据市场研究机构Gartner的最新报告，AI代码助手在企业软件开发领域的应用将迎来爆发性增长。目前，2023年年初，全球范围内使用AI代码助手的企业软件工程师比例不到10%，但Gartner预测，到2028年，这一比例将显著跃升至75%。
Gartner在2023年第三季度对全球598家知名企业进行了深入调查，揭示了AI技术在软件工程中的日益普及趋势。调查结果显示，已有63%的企业正在试用、部署或已经成功部署了AI代码助手，这表明企业对提升开发效率和优化代码质量的需求正在推动AI技术的广泛应用。
这一预测反映了AI在软件工程领域的巨大潜力，它能够协助工程师进行代码编写、调试和优化，提高开发速度，同时减少人为错误。随着AI技术的不断成熟和企业对自动化工具的接纳度提升，未来几年AI代码助手有望成为企业软件开发的标配工具。
Gartner的报告强调，企业需要开始考虑如何适应这一变革，包括对员工进行相关培训，以确保他们能够有效地与AI代码助手协同工作，从而在快速变化的技术环境中保持竞争力。这一转变也将对软件工程的教育和职业发展产生深远影响，推动行业向更加智能化、高效化的方向发展。
英语如下：
**News Title:** “Gartner Predicts 75% of Enterprise Software Engineers Will Rely on AI Code Assistants by 2028”
**Keywords:** AI Code Assistants, Enterprise Adoption, Gartner Report
**News Content:**
Title: Gartner Report: 75% of Enterprise Software Engineers to Use AI Code Assistants by 2028
According to the latest report from market research firm Gartner, the adoption of AI code assistants in enterprise software development is set to experience exponential growth. Currently, in early 2023, less than 10% of global enterprise software engineers utilize AI code assistants, but Gartner forecasts that this figure will surge to 75% by 2028.
In the third quarter of 2023, Gartner conducted an in-depth survey of 598 prominent businesses worldwide, revealing the increasing trend of AI integration in software engineering. The results show that 63% of these companies are either piloting, deploying, or have successfully deployed AI code assistants, indicating the growing demand for enhancing development efficiency and improving code quality through AI technology.
This prediction underscores the substantial potential of AI in software engineering, as it aids engineers in coding, debugging, and optimization, boosting development speed while minimizing human errors. With the maturation of AI technology and increasing acceptance of automation tools, AI code assistants are poised to become standard tools in enterprise software development in the coming years.
The Gartner report emphasizes the need for businesses to adapt to this transformation, including upskilling employees to effectively collaborate with AI code assistants, ensuring competitiveness in the rapidly evolving tech landscape. This shift will also have a profound impact on software engineering education and professional development, propelling the industry towards a more intelligent and efficient future.
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