据IT之家报道，全球知名市场研究机构Gartner近日发布的一项最新报告显示，AI技术在企业软件开发领域的应用正以前所未有的速度增长。目前，企业软件工程师使用AI代码助手的比例尚不足10%，但Gartner预测，到2028年，这一比例将飙升至75%，显示出AI在软件工程中的普及趋势。
Gartner在2023年第三季度对全球598家知名企业进行了深入调查，发现其中63%的企业已经或正在试用、部署AI代码助手。这一数据揭示了AI在提高开发效率、优化代码质量和减少人为错误方面的潜力，正在被越来越多的企业认可和接纳。
随着AI技术的不断发展和优化，代码助手能够帮助工程师快速生成、检查和修改代码，极大地提升了软件开发的效率和质量。Gartner的报告指出，这种趋势将重塑企业软件开发的格局，推动行业向更智能化、自动化方向发展。
报告同时提醒，尽管AI代码助手的广泛应用前景可期，但企业仍需关注其在合规性、数据安全和人工智能伦理等方面可能带来的挑战。在未来，如何平衡技术进步与风险管控，将成为企业在AI辅助软件开发领域必须面对的关键问题。
英语如下：
News Title: “Looking Forward to 2028: Gartner Predicts 75% of Enterprise Software Engineers Will Rely on AI Coding Assistants”
Keywords: AI coding assistants, enterprise adoption, Gartner report
News Content: According to IT Home, a recent report from Gartner, a renowned global market research firm, reveals that the application of AI technology in enterprise software development is growing at an unprecedented pace. Currently, less than 10% of enterprise software engineers utilize AI code assistants; however, Gartner forecasts that this figure will surge to 75% by 2028, indicating the widespread adoption of AI in software engineering.
In the third quarter of 2023, Gartner conducted an in-depth survey of 598 prominent companies worldwide, finding that 63% have either adopted or are piloting AI code assistants. These figures highlight the potential of AI in enhancing development efficiency, optimizing code quality, and minimizing human errors, which is gaining increasing recognition and acceptance among businesses.
As AI technology continues to evolve and optimize, code assistants aid engineers in swiftly generating, inspecting, and modifying code, significantly boosting the efficiency and quality of software development. The Gartner report suggests that this trend will reshape the landscape of enterprise software development, propelling the industry towards greater intelligence and automation.
The report also cautions that while the widespread adoption of AI code assistants is promising, companies need to be aware of potential challenges in compliance, data security, and AI ethics. In the future, striking a balance between technological advancements and risk management will be a critical issue for enterprises in the realm of AI-assisted software development.
【来源】https://www.ithome.com/0/761/406.htm
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