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280 articles · Page 2 of 3
Java Architecture Diary
Java Architecture Diary
Sep 24, 2025 · Backend Development

Simplify AI-Powered HTTP Services with Spring’s New Service Registry

The article explains how Spring Framework 6’s @HttpExchange annotation and the new HTTP service registry introduced in Spring Framework 7 enable developers to declaratively define, configure, and manage AI‑driven HTTP clients as Spring beans, reducing boilerplate, supporting multiple providers, and integrating seamlessly with Spring Boot, Cloud, and Security.

AI integrationHTTP ClientService Registry
0 likes · 11 min read
Simplify AI-Powered HTTP Services with Spring’s New Service Registry
21CTO
21CTO
Sep 19, 2025 · Artificial Intelligence

What’s New in Visual Studio 2026? AI‑Powered IDE Features Unveiled

Microsoft’s Visual Studio 2026 Insiders preview brings AI deeply into the IDE, boosts performance, refreshes the UI, ensures extension compatibility, and replaces the old Preview channel with a monthly update stream for developers.

AI integrationIDEVisual Studio
0 likes · 3 min read
What’s New in Visual Studio 2026? AI‑Powered IDE Features Unveiled
21CTO
21CTO
Sep 17, 2025 · Backend Development

What’s New in Java 25? Simplified Syntax, AI Boosts, and Performance Gains

Oracle’s latest LTS release, JDK 25, introduces compact source files, streamlined module imports, enhanced constructors, memory‑efficient compact object headers, AI‑friendly features like pattern matching and the Vector API, plus performance and security improvements, while aiming to make Java more approachable for beginners.

AI integrationJDK 25Java
0 likes · 8 min read
What’s New in Java 25? Simplified Syntax, AI Boosts, and Performance Gains
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
Sep 16, 2025 · Industry Insights

Can Ontology Bridge the Gap Between Large Language Models and Executable Code?

This article analyzes how combining ontology with large language models can create a new intelligent application development paradigm that unites semantic understanding and executable behavior, proposing a three‑layer architecture, a Model Control Protocol, and real‑world case studies to illustrate its potential and challenges.

AI integrationknowledge representationlarge language models
0 likes · 22 min read
Can Ontology Bridge the Gap Between Large Language Models and Executable Code?
大转转FE
大转转FE
Sep 15, 2025 · Frontend Development

Top 5 Frontend Insights: AI Boosts, Performance Hacks, and Future Trends

This edition of the Zhuanzhuan Frontend Weekly curates five insightful articles covering AI‑empowered frontend development, log system performance optimization, multi‑agent planning enhancements, AI‑driven workflow improvements, and an exclusive interview with an OpenAI researcher, offering practical techniques and forward‑looking perspectives.

AI integrationPerformance Optimizationartificial-intelligence
0 likes · 4 min read
Top 5 Frontend Insights: AI Boosts, Performance Hacks, and Future Trends
DataFunTalk
DataFunTalk
Sep 10, 2025 · Artificial Intelligence

How Legora’s AI‑Powered Legal Workspace Is Disrupting Law Firms

In this interview, Legora’s 25‑year‑old founder Max Junestrand shares how his AI‑driven legal workspace, built on Word and a web app, scales massive queries, reshapes lawyer roles, avoids vendor lock‑in, and uses a top‑down sales strategy to win elite law firms worldwide.

AI integrationLegal AIproduct strategy
0 likes · 26 min read
How Legora’s AI‑Powered Legal Workspace Is Disrupting Law Firms
Sohu Smart Platform Tech Team
Sohu Smart Platform Tech Team
Sep 10, 2025 · Artificial Intelligence

How the Model Context Protocol (MCP) Bridges AI and Design Data

This article explains the Model Context Protocol (MCP) as an open standard for secure AI‑tool interaction, details its client‑server architecture, showcases a Figma‑focused MCP implementation with code examples, and discusses data simplification, transformers, and image handling that enable AI assistants to generate accurate front‑end code from design files.

AI integrationFigma dataMCP
0 likes · 15 min read
How the Model Context Protocol (MCP) Bridges AI and Design Data
AI Large Model Application Practice
AI Large Model Application Practice
Sep 8, 2025 · Artificial Intelligence

How to Build Reliable, High‑Performance AI Services in Enterprise Applications

When integrating generative AI into existing enterprise systems, architects must address reliability, performance, and security by applying patterns such as circuit breakers, retries with exponential backoff, asynchronous processing, caching, request hedging, input/output guards, sandboxes, and security proxies to ensure continuous, fast, and safe AI‑driven functionality.

AI integrationAsynchronousCaching
0 likes · 18 min read
How to Build Reliable, High‑Performance AI Services in Enterprise Applications
IT Services Circle
IT Services Circle
Sep 7, 2025 · Artificial Intelligence

Will AI-Powered Browsers Like Dia Overtake Chrome? Inside the $610M Acquisition

The article examines how The Browser Company's AI‑native browser Dia, recently bought by Atlassian for $610 million, aims to reshape web interaction amid Chrome’s antitrust win, detailing product features, market competition, and the broader race for the next AI‑driven internet entry point.

AI browsersAI integrationAtlassian
0 likes · 11 min read
Will AI-Powered Browsers Like Dia Overtake Chrome? Inside the $610M Acquisition
DataFunTalk
DataFunTalk
Sep 6, 2025 · Artificial Intelligence

Will AI Browsers Transform Workflows? Inside Atlassian’s $6.1B Deal and the Future

Atlassian’s $6.1 billion cash acquisition of The Browser Company aims to embed AI into its suite, sparking a debate on the viability of AI‑enhanced browsers like Dia, Perplexity Comet, Edge Copilot and Brave Leo, and exploring their potential to reshape productivity, privacy, and the future of web interaction.

