Chinese Tech — Week of 2026-05-22 to 2026-05-29#
Week in Review#
The maturation of Agentic AI is fundamentally shaking up both software engineering workflows and underlying computing architectures, sparking an arms race in domestic tech infrastructure. Meanwhile, geopolitical decoupling continues to drive aggressive indigenous innovation, most notably characterized by Huawei’s new semiconductor scaling laws and BYD’s unprecedented liability guarantees for autonomous driving.
Engineering & Dev#
The rapid adoption of Agentic AI is exposing cracks in traditional ecosystems and workflows. Microsoft internally banned Claude Code out of fear of Anthropic’s dominance and soaring API costs, forcing engineers back to GitHub Copilot to artificially protect its ecosystem, while a Claude-generated PR for a Node.js virtual file system sparked intense debate over the safety of committing AI code to core infrastructure. To handle the complex orchestration, memory retrieval, and tool execution demands of these agents, Huawei is pivoting back to CPUs, positioning its Kunpeng chips for Agentic workflows while utilizing Ascend for raw inference. Domestic models are also making serious strides in this arena; Alibaba’s Qwen3.7-Max excelled in “Vibe Coding” tests, successfully generating complex web apps from single prompts and beating global models like GPT-5.5, while ModelBest released ForgeTrain, the first production-grade training framework entirely written by AI without human intervention. Finally, to solve the “Babel” of fragmented enterprise agent data, Shushi Tech and others are adopting Snowflake’s OSI standard, allowing diverse AI agents to natively query unified business metrics without hallucinating logic.