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AI Agents

1861 articles · Page 16 of 19
Fun with Large Models
Fun with Large Models
Dec 17, 2025 · Artificial Intelligence

Quick Guide to LangGraph 1.0: Core Concepts, Nodes, and Edges

This article introduces LangGraph 1.0 as a programming‑language‑style framework for AI agents, explains its core abstractions—State, Node, Edge, Reducer, and Human‑in‑the‑Loop—shows how to define state and node functions, builds simple and parallel graphs with static, conditional, and MapReduce edges, and demonstrates conflict‑resolution using built‑in and custom reducers.

AI AgentsGraph workflowLangChain
0 likes · 17 min read
Quick Guide to LangGraph 1.0: Core Concepts, Nodes, and Edges
PaperAgent
PaperAgent
Dec 17, 2025 · Artificial Intelligence

Unlocking Agent Memory: A Comprehensive Survey of Forms, Functions, and Dynamics

This article surveys over 200 recent papers on AI agent memory, introducing a three‑dimensional framework of form, function, and dynamics, classifying memory into token‑level, parametric, and latent types, outlining their roles, lifecycle operations, benchmark datasets, open‑source frameworks, and seven emerging research directions.

AI AgentsKnowledge ManagementLLM
0 likes · 6 min read
Unlocking Agent Memory: A Comprehensive Survey of Forms, Functions, and Dynamics
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Dec 16, 2025 · Artificial Intelligence

Why Anthropic’s Shift Back to Code Execution Validates the AiPy Python‑Use Paradigm

The article examines Anthropic’s evolution from MCP to Programmatic Tool Calling and its recent return to code execution, contrasting it with the author’s Python‑use (AiPy) paradigm, and analyzes the trade‑offs, reliability versus creativity, and implementation details such as Function Calling, CodeAct, and plugin support.

AI AgentsAnthropicCodeAct
0 likes · 17 min read
Why Anthropic’s Shift Back to Code Execution Validates the AiPy Python‑Use Paradigm
AI Insight Log
AI Insight Log
Dec 16, 2025 · Artificial Intelligence

Stop Building New Agents—Leverage Simple “Skill” Folders for Real AI Value

The article argues that instead of crafting ever‑more complex AI agents, developers should treat agents as generic containers and equip them with modular “Skills”—simple folder‑based packages of scripts and documentation—that provide domain expertise, reduce context overload, and democratize AI development for non‑technical users.

AI AgentsAnthropicKnowledge assetization
0 likes · 10 min read
Stop Building New Agents—Leverage Simple “Skill” Folders for Real AI Value
Tencent Technical Engineering
Tencent Technical Engineering
Dec 15, 2025 · Artificial Intelligence

How to Add Human‑in‑the‑Loop Interrupts to LangGraph Agents for Safe, Controllable AI Workflows

This guide explains the concept of human‑in‑the‑loop (HITL) interruptions in LangGraph, outlines the core mechanisms such as persistent state and dynamic/static interrupts, and provides detailed Python examples for four classic patterns—approval/rejection, state editing, tool‑call review, and input validation—plus advanced topics like parallel interrupts and MCP‑based tool integration.

AI AgentsLangGraphMCP
0 likes · 35 min read
How to Add Human‑in‑the‑Loop Interrupts to LangGraph Agents for Safe, Controllable AI Workflows
21CTO
21CTO
Dec 14, 2025 · Frontend Development

What’s New in VS Code 1.107? AI Agent HQ, TypeScript 7 Preview, and More

VS Code 1.107 introduces Agent HQ for managing multiple AI agents, a preview of TypeScript 7 with a Go‑based compiler, the removal of IntelliCode in favor of GitHub Copilot, new AI‑agent capabilities, a controversial YOLO security option, and several other enhancements aimed at boosting developer productivity.

AI AgentsCopilotEditor updates
0 likes · 7 min read
What’s New in VS Code 1.107? AI Agent HQ, TypeScript 7 Preview, and More
Architect's Alchemy Furnace
Architect's Alchemy Furnace
Dec 13, 2025 · Artificial Intelligence

Explore 100+ Open‑Source LLM Apps and How to Run Them Locally

This guide presents a curated collection of over a hundred open‑source large language model applications—including AI agents, RAG pipelines, and domain‑specific tools—explains their categories, showcases example projects, and provides step‑by‑step instructions to clone and run them on your own machine.

AI AgentsGitHubLLM
0 likes · 8 min read
Explore 100+ Open‑Source LLM Apps and How to Run Them Locally
Tencent Cloud Middleware
Tencent Cloud Middleware
Dec 12, 2025 · Artificial Intelligence

How A2A over MQTT Transforms AI Agent Collaboration

This article explains the challenges of traditional point‑to‑point AI agent communication, introduces the A2A protocol and its limitations, and details how combining A2A with MQTT via Tencent Cloud TDMQ creates a dynamic, loosely‑coupled, and scalable solution with practical SDK examples and real‑world case studies.