AI browsersAI integrationAtlassian
0 likes · 10 min read
Will AI Browsers Transform Workflows? Inside Atlassian’s $6.1B Deal and the Future
Open Source Tech Hub
Open Source Tech Hub
Sep 5, 2025 · Backend Development

Why the New Official PHP MCP SDK Is a Game‑Changer for AI‑Powered Development

On September 5, 2025 the PHP Foundation announced the launch of an official PHP Model Context Protocol (MCP) SDK, detailing its purpose to standardize AI integration, its collaboration with existing community projects, key features like framework support and cross‑platform compatibility, and the early development milestones achieved.

AI integrationBackend DevelopmentMCP
0 likes · 6 min read
Why the New Official PHP MCP SDK Is a Game‑Changer for AI‑Powered Development
Architect
Architect
Sep 4, 2025 · Artificial Intelligence

Mastering Model Context Protocol (MCP) with Spring AI: From Theory to Hands‑On Implementation

This article explains the Model Context Protocol (MCP) introduced by Anthropic, compares it with Function Call, details its architecture and communication flow, and provides a step‑by‑step Spring AI guide—including server and client development, configuration, code examples, and testing—so developers can integrate AI models with back‑end services efficiently.

AI integrationMCPModel Context Protocol
0 likes · 23 min read
Mastering Model Context Protocol (MCP) with Spring AI: From Theory to Hands‑On Implementation
Alibaba Cloud Native
Alibaba Cloud Native
Aug 29, 2025 · Artificial Intelligence

Build AI Apps with Natural Language Using VibeCoding: A Hands‑On Guide

This article demonstrates how to create diverse AI applications—such as a children’s picture‑book generator, a guessing‑game app, and an enterprise website with knowledge‑base Q&A—entirely through natural‑language prompts in VibeCoding, covering the setup, step‑by‑step construction, code‑free publishing, integration of various AI services, deployment configurations, and practical tips for reliable development.

AI integrationCloud NativeNext.js
0 likes · 17 min read
Build AI Apps with Natural Language Using VibeCoding: A Hands‑On Guide
DevOps in Software Development
DevOps in Software Development
Aug 29, 2025 · Industry Insights

How the Third‑Generation Software Factory Is Redefining AI Development

This article analyses the evolution of software factories over five decades, defines the third‑generation model focused on data governance, AI integration, and high‑frequency iteration, presents an applicability assessment framework, compares AI‑centric and traditional software stacks, and illustrates the concepts with military and commercial case studies.

AI integrationSoftware factoryevaluation model
0 likes · 65 min read
How the Third‑Generation Software Factory Is Redefining AI Development
Instant Consumer Technology Team
Instant Consumer Technology Team
Aug 19, 2025 · Frontend Development

What’s New in Frontend This Week? Top Tools, AI Insights & Big‑Scale Practices

This weekly roundup curates the latest front‑end breakthroughs, from Vue 3 component libraries and large‑scale engineering quality platforms to AI‑driven operations, open‑source tools, and a new WebSocket debugging extension, offering developers fresh ideas and practical resources.

AI integrationPerformance Optimizationopen source
0 likes · 7 min read
What’s New in Frontend This Week? Top Tools, AI Insights & Big‑Scale Practices
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Aug 13, 2025 · Big Data

How ODPS Evolved Over 15 Years into a Next‑Gen AI‑Ready Big Data Platform

This article chronicles ODPS's 15‑year journey from its exploratory beginnings to a modern, AI‑enabled big data platform, detailing its four development phases, architectural layers, SQL engine upgrades, real‑time processing, lakehouse integration, and the new Data+AI capabilities offered by MaxCompute and DataWorks.

AI integrationBig DataData Warehouse
0 likes · 12 min read
How ODPS Evolved Over 15 Years into a Next‑Gen AI‑Ready Big Data Platform
Zhongtong Tech
Zhongtong Tech
Aug 13, 2025 · Artificial Intelligence

Unlock Seamless AI‑Tool Interaction with the Model Context Protocol (MCP)

The Model Context Protocol (MCP) is an open‑source interface that standardizes how large language models interact with external data sources and tools, offering a USB‑C‑like universal connector for AI applications, with built‑in session management, security, and flexible HTTP/SSE transport for seamless real‑world integration.

AI integrationData SecurityLLM
0 likes · 7 min read
Unlock Seamless AI‑Tool Interaction with the Model Context Protocol (MCP)
AI Info Trend
AI Info Trend
Aug 6, 2025 · Industry Insights

Why Companies Need a New Talent Strategy in Turbulent Times

The article analyzes BCG’s "Turbulent Times Call for a New People Strategy" report, outlining why economic volatility, geopolitical shifts, and rapid AI advances demand a resilient, future‑ready workforce and presenting a three‑pillar talent triangle with actionable guidance for CEOs and CHROs.

AI integrationBCG reportFuture Workforce
0 likes · 6 min read
Why Companies Need a New Talent Strategy in Turbulent Times
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Jul 24, 2025 · Cloud Computing

Why Serverless Is the Best Way to Deploy Enterprise MCP Servers

The article explains how the MCP protocol standardizes AI model interactions with external services, outlines the challenges of deploying MCP servers in enterprises, and demonstrates how Huawei Cloud FunctionGraph's serverless workflow offers a low‑cost, scalable, and secure solution with step‑by‑step deployment guidance.

AI integrationCloud FunctionsMCP
0 likes · 8 min read
Why Serverless Is the Best Way to Deploy Enterprise MCP Servers
StarRocks
StarRocks
Jul 23, 2025 · Big Data

How StarRocks Powers Intelligent BI with AI‑Native Lakehouse Architecture

This article explores the evolution of business intelligence toward intelligent BI, detailing traditional BI limitations, agile BI improvements, and how StarRocks' MPP lakehouse engine combined with large language models enables natural‑language analytics, real‑time performance, AI‑driven insights, and scalable enterprise deployments.

