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On April 24th, Tencent Cloud announced an upgrade to its CodeBuddy code assistant, introducing the Craft software development AI agent. This innovative tool evolves AI programming from 'code completion' to 'project delivery,' significantly boosting software development efficiency. According to Tencent Cloud, developers using Craft see an average coding time reduction of over 40%, with AI-generated code accounting for over 40% of their projects, resulting in a more than 16% increase in development efficiency.

A recent technological launch event has garnered significant attention within the cement and building materials industry. Hailing Group, a leading domestic cement manufacturer, partnered with tech giant Huawei to unveil the industry's first AI large model. This is not merely a simple technological application, but a profound revolution of traditional production methods. This AI large model is reportedly built upon the powerful Huawei Cloud PanGu series of large models. It is not theoretical; it is deeply integrated into real-world cement production scenarios, comprehensively covering aspects such as quality control.

Aethir, a decentralized GPU cloud computing provider, today announced the launch of an industry alliance called "AI Unbundled" to advance the Web3 artificial intelligence ecosystem. This initiative brings together leading organizations including 0G Labs, Biconomy, Polyhedra, Oasis Protocol Foundation, ChainGPT, IoTeX, iExec, Geodnet, Flock.io, and Alpha Ne.

Kingsoft Cloud announced that its StarStream training and inference platform has fully integrated with Zhipu's GLM series inference models, becoming one of the first platforms to integrate this series. This move marks Kingsoft Cloud's further expansion in the AI field, providing users with more efficient, intelligent, and cost-effective model services.

In Chengdu's sunny April, a significant breakthrough in China's AI technology development was quietly unveiled. The 2025 Tencent Global Digital Ecosystem Summit Chengdu Conference grandly opened on April 18th, with Wang Wei, Tencent Cloud Intelligent Regional Solution Director, delivering exciting news: Tencent Cloud's large model knowledge engine has become the industry's first platform to officially integrate with MCP. This technological breakthrough means developers and enterprise users will enjoy an unprecedentedly convenient experience when building AI applications. Through Tencent Cloud's large model knowledge engine, users can easily access...

At the grand opening of the 2025 Tencent Global Digital Ecology Conference in Chengdu, Tencent announced its latest enterprise-grade AI application – the Tencent Cloud Large Model Knowledge Engine. This innovative tool aims to provide businesses with more flexible atomic capabilities and application development models, helping them build their own knowledge management systems. The Tencent Cloud Large Model Knowledge Engine has reportedly been successfully implemented in various sectors, including finance, energy, transportation, retail, healthcare, government, education, and tourism. Numerous companies, such as Sichuan Wen...

At the recently concluded 2025 Tencent Global Digital Ecosystem Summit Chengdu Forum, Tencent Cloud Vice President Wang Qi delivered a compelling speech on how enterprises can effectively implement Artificial Intelligence (AI) applications. He highlighted that combining large models with knowledge bases is currently the optimal path for enterprises to achieve AI implementation. Wang Qi emphasized that Tencent Cloud adheres to a "core technology self-research + embracing advanced open source" multi-model strategy, a philosophy that permeates Tencent's comprehensive layout across underlying computing power, foundational large models, model development platforms, and intelligent applications. Image source note:

The fifth China International Consumer Products Expo recently opened in Haikou. At this expo, Mogo AI, in collaboration with the Hainan Provincial Department of Industry and Information Technology, the Haikou Municipal People's Government, and Hainan Expressway Company, launched a striking demonstration project. The core of this project is the application of AI large models to smart transportation, showcasing a "full-scenario, multi-functional" vehicle-road-cloud integrated solution. Image Note: Image generated by AI, image authorized by Midjourney in Haikou.

At the 8th Digital China Summit, Alibaba Cloud unveiled its new AIStack large model appliance, marking another significant advancement in its enterprise-grade AI solutions. This appliance integrates hardware and software for deep optimization, aiming to provide lightweight and cost-effective intelligent services to various industries including government, energy, and healthcare. The launch of AIStack is Alibaba Cloud's positive response to market demand for efficient and economical AI services. Designed specifically for enterprises, AIStack...

ModelScope, Alibaba Cloud's AI open-source community, has officially launched its new MCP (Model Context Protocol) Square, becoming the largest Chinese MCP community. The platform features over a thousand popular MCP services and boasts exclusive premieres of new MCP services from Alipay, MiniMax, and others. It provides AI developers with abundant resources and tools, fostering innovation and the practical application of AI.

Tessell, a startup focused on multi-cloud Database-as-a-Service (DBaaS), has secured $60 million in funding, led by WestBridge Capital. This funding will be used to expand market reach and launch an AI-powered conversational database management service. With data becoming increasingly critical across industries, many businesses face challenges in efficiently managing and storing it. Traditional database solutions often lack flexibility, and many existing management tools fall short.

Google Cloud has announced the launch of its new open-source Agent2Agent (A2A) protocol, designed to break down barriers between AI agents. This allows for seamless collaboration and information exchange between AI agents built by different vendors and using different frameworks. This initiative marks a significant step towards a more open, efficient, and intelligent AI landscape. Enabling free-flowing communication between agents is crucial as enterprise adoption of autonomous AI agents grows. The A2A protocol addresses the challenge of coordinating these agents to work together in complex enterprise environments, handling cross-system processes.