era in the integration of artificial intelligence with software engineering. We present a formalized, iterative methodology proving that AI can fully replace human programmers in all aspects of code creation and refinement.
• Score: 44.99833362998488
• License:
• Abstract: 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.

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