AI integrationIntelligent BILakehouse
0 likes · 19 min read
How StarRocks Powers Intelligent BI with AI‑Native Lakehouse Architecture
Aikesheng Open Source Community
Aikesheng Open Source Community
Jul 21, 2025 · Artificial Intelligence

Can Gemini AI Directly Query MySQL? A FastMCP Walkthrough

This article demonstrates how to set up a FastMCP server for MySQL, load the Sakila sample database, expose query tools to Gemini, experiment with different model versions and temperature settings, and observe the generated SQL queries and results, providing a practical guide for AI‑driven database access.

AI integrationGeminidatabase
0 likes · 16 min read
Can Gemini AI Directly Query MySQL? A FastMCP Walkthrough
Fighter's World
Fighter's World
Jul 19, 2025 · Industry Insights

Why Perplexity Is Betting on Its Own AI Browser, Comet

The article analyzes the emerging AI browser war, explaining why Perplexity sees building its own native browser Comet as essential for survival, detailing its strategic rationale, workflow‑centric business model, technical architecture, and the risks of relying on rival AI models.

AI browserAI integrationBrowser war
0 likes · 12 min read
Why Perplexity Is Betting on Its Own AI Browser, Comet
Sohu Tech Products
Sohu Tech Products
Jul 16, 2025 · Backend Development

How LLMs Transform Traffic Replay Testing for Backend Services

This article walks through the challenges of traditional traffic replay, explains the design of a conventional replay system, and then details a novel LLM‑powered solution that automates data preparation, script generation, validation, and continuous integration for backend service testing.

AI integrationLLM testingbackend automation
0 likes · 17 min read
How LLMs Transform Traffic Replay Testing for Backend Services
Liangxu Linux
Liangxu Linux
Jun 26, 2025 · Artificial Intelligence

Turn Any API into an AI‑Ready MCP Service with Just a Few Lines of Code

This article introduces three emerging open‑source MCP projects—FastAPI‑MCP for converting FastAPI endpoints, ACI.dev as a one‑click MCP orchestrator with 600+ tool connectors, and Dive, a cross‑platform desktop client—detailing their purpose, key features, usage steps, and GitHub repositories.

AI integrationAgent PlatformFastAPI
0 likes · 5 min read
Turn Any API into an AI‑Ready MCP Service with Just a Few Lines of Code
Sohu Tech Products
Sohu Tech Products
Jun 25, 2025 · Artificial Intelligence

Unlocking AI Data Access: How Model Context Protocol (MCP) Bridges LLMs with External Services

This article introduces the Model Context Protocol (MCP), explains its core advantages such as capability expansion, standardized interfaces, and low‑code integration, and demonstrates a practical Sentry‑MCP implementation with Python code, detailed functions, and visual results for AI‑driven data access.

AI integrationMCPModel Context Protocol
0 likes · 25 min read
Unlocking AI Data Access: How Model Context Protocol (MCP) Bridges LLMs with External Services
DeWu Technology
DeWu Technology
Jun 25, 2025 · Artificial Intelligence

Engineering Large Language Models with Spring AI: From Basics to RAG and Function Calls

This article walks through the fundamentals of large language models, their stateless and structured-output nature, explains how Spring‑AI provides a Java‑friendly API for model integration, covers RAG architecture, the MCP protocol, and demonstrates end‑to‑end code examples for building intelligent agents.

AI integrationFunction CallingJava
0 likes · 15 min read
Engineering Large Language Models with Spring AI: From Basics to RAG and Function Calls
Continuous Delivery 2.0
Continuous Delivery 2.0
Jun 25, 2025 · Artificial Intelligence

How Model Context Protocol Turns LLMs into Plug‑and‑Play AI Assistants

The Model Context Protocol (MCP) is an open, standardized adapter that lets large language models seamlessly connect to tools, data sources, and workflows, offering plug‑and‑play intelligence, cross‑platform compatibility, security, and modular extensibility for building real‑world AI applications.

AI integrationLLMMCP
0 likes · 11 min read
How Model Context Protocol Turns LLMs into Plug‑and‑Play AI Assistants
Instant Consumer Technology Team
Instant Consumer Technology Team
Jun 20, 2025 · Artificial Intelligence

How to Engineer an MCP Tool for Cursor AI: A Step‑by‑Step Guide

This article explains what the Model Context Protocol (MCP) is, outlines common pain points when using Cursor AI with MCP, analyzes the issues, and provides a detailed engineering solution—including SDK installation, configuration, tool definition, code structure, build steps, and deployment—culminating in a practical example and future outlook.

AI integrationMCPTypeScript
0 likes · 8 min read
How to Engineer an MCP Tool for Cursor AI: A Step‑by‑Step Guide
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 19, 2025 · Artificial Intelligence

What Is Model Context Protocol (MCP) and How It Empowers LLMs?

The article introduces Model Context Protocol (MCP), explains its architecture of Host, Client, and Server, describes its components—Resources, Tools, Prompts—and demonstrates practical integration with IDE plugins to extend LLM capabilities such as real‑time ticket queries, highlighting its significance for AI development.

AI ToolingAI integrationFunction Calling
0 likes · 11 min read
What Is Model Context Protocol (MCP) and How It Empowers LLMs?
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Jun 17, 2025 · Artificial Intelligence

How Model Context Protocol (MCP) Bridges AI Models and External Tools

The Model Context Protocol (MCP) is a standardized interface that enables seamless, secure communication between AI models and external tools or data sources, detailing its core components, architecture, server lifecycle, ecosystem, use cases, and associated security and privacy considerations.

