This article introduces Alibaba Dragonwell 21 AI Extension—a JVM optimized for AI workloads.
This article introduces how AgentScope leverages the A2A protocol and Nacos Registry to enable cross-language, cross-framework agent interoperability and unified service governance.
This article explains Android crash capture for Java and native code, and presents a closed-loop framework from detection to root cause identification...
This article introduces an AI-powered milk tea shop built with AgentScope Java, showcasing multi-agent collaboration, RAG, long-term memory, and enterprise integrations like Nacos and MCP.
This article introduces an AI-powered Werewolf game built with AgentScope Java, where agents simulate human-like reasoning, deception, and collaboration—with seamless human-AI gameplay.
This article introduces the Java memory diagnostics feature. It helps quickly identify the root causes of abnormal memory usage in Java applications from the application and OS perspectives.
This article introduces AgentScope Java 1.0, a framework that enables Java developers to easily build enterprise-grade agentic applications.
This article presents AgentScope Java, a ReAct-powered framework for scalable, transparent AI agent development.
This article describes how to develop a Java AI application in 5 minutes using Spring AI and Alibaba Cloud's Tongyi series of large models.
Spring-ai-alibaba-nl2sql is an important open-source attempt of XiYan GBI product in the data Q&A field, focusing on the core capabilities opened in the NL2SQL scenario.
The release of Spring AI Alibaba 1.0 has introduced a production-ready enterprise-level framework and solution for Java agent development, helping organizations enter a new phase of agent development.
This article introduces how Java and Go developers can contribute to the open-source AI capabilities of the Higress cloud-native API gateway, leveraging Alibaba Cloud's big data and AI resources.
The author has compiled relevant concepts and tool classes, hoping to help everyone use time more gracefully in the process of code development.
This article introduces the integration of local file data with Spring AI applications using the Model Context Protocol (MCP) to provide context to large language models (LLMs).
This article aims to help developers quickly master and apply Spring AI Alibaba to improve the efficiency and security of Java-based large model application development.
This article describes the application of the GraalVM static compilation technology in cloud-native environments.
This article discusses what unit testing is, the value of unit testing, the principles of adequate unit testing, and how to write an adequate unit test.
This article introduces the new advancements and technical details of Alibaba Cloud in the Java-virtual-thread project.
This article describes how to use the Cloud Development Kit provided by Alibaba Cloud ROS to deploy 2048 games to the cloud.
This article explores the Asset module by walking through a case study of deploying website content to the cloud.
