📄 中文摘要
在过去的12个月中，人工智能在工程领域的讨论已从“酷炫工具”转变为“新工作方式”，涵盖了从编码助手到全流程自动化的工作流。这一趋势在DEV社区中得到了明显体现，特别是在关于2026年人工智能趋势的讨论中。然而，当人工智能进入生产阶段时，首先出现问题的往往不是模型本身，而是团队的协调、责任划分和质量标准。因此，工程团队的人工智能工作流在决定团队效率和减少混乱方面至关重要。
工程团队的人工智能：确保系统高效运作的检查清单（无混乱和质量风险）
📄 English Summary
AI di Tim Engineering: Checklist People System Agar Produktif (Tanpa Chaos dan Risiko Kualitas)
Over the past 12 months, discussions about AI in engineering have shifted from 'cool tools' to 'new ways of working,' encompassing everything from coding copilots to end-to-end automated workflows. This trend is clearly reflected in the DEV community, particularly in discussions about AI trends for 2026. However, when AI enters production, the first issues often arise not with the models themselves, but with team coordination, ownership, and quality standards. Therefore, the AI workflow within engineering teams is crucial in determining whether a team operates efficiently or descends into chaos.