AI integrationMCPecosystem
0 likes · 7 min read
How Model Context Protocol (MCP) Bridges AI Models and External Tools
DevOpsClub
DevOpsClub
Jun 17, 2025 · R&D Management

Boosting R&D Efficiency: ByteDance’s Platform, Practices, and AI‑Driven Future

This article outlines ByteDance’s four‑part framework for improving R&D efficiency—covering concepts, real‑world practices, future outlook, and underlying principles—while detailing the three‑layer model, the “golden triangle” of online, standardization, and digitization, and the roadmap toward platform engineering and AI‑augmented development.

AI integrationPlatform EngineeringR&D efficiency
0 likes · 33 min read
Boosting R&D Efficiency: ByteDance’s Platform, Practices, and AI‑Driven Future
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jun 13, 2025 · Backend Development

Turn a Spring Boot CRUD App into an AI‑Powered Service with Model Context Protocol

This guide shows how to integrate Spring Boot with the Model Context Protocol (MCP) to let large language models interact with existing services via natural language, covering entity definitions, Maven dependencies, configuration, tool annotations, and testing to create an AI‑enabled book management API.

AI integrationJavaMCP
0 likes · 18 min read
Turn a Spring Boot CRUD App into an AI‑Powered Service with Model Context Protocol
IT Services Circle
IT Services Circle
Jun 12, 2025 · Mobile Development

What’s New in iOS 26? Apple’s Biggest UI Overhaul and AI Features Unveiled at WWDC 2025

Apple’s WWDC 2025 revealed iOS 26 (formerly iOS 19) with a sweeping “Liquid Glass” UI redesign, AI‑powered photo tools, a dynamic lock‑screen clock, revamped camera and gallery, plus a new Foundation Models Framework for on‑device AI, while iPadOS gains multi‑window and file‑management features.

AI integrationApple WWDC 2025Foundation Models
0 likes · 7 min read
What’s New in iOS 26? Apple’s Biggest UI Overhaul and AI Features Unveiled at WWDC 2025
21CTO
21CTO
Jun 5, 2025 · Artificial Intelligence

What Is the Model Context Protocol (MCP) and Why It Matters for AI Integration

This article explains the Model Context Protocol (MCP), an open standard that lets AI models, tools, and agents share context and communicate through a central server, detailing its definition, key components, workflow, benefits for developers, and real‑world examples.

AI integrationInteroperabilityMCP
0 likes · 10 min read
What Is the Model Context Protocol (MCP) and Why It Matters for AI Integration
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 4, 2025 · Artificial Intelligence

Bridge Java and Python AI: Integrate MCP with Spring AI for Seamless Tool Calls

This article walks through how Java developers can connect to Python‑based AI services using the Model Context Protocol (MCP), compares STDIO and SSE transports, explains why Spring AI’s MCP support is limited, and shows a complete implementation with the raw MCP Java SDK and OpenAI client to invoke tools like Blender from Java code.

AI integrationJavaMCP
0 likes · 50 min read
Bridge Java and Python AI: Integrate MCP with Spring AI for Seamless Tool Calls
Instant Consumer Technology Team
Instant Consumer Technology Team
Jun 3, 2025 · Artificial Intelligence

What Is Model Context Protocol (MCP) and How Does It Transform AI Integration?

The Model Context Protocol (MCP) is an open, client‑server protocol introduced by Anthropic that standardizes how applications provide context to large language models, offering a USB‑C‑like interface for tools, data sources, and services to enable reliable, extensible, and secure AI interactions.

AI integrationClient-Server ArchitectureMCP
0 likes · 28 min read
What Is Model Context Protocol (MCP) and How Does It Transform AI Integration?
Architect
Architect
May 29, 2025 · Artificial Intelligence

Understanding Model Context Protocol (MCP): Architecture, Development Pitfalls, and AI Reflections

This article introduces the Model Context Protocol (MCP) as an open AI‑model integration standard, explains its client‑server architecture and components, shares practical Node/Python development pitfalls and debugging tips, discusses hallucination and error‑retry strategies, lists useful tools, and reflects on the broader implications of AI‑driven conversational services.

AI integrationAI servicesMCP
0 likes · 14 min read
Understanding Model Context Protocol (MCP): Architecture, Development Pitfalls, and AI Reflections
Huolala Tech
Huolala Tech
May 28, 2025 · Artificial Intelligence

How MCP (Model Context Protocol) Empowers AI Integration in Real-World Scenarios

Model Context Protocol (MCP) is an open standard that creates secure bidirectional links between data sources and AI tools, offering ecosystem plugins, cross‑model compatibility, and data‑privacy benefits; the article compares MCP with function calls and agents, outlines its architecture, and demonstrates practical implementations at Huolala.

AI integrationMCPPython
0 likes · 16 min read
How MCP (Model Context Protocol) Empowers AI Integration in Real-World Scenarios
Alibaba Cloud Developer
Alibaba Cloud Developer
May 27, 2025 · Artificial Intelligence

How to Build AI-Powered Java Apps with Spring AI and DeepSeek

This guide walks Java developers through integrating Spring AI with large‑model services such as DeepSeek, covering setup, API key configuration, code examples for synchronous and streaming calls, reactive implementation, monitoring with Actuator, and compatibility with OpenAI‑style APIs.

AI integrationDeepSeekJava
0 likes · 9 min read
How to Build AI-Powered Java Apps with Spring AI and DeepSeek
DataFunTalk
DataFunTalk
May 24, 2025 · Artificial Intelligence

Why Apple and WeChat’s AI Rollouts Are Slower Than Expected

The article analyses how privacy concerns, data‑security priorities and an application‑first strategy cause both Apple’s Apple Intelligence and WeChat’s AI features to lag behind hype, examining product decisions, technical constraints, and the potential future of AI agents within these ecosystems.

