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从 Agent 到 Loop：AI 正如何重构软件工程？｜QCon 上海 2026 即将开幕
AI InsightTechnical practices from leading Chinese internet companies in 2026 show that AI applications are shifting from single-point model invocations like coding to comprehensive Agent ecosystems covering R&D, infrastructure, and complex consumer chains. This implies that AI's core value is evolving from tool-based efficiency to complete service fulfillment and business restructuring.Key TakeawaySoftware engineering is shifting from isolated model calls to end-to-end restructuring centered on Agents and continuous loops.Why It MattersAs AI penetrates complex consumer chains such as travel, the challenge shifts from model reasoning to connecting dynamic supply and service networks, determining whether AI can truly enter transaction and fulfillment stages.Who's Affected- At RiskSoftware Engineering TeamsR&D organizations must adapt to process changes from writing code to building continuous Agent loops.
- BeneficiaryConsumer Internet PlatformsIntroducing AI-native service networks may restructure connections between humans and services, improving fulfillment efficiency.
What's NextSubsequent focus should be placed on technical architectures and data flywheel cases in consumer-level Agent deployments presented at QCon Shanghai 2026 to verify commercial viability.Importance 78/100