Ripon Chandra Malo, Zimeng Yu, Tong Qiu · 2026 · arXiv
DOI: 10.48550/arXiv.2610.30307 · open-access PDF
AI 코딩 에이전트는 조직이 소프트웨어를 구입하거나 필요한 기능을 구축하는지 여부를 바꿀 수 있습니다. 우리는 조직과 도메인 지식이 작업을위한 도구를 지정하고 평가하는 데 도움이되는 전문 구매자에 초점을 맞추고 있습니다. 우리는 소프트웨어 대체 경계를 고객이 그들을 구입하는 것보다 적은 비용으로 수용 가능한 표준으로 구축하고 유지할 수있는 기능으로 정의합니다.
Machine translation (Meta M2M100); the English original follows.
AI coding agents could change whether organizations buy software or build the functionality they need. We focus on organizations and professional buyers whose domain knowledge can help them specify and evaluate tools for their work. We define the software substitution frontier as the functions customers could build and maintain at an acceptable standard for less than buying them. Using public data, we compare growing capacity to build with indicators of market change. Since 2023, the length of benchmark tasks that leading agents can complete at 50 percent success, measured in human working tim
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