AI integrationApplePrivacy
0 likes · 13 min read
Why Apple and WeChat’s AI Rollouts Are Slower Than Expected
Tencent Cloud Developer
Tencent Cloud Developer
May 20, 2025 · Artificial Intelligence

Understanding Model Context Protocol (MCP): Architecture, Development Pitfalls, and AI Reflections

This article introduces the Model Context Protocol (MCP), explains its client‑server architecture, shares practical development experiences and debugging tips for Node.js and Python implementations, discusses common pitfalls such as environment setup, hallucinations, and error handling, and reflects on the broader implications of AI‑driven services.

AI integrationMCPModel Context Protocol
0 likes · 13 min read
Understanding Model Context Protocol (MCP): Architecture, Development Pitfalls, and AI Reflections
Instant Consumer Technology Team
Instant Consumer Technology Team
May 16, 2025 · Artificial Intelligence

Unlock AI Potential: Top Model Context Protocol (MCP) Servers You Should Know

This guide explains the Model Context Protocol (MCP) that lets AI models securely access files, databases, APIs, and other resources, and presents a curated list of standout MCP servers across categories such as aggregators, web automation, cloud platforms, finance, security, and more, helping developers enhance AI workflows.

AI integrationMCPModel Context Protocol
0 likes · 23 min read
Unlock AI Potential: Top Model Context Protocol (MCP) Servers You Should Know
Tencent Cloud Developer
Tencent Cloud Developer
May 13, 2025 · Artificial Intelligence

Function Calling and Model Context Protocol (MCP): Bridging Large Language Models with Real‑World Systems

The article reviews the shortcomings of traditional large language models, explains how function calling extends LLMs beyond pure text, introduces the Model Context Protocol (MCP) as a standardized USB‑C‑like interface for AI tools, and demonstrates a Python MCP example that integrates LLMs with Tencent Advertising APIs.

AI integrationAPIFunction Calling
0 likes · 16 min read
Function Calling and Model Context Protocol (MCP): Bridging Large Language Models with Real‑World Systems
Sohu Tech Products
Sohu Tech Products
May 7, 2025 · Mobile Development

Android 16 AppFunctions API: A New Mechanism for App Function Exposure and System Integration

Android 16 adds the AppFunctions API, letting apps expose specific functions through an AppFunctionService that the system indexes via AppSearch and invokes with AppFunctionManager, so AI assistants and system search can discover and execute actions like ordering pizza or booking flights while respecting required permissions and threading constraints.

AI integrationAndroid 16Android API
0 likes · 8 min read
Android 16 AppFunctions API: A New Mechanism for App Function Exposure and System Integration
DeWu Technology
DeWu Technology
May 7, 2025 · Backend Development

Building and Using a Model Context Protocol (MCP) Server with Spring AI

The article explains Anthropic’s Model Context Protocol, outlines its architecture, and provides a step‑by‑step guide to creating a Spring AI‑based MCP server in Java—including adding the starter, defining @Tool‑annotated services, packaging the jar, configuring the Cline plugin, and demonstrating advanced tools such as Elasticsearch queries.

AI integrationJavaMCP
0 likes · 10 min read
Building and Using a Model Context Protocol (MCP) Server with Spring AI
Architect
Architect
May 1, 2025 · Cloud Native

What’s New in Nacos 3.0? A Deep Dive into Its Cloud‑Native Enhancements

This article summarizes the key changes from the Nacos 3.0 beta to the official release, covering JDK and Spring Boot upgrades, new Admin APIs, default authentication, AI Model Content Protocol, unified namespaces, beta distributed lock, fuzzy listening, and native xDS support for cloud‑native microservice architectures.

AI integrationCloud NativeDistributed Lock
0 likes · 7 min read
What’s New in Nacos 3.0? A Deep Dive into Its Cloud‑Native Enhancements
Architecture & Thinking
Architecture & Thinking
Apr 30, 2025 · Artificial Intelligence

Unlocking AI Integration: How the Model Context Protocol (MCP) Bridges LLMs with External Tools

This article introduces the Model Context Protocol (MCP) released by Anthropic, explains its core features and client‑server architecture, walks through building a Go‑based MCP server and client with time, weather, and schedule tools, demonstrates testing with MCP Inspector, and highlights MCP's advantages and typical AI application scenarios.

AI integrationGoLLM
0 likes · 22 min read
Unlocking AI Integration: How the Model Context Protocol (MCP) Bridges LLMs with External Tools
DevOps
DevOps
Apr 29, 2025 · Artificial Intelligence

Model Context Protocol (MCP): End‑to‑End Tutorial with a Hands‑On News Retrieval Project

This tutorial explains the Model Context Protocol (MCP) for integrating large language models with external data sources, details its architecture, connection lifecycle, and core JSON‑RPC features, and provides a step‑by‑step Python implementation that fetches real‑time tech news and integrates with Claude Desktop.

AI integrationJSON-RPCMCP
0 likes · 9 min read
Model Context Protocol (MCP): End‑to‑End Tutorial with a Hands‑On News Retrieval Project
Efficient Ops
Efficient Ops
Apr 29, 2025 · Operations

How BizDevOps Standards Are Shaping China’s Cloud and AI Operations Landscape

This article outlines the evolution of BizDevOps standards in China, detailing recent policy mandates, the expansion of the DevOps maturity model to organization‑level practice, the AI‑driven SOMM operation assurance framework, and the integration of large‑model AI into R&D and operational workflows, highlighting their impact on enterprise efficiency and governance.

AI integrationBizDevOpsDevOps Standards
0 likes · 15 min read
How BizDevOps Standards Are Shaping China’s Cloud and AI Operations Landscape
Java Architecture Diary
Java Architecture Diary
Apr 27, 2025 · Cloud Native

What’s New in Nacos 3.0? Key Features, AI Integration, and Cloud‑Native Enhancements

Nacos 3.0 introduces major upgrades—including JDK 17 and Spring Boot 3.4.1 support, a new Admin API, default authentication, AI‑focused MCP, unified namespaces, beta distributed lock and fuzzy listening features, plus native xDS protocol support—positioning it as a powerful cloud‑native service discovery and configuration platform.

