In many ways, generative AI has made finding information on the Internet a lot easier. Instead of spending time scrolling through Google search results, people can quickly get the answers they’re ...

Neo4j Aura Agent is an end-to-end platform for creating agents, connecting them to knowledge graphs, and deploying to ...

CMake 4.3 can import and export packages in the JSON-based CPS format. A new instrumentation feature aids in build profiling.

Finding a decent sample API for testing can really slow things down when you’re trying to build something. You know, waiting ...

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Based on vibe code, Atoms eliminates the need to manually set up project scaffolding and configure environments.

在大型语言模型（LLM）与企业级软件系统的集成进程中，上下文提供的摩擦力一直是限制人工智能应用深度的核心瓶颈。传统的架构范式高度依赖于静态的检索增强生成（RAG）管道或高度定制化、紧密耦合的应用程序接口（API）集成。这些传统方法不仅维护成本高昂，且难以适应底层数据模式的动态演进。模型上下文协议（Model Context Protocol, MCP）的出现从根本上改变了这一现状，它为人工智能系统 ...

最近半年，AI Agent的热度居高不下，但很多Java团队却陷入了一个尴尬的境地：Python生态的AI框架（LangChain、AutoGen）确实强大。 但要接入现有的Spring ...

专注AIGC领域的专业社区，关注微软&OpenAI、百度文心一言、讯飞星火等大语言模型（LLM）的发展和应用落地，聚焦LLM的市场研究和AIGC开发者生态，欢迎关注！前一篇文章我们已经探讨了Prompt（底层指令）、Skills（能力单元）和MCP（单体扩展坞）。Prompt、Skills、MCP：大模型上下文工程核心链路这三者共同构建了一个强大的 ...

The rise of AI-assisted software development has introduced a new bottleneck: code verification. While AI can generate code at unprecedented speeds, manually verifying that code for quality and ...

Learn how to automate policy enforcement for quantum-secure prompt engineering in MCP environments. Protect AI infrastructure with PQC and real-time threat detection.