Dive Brief:简讯：
- The size and structure of software engineering teams will likely change in the next three years, according to research from Gartner published Tuesday. By 2029, 60% of organizations said they will adopt smaller software engineering teams, compared with 15% this year. 根据 Gartner 周二发布的研究报告，软件工程团队的规模和结构在未来三年内可能会发生变化。到 2029 年，60% 的组织表示将采用规模更小的软件工程团队，而今年这一比例仅为 15%。
- AI adoption has been changing the role and responsibilities of engineers, and as agents handle more routine technical tasks, engineers have more time to focus on problem-solving, Gartner found. This change will lead organizations to reorganize engineering departments into smaller teams, often comprised of four or five members. Gartner 发现，人工智能的普及正在改变工程师的角色和职责。随着智能体处理更多常规技术任务，工程师有更多时间专注于解决复杂问题。这一转变将促使企业将工程部门重组为规模更小的团队，通常由四到五名成员组成。
- Three-quarters of software engineering leaders expect their headcounts to remain the same or grow, according to the analyst firm. The new model isn’t a cost-saving tactic, Aliyah Camacho, principal analyst at Gartner, said in an email to CIO Dive. “It’s a restructuring of teams to best take advantage of AI and human expertise,” she said. 据该分析机构称，四分之三的软件工程主管预计其团队人数将保持不变或有所增加。Gartner 首席分析师 Aliyah Camacho 在发给 CIO Dive 的电子邮件中表示，这种新模式并非为了削减成本。“这是为了优化团队结构，从而充分利用人工智能和人类专家的优势。”她说。
Dive Insight:深度洞察：
The software engineering profession is experiencing an overhaul as more teams adopt AI agents, responsibilities shift toward managing AI outcomes and the price of AI coding rivals the cost of human workers. 随着越来越多的团队采用人工智能智能体，职责转向管理人工智能产出，且人工智能编码的成本开始与人力成本相抗衡，软件工程行业正经历一场彻底的变革。
Adopting AI into engineering workflows has become the default. Under the new operating model, engineering responsibilities have expanded to include scrutinizing code quality and security, taking accountability for downstream outcomes, and making judgment calls about when to trust Al and when to override it, a May report conducted by software platform Harness found. 将人工智能融入工程工作流已成为常态。软件平台 Harness 在 5 月份发布的一份报告显示，在新的运营模式下，工程职责已扩展到包括审查代码质量和安全性、对下游结果负责，以及在何时信任人工智能或何时覆盖其决策方面做出判断。
As the traditional responsibilities of software engineering roles fluctuate, organizations might find more success by breaking employees into smaller groups, Gartner’s report said. These smaller groups likely include skilled engineers such as a product manager, a user experience or agent experience designer, and at least one AI-native software engineer. Gartner 的报告指出，随着软件工程角色传统职责的波动，企业通过将员工拆分为更小的团队可能会取得更大的成功。这些小型团队通常包括产品经理、用户体验或智能体体验设计师，以及至少一名原生人工智能软件工程师等技术人才。
In this structure, each team member manages a variety of responsibilities including understanding business goals, managing AI agents and product design. The size of a successful team will likely change based on the project or goals they’re working on, but it’s important they stay nimble, while being big enough to promote a diversity of ideas, Camacho said. 在这种结构下，每位团队成员都要承担多种职责，包括理解业务目标、管理人工智能智能体和产品设计。Camacho 表示，高效团队的规模可能会根据项目或目标的不同而变化，但重要的是既要保持敏捷，又要确保团队规模足以促进思想碰撞。
“Due to AI-driven compression of roles and competencies, software engineers are becoming ‘product engineers,’ freeing product managers to focus on the product vision and feature roadmap of the future rather than feature implementation details,” Camacho said. Camacho 说：“由于人工智能推动了角色和能力的压缩，软件工程师正在转变为‘产品工程师’，这使得产品经理能够从功能实现的细节中解脱出来，转而专注于未来的产品愿景和功能路线图。”
She emphasized that Gartner is not predicting the restructuring should cause job losses within organizations. In fact, slowing junior-level hiring could lead to talent pitfalls for organizations over time, hindering knowledge transfer, restructuring internal talent pipelines and limiting recruitment to more expensive and competitive senior roles, Camacho said. 她强调，Gartner 并不预测这种重组会导致组织内部裁员。事实上，Camacho 指出，放缓初级职位的招聘可能会随着时间的推移给企业带来人才隐患，阻碍知识传递，扰乱内部人才储备，并将招聘范围局限于成本更高、竞争更激烈的资深职位。
“AI is reshaping software engineering — not by replacing developers, but by creating a surge in demand for intelligent applications and new engineering roles,” Camacho said. “人工智能正在重塑软件工程——它不是通过取代开发人员，而是通过创造对智能应用和新型工程角色的巨大需求来实现这一过程的。”Camacho 说道。