AI integrationCloud NativeDistributed Lock
0 likes · 6 min read
What’s New in Nacos 3.0? Key Features, AI Integration, and Cloud‑Native Enhancements
Architect
Architect
Apr 26, 2025 · Artificial Intelligence

Understanding and Implementing the Model Context Protocol (MCP) for AI Tool Integration

This article provides a comprehensive overview of the Model Context Protocol (MCP), explaining its origins, architecture, and how it standardises AI tool calling by enabling developers to build MCP servers and clients with TypeScript and Python, register resources, tools and prompts, and orchestrate model‑driven tool execution via JSON‑RPC.

AI integrationJSON-RPCMCP
0 likes · 16 min read
Understanding and Implementing the Model Context Protocol (MCP) for AI Tool Integration
Alibaba Cloud Native
Alibaba Cloud Native
Apr 24, 2025 · Artificial Intelligence

How MCP Bridges AI Data Silos with STDIO and SSE: Deep Technical Walkthrough

This article explores the Model Context Protocol (MCP) as a universal USB‑C‑like interface for AI, detailing its client‑server architecture, the STDIO and SSE transport mechanisms, a stdio‑to‑SSE proxy, serverless deployment on Function Compute, performance benchmarks, and practical tips for production use.

AI integrationFunction ComputeMCP
0 likes · 22 min read
How MCP Bridges AI Data Silos with STDIO and SSE: Deep Technical Walkthrough
Volcano Engine Developer Services
Volcano Engine Developer Services
Apr 22, 2025 · Artificial Intelligence

What Is Model Context Protocol (MCP) and How It Transforms LLM Applications

Model Context Protocol (MCP) is an open standard that standardizes how large language models interact with external tools and data, enabling seamless function calls, simplifying prompt engineering, and allowing developers to build modular AI applications without handling low‑level integration details.

AI integrationFunction CallingLLM
0 likes · 16 min read
What Is Model Context Protocol (MCP) and How It Transforms LLM Applications
Architect's Alchemy Furnace
Architect's Alchemy Furnace
Apr 21, 2025 · Artificial Intelligence

What Is the Model Context Protocol (MCP) and How Can It Supercharge Your AI Projects?

Discover the Model Context Protocol (MCP)—an open standard from Anthropic that unifies AI model access to external data sources, enabling real‑time search, tool integration, and bidirectional communication, with practical examples, setup guides, and code snippets for developers to quickly build AI‑driven applications.

AI integrationAgentMCP
0 likes · 12 min read
What Is the Model Context Protocol (MCP) and How Can It Supercharge Your AI Projects?
JD Tech
JD Tech
Apr 17, 2025 · Operations

Chaos Engineering: Principles, Core Steps, Tool Selection, and AI Integration

This article explains chaos engineering—its definition, core principles, experimental workflow, tool selection, AI‑driven enhancements, and practical case studies—providing a comprehensive guide for building resilient distributed systems across backend, cloud‑native, mobile, and AI‑enabled environments.

AI integrationFault InjectionOperations
0 likes · 26 min read
Chaos Engineering: Principles, Core Steps, Tool Selection, and AI Integration
Ops Development & AI Practice
Ops Development & AI Practice
Apr 15, 2025 · Frontend Development

How to Build an AI‑Powered VS Code Extension in Minutes

This guide walks you through the VS Code extension architecture and provides a step‑by‑step example that creates a simple AI text‑explanation plugin, covering preparation, project scaffolding, command registration, API integration, debugging, and best‑practice security tips.

AI integrationExtension DevelopmentLLM
0 likes · 12 min read
How to Build an AI‑Powered VS Code Extension in Minutes
Java Web Project
Java Web Project
Apr 15, 2025 · Backend Development

Transform a Spring Boot CRUD Service into an AI‑Powered MCP Endpoint

This guide walks through converting a traditional Spring Boot book‑management API into a Model Context Protocol (MCP) service that can be invoked via natural‑language prompts, covering dependency setup, proxy configuration, @Tool annotations, MCP server registration, chat client wiring, data initialization, and end‑to‑end testing.

AI integrationChatClientMCP
0 likes · 17 min read
Transform a Spring Boot CRUD Service into an AI‑Powered MCP Endpoint
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 11, 2025 · Artificial Intelligence

How to Build an AI‑Powered MCP Plugin for Automatic Code Generation

This article walks through the Model Context Protocol (MCP) as an AI‑centric "USB‑C" for tool integration, explains its core capabilities, shows how to register and call MCP tools using the TypeScript SDK, details the end‑to‑end workflow from ZIP file handling to React code generation, and shares practical implementation tips and future improvements.

AI integrationMCPTypeScript
0 likes · 23 min read
How to Build an AI‑Powered MCP Plugin for Automatic Code Generation
Tencent Technical Engineering
Tencent Technical Engineering
Apr 9, 2025 · Artificial Intelligence

Discussion on Model Context Protocol (MCP) and Its Potential Applications

The discussion introduces the Model Context Protocol (MCP) as an open‑source framework that repositions AI from a peripheral add‑on to the central “brain” of software, allowing AI‑first integration with business APIs, reducing rewrites, unifying user interfaces, and promising a rapid open‑source surge that could reshape development, production, and decentralized ecosystems.

AI integrationMCPModel Context Protocol
0 likes · 7 min read
Discussion on Model Context Protocol (MCP) and Its Potential Applications
Architect
Architect
Apr 8, 2025 · Backend Development

Turn a Spring Boot CRUD Service into an AI‑Powered MCP Endpoint

This guide shows how to convert a traditional Spring Boot book‑management service into a Model Context Protocol (MCP) server that lets large language models interact with the service via natural‑language commands, covering dependency setup, MCP configuration, tool annotations, chat client integration, and end‑to‑end testing.

AI integrationBackend DevelopmentModel Context Protocol
0 likes · 18 min read
Turn a Spring Boot CRUD Service into an AI‑Powered MCP Endpoint
Top Architect
Top Architect
Apr 7, 2025 · Backend Development

Integrating Spring Boot Services with Model Context Protocol (MCP) for AI‑Driven Book Management

This article demonstrates how to convert a traditional Spring Boot book‑management service into an AI‑enabled MCP server, covering dependency setup, entity definition, tool annotations, MCP configuration, chat client integration, data initialization, and testing, with complete code examples.

AI integrationBackend DevelopmentChatClient
0 likes · 17 min read
Integrating Spring Boot Services with Model Context Protocol (MCP) for AI‑Driven Book Management
Java Architect Essentials
Java Architect Essentials
Apr 2, 2025 · Backend Development

Integrating DeepSeek Large Language Model with Spring Boot to Build an AI Chat Application

This guide demonstrates how to create a Spring Boot backend that integrates DeepSeek's large language model via the Spring AI OpenAI starter, covering project setup, dependency configuration, API key management, and a sample controller that provides AI-powered chat responses such as weather forecasts.

AI integrationChatbotDeepSeek
0 likes · 8 min read
Integrating DeepSeek Large Language Model with Spring Boot to Build an AI Chat Application
Baobao Algorithm Notes
Baobao Algorithm Notes
Apr 2, 2025 · Industry Insights

Building AI‑Native Teams: Turning AI Agents into Reliable Digital Employees

This article analyses why current AI agents fall short of being true digital employees, identifies four major obstacles—undocumented knowledge, GUI‑only tools, lack of isolated test environments, and limited memory and initiative—and proposes a comprehensive, six‑step technical and cultural roadmap for creating AI‑native teams that treat AI as a collaborative team member.

AI integrationDigital EmployeeOperations
0 likes · 61 min read
Building AI‑Native Teams: Turning AI Agents into Reliable Digital Employees
Spring Full-Stack Practical Cases
Spring Full-Stack Practical Cases
Apr 1, 2025 · Backend Development

Boost Spring AI with Tool Calls: Real‑World Spring Boot 3 Examples

This article explains how Spring AI's tool‑calling feature extends large language models by integrating custom Java tools for information retrieval and operations, and provides step‑by‑step Spring Boot 3 examples—including date‑time and weather tools—complete with configuration, code snippets, and execution results.

AI integrationJavaSpring AI
0 likes · 9 min read
Boost Spring AI with Tool Calls: Real‑World Spring Boot 3 Examples
Efficient Ops
Efficient Ops
Mar 31, 2025 · Artificial Intelligence

How the Model Context Protocol (MCP) Is Revolutionizing AI Operations

The Model Context Protocol (MCP) lets large language models safely and directly access diverse data sources and tools, breaking data silos and enabling seamless AI‑driven automation across development, operations, and multi‑agent workflows.

AI integrationAutomationLLM
0 likes · 5 min read
How the Model Context Protocol (MCP) Is Revolutionizing AI Operations
Full-Stack Cultivation Path
Full-Stack Cultivation Path
Mar 27, 2025 · Frontend Development

How Vite + AI Can Boost Development Efficiency by 200%

The article explains how Vite’s native ES‑module architecture and the Model Context Protocol (MCP) enable deep AI integration via the vite‑plugin‑vue‑mcp, allowing tools like Cursor to access component trees, state and routing, which the author claims can raise development speed by up to 200% and cut bugs by 65%.

AI integrationCursorFrontend tooling
0 likes · 6 min read
How Vite + AI Can Boost Development Efficiency by 200%
DevOps
DevOps
Mar 26, 2025 · Artificial Intelligence

Introducing Model Context Protocol (MCP): An Open Standard for LLM Integration with Data Sources and Tools

The article explains Anthropic's open Model Context Protocol (MCP), detailing its client‑server architecture, resource and prompt definitions, tool discovery and execution, sampling workflow, security features, and provides a complete Python example that demonstrates building, running, and testing an MCP server and client for real‑time data retrieval.

AI integrationLLMMCP
0 likes · 12 min read
Introducing Model Context Protocol (MCP): An Open Standard for LLM Integration with Data Sources and Tools
Eric Tech Circle
Eric Tech Circle
Mar 25, 2025 · Artificial Intelligence

How MCP Turns AI into a USB‑C Interface: Architecture, Use Cases, and Future

This article provides an in‑depth technical overview of the Model Context Protocol (MCP), explaining its core concepts, client‑server architecture, communication layers, key benefits such as uniformity and security, and a wide range of real‑world application scenarios from code collaboration to third‑party API integration.

AI integrationMCParchitecture
0 likes · 10 min read
How MCP Turns AI into a USB‑C Interface: Architecture, Use Cases, and Future
Eric Tech Circle
Eric Tech Circle
Mar 21, 2025 · Operations

Boost Your Git Workflow with AI: 5 Practical Scenarios Using Cursor

This guide demonstrates how to integrate the Cursor AI editor with Git to automate commit message generation, streamline branch management, perform intelligent code reviews, resolve merge conflicts, and generate commands, offering concrete prompts, shortcuts, and visual examples that enhance version‑control efficiency for development teams.

AI integrationCursorGit
0 likes · 8 min read
Boost Your Git Workflow with AI: 5 Practical Scenarios Using Cursor
Programmer Xu Shu
Programmer Xu Shu
Mar 17, 2025 · Backend Development

From CRUD to AI: How Java Backend Developers Can Future‑Proof Their Careers

Amid the AI wave, Java backend developers focused solely on CRUD face replacement by automation, but by deepening business expertise, enhancing soft skills, gaining project experience, and expanding into AI and new technologies, they can transform their roles and stay valuable in the evolving software industry.

AI integrationCareer AdviceJava
0 likes · 8 min read
From CRUD to AI: How Java Backend Developers Can Future‑Proof Their Careers
Selected Java Interview Questions
Selected Java Interview Questions
Mar 15, 2025 · Artificial Intelligence

DeepSeek4j 1.4: Java Spring Boot Integration for DeepSeek with Full Chain‑of‑Thought and Streaming Support

DeepSeek4j 1.4 introduces a Java‑centric, Spring Boot‑compatible framework that fully preserves DeepSeek's chain‑of‑thought capabilities, adds reactive streaming, and provides simple one‑line API integration, addressing previous limitations in mainstream frameworks and offering ready‑to‑use configuration and code examples.

AI integrationChain-of-ThoughtDeepSeek
0 likes · 5 min read
DeepSeek4j 1.4: Java Spring Boot Integration for DeepSeek with Full Chain‑of‑Thought and Streaming Support
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Mar 15, 2025 · Artificial Intelligence

Integrating DeepSeek Large Model with SpringAI in Java Applications

This article provides a concise guide on using SpringAI to connect Java applications with the domestic large‑language model DeepSeek, covering design philosophy, configuration, code examples for chat, streaming, structured output, security hardening, performance tuning, and production best practices.

AI integrationBackend DevelopmentChatClient
0 likes · 9 min read
Integrating DeepSeek Large Model with SpringAI in Java Applications
Java Architect Essentials
Java Architect Essentials
Mar 7, 2025 · Artificial Intelligence

Introducing DeepSeek4j 1.4: A Java Spring Boot Integration for DeepSeek AI with Chain‑of‑Thought and Streaming Support

The article introduces DeepSeek4j 1.4, a Java Spring Boot library that overcomes existing framework limitations by preserving DeepSeek's chain‑of‑thought capabilities, adding full reactive streaming, and providing a simple one‑line API along with quick‑start instructions and code examples.

AI integrationChain-of-ThoughtDeepSeek
0 likes · 5 min read
Introducing DeepSeek4j 1.4: A Java Spring Boot Integration for DeepSeek AI with Chain‑of‑Thought and Streaming Support
Architecture Breakthrough
Architecture Breakthrough
Mar 4, 2025 · Product Management

How Business Knowledge Can Future‑Proof Your Development Career in the AI Age

The article explains why developers must combine deep business understanding with AI tools, outlines a three‑layer domain model (core, generic, supporting), debunks common misconceptions, and provides a step‑by‑step methodology for mastering banking business concepts to boost ROI and career resilience.

AI integrationDomain-Driven Designprocess improvement
0 likes · 21 min read
How Business Knowledge Can Future‑Proof Your Development Career in the AI Age
JD Tech Talk
JD Tech Talk
Mar 4, 2025 · Artificial Intelligence

Building a Local Personal Knowledge Base with Ollama, DeepSeek‑R1, AnythingLLM and Integrating Continue into VSCode

This guide walks through setting up a local personal knowledge base using Ollama, DeepSeek‑R1, and AnythingLLM, and demonstrates how to integrate the Continue AI code assistant into VSCode, covering installation, configuration, and usage tips for efficient, secure development.

AI integrationAnythingLLMDeepSeek
0 likes · 10 min read
Building a Local Personal Knowledge Base with Ollama, DeepSeek‑R1, AnythingLLM and Integrating Continue into VSCode
macrozheng
macrozheng
Mar 3, 2025 · Artificial Intelligence

Integrate DeepSeek with Spring AI: Step‑by‑Step Spring Boot Guide

This tutorial walks you through integrating DeepSeek via Spring AI into a Spring Boot project, covering Spring AI basics, obtaining an API key, adding dependencies and configuration, implementing controller endpoints, testing with Postman, and accessing the full source code.

AI integrationChatbotDeepSeek
0 likes · 7 min read
Integrate DeepSeek with Spring AI: Step‑by‑Step Spring Boot Guide
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Feb 28, 2025 · Artificial Intelligence

Boost Elasticsearch Semantic Search with Alibaba Cloud AI: Step‑by‑Step Guide

This tutorial walks through configuring Alibaba Cloud AI services, creating sparse embedding and rerank endpoints, setting up Elasticsearch mappings, indexing Agatha Christie data, and combining semantic search, reranking, and completion APIs to achieve more relevant search results and a RAG‑style answer generation pipeline.

AI integrationAlibaba Cloud AICompletion
0 likes · 19 min read
Boost Elasticsearch Semantic Search with Alibaba Cloud AI: Step‑by‑Step Guide
Java Web Project
Java Web Project
Feb 25, 2025 · Artificial Intelligence

How DeepSeek4j 1.4 Solves Spring AI’s Chain‑of‑Thought and Streaming Gaps

The article explains why existing Java AI frameworks struggle with DeepSeek R1’s chain‑of‑thought and streaming features, introduces DeepSeek4j 1.4 as a targeted solution, details its core capabilities, and provides a step‑by‑step guide to integrate it with Spring Boot and Project Reactor.

AI integrationChain-of-ThoughtDeepSeek
0 likes · 5 min read
How DeepSeek4j 1.4 Solves Spring AI’s Chain‑of‑Thought and Streaming Gaps
Ops Development & AI Practice
Ops Development & AI Practice
Feb 22, 2025 · Industry Insights

How Trae’s AI‑Powered IDE Stacks Up Against Cursor: Features, Innovations & Gaps

Trae, a new AI‑driven IDE, offers a dark‑theme interface, integrated Chat Builder Beta, version‑control cues, and Claude‑3‑Sonnet support, and while it mirrors many Cursor features such as smart completion and chat, it adds educational prompts and context‑enhanced inputs, though it still faces WSL compatibility and beta stability issues.

AI IDEAI integrationCursor
0 likes · 10 min read
How Trae’s AI‑Powered IDE Stacks Up Against Cursor: Features, Innovations & Gaps