A2A protocolAI AgentsMQTT
0 likes · 16 min read
How A2A over MQTT Transforms AI Agent Collaboration
Amazon Cloud Developers
Amazon Cloud Developers
Dec 12, 2025 · Artificial Intelligence

Breaking Agent Silos: AgentCore Runtime Now Supports the A2A Protocol

Amazon Bedrock AgentCore Runtime has added native support for the Agent‑to‑Agent (A2A) protocol, enabling AI agents built with different frameworks to discover each other, share capabilities, and collaborate securely across cloud and edge environments, with a step‑by‑step guide and a real‑world monitoring use case.

A2A protocolAI AgentsAgentCore Runtime
0 likes · 21 min read
Breaking Agent Silos: AgentCore Runtime Now Supports the A2A Protocol
Smart Era Software Development
Smart Era Software Development
Dec 11, 2025 · Artificial Intelligence

From Scale Race to Efficiency Breakthrough: How Architecture Innovation Will Shape 2026 Large Models and Agents

The article analyzes how architecture innovation—through sparse, multimodal, and dynamic designs—will break the compute bottleneck of large models, reshape pre‑training hierarchies, and drive three distinct 2026 pathways for both model efficiency and agent competition.

2026 predictionsAI AgentsLarge Language Models
0 likes · 12 min read
From Scale Race to Efficiency Breakthrough: How Architecture Innovation Will Shape 2026 Large Models and Agents
PaperAgent
PaperAgent
Dec 10, 2025 · Artificial Intelligence

How AI Agents Like UFO, Mobile-Agent, and UI-TARS Are Shaping 2025 Smartphones

The article examines the underlying GUI‑Agent technologies behind the 2025 “Doubao” smartphone, comparing Microsoft’s UFO series, Alibaba’s Mobile‑Agent v2/v3, and ByteDance’s UI‑TARS, detailing their model foundations, input modalities, action spaces, planning mechanisms, learning strategies, open‑source status, and multi‑agent frameworks.

AI AgentsGUI automationcomparative analysis
0 likes · 8 min read
How AI Agents Like UFO, Mobile-Agent, and UI-TARS Are Shaping 2025 Smartphones
Frontend AI Walk
Frontend AI Walk
Dec 10, 2025 · Frontend Development

Understanding AI Agent Skills: A Frontend Developer’s Essential Guide

The article explains what AI "Skills" are, how modern AI agents like Cursor, Qcoder, and Antigravity combine abilities and tools to perform file operations, terminal commands, browser interactions, and visual tasks, and demonstrates their use through concrete frontend development scenarios.

AI AgentsAutomationbrowser testing
0 likes · 7 min read
Understanding AI Agent Skills: A Frontend Developer’s Essential Guide
AI Info Trend
AI Info Trend
Dec 10, 2025 · Artificial Intelligence

How AI Agents Are Evolving from Chatbots to Decision Partners

An in‑depth review of the WEF‑Capgemini 2025 whitepaper reveals how AI agents are transitioning from simple chatbots to autonomous decision‑making partners, outlining a three‑layer architecture, new communication protocols, governance challenges, risk assessment frameworks, and practical steps for enterprises to deploy trustworthy agents.

AI AgentsEnterprise AIGovernance
0 likes · 8 min read
How AI Agents Are Evolving from Chatbots to Decision Partners
AI Insight Log
AI Insight Log
Dec 10, 2025 · Industry Insights

Anthropic Donates MCP to Linux Foundation—OpenAI, Google Join the New AI Standard

Anthropic has transferred its Model Context Protocol to the Linux Foundation, creating the Agentic AI Foundation with co‑founders Anthropic, Block and OpenAI and backing from Google, Microsoft, AWS and others, turning MCP into a neutral, open‑source standard that lets any AI model plug into data sources like a USB‑C connector.

AI AgentsAI standardsAgentic AI Foundation
0 likes · 4 min read
Anthropic Donates MCP to Linux Foundation—OpenAI, Google Join the New AI Standard
Design Hub
Design Hub
Dec 9, 2025 · Artificial Intelligence

AI Frontiers: GLM‑4.6V, AutoGLM 2.0 & RealGen for Designers & Developers

The article reviews three recent AI breakthroughs—GLM‑4.6V’s multimodal large‑model with 128K context and native function calling, AutoGLM 2.0’s open‑source mobile‑operating AI agent, and RealGen’s detector‑rewarded image generator that achieves a 50.15% realism win rate—highlighting how they expand toolkits for designers and developers.

AI AgentsAutoGLMGLM-4.6V
0 likes · 11 min read
AI Frontiers: GLM‑4.6V, AutoGLM 2.0 & RealGen for Designers & Developers
Alibaba Middleware
Alibaba Middleware
Dec 9, 2025 · Artificial Intelligence

AgentScope Java 1.0 Empowers Java Developers to Build Enterprise‑Grade Agentic Apps

AgentScope Java 1.0 launches with a ReAct‑based AI agent framework that adds real‑time intervention, efficient tool management, sandbox security, high‑performance native optimisations, and seamless enterprise integration, enabling Java developers to create production‑ready, multimodal agent applications.

AI AgentsAgentScopeEnterprise AI
0 likes · 13 min read
AgentScope Java 1.0 Empowers Java Developers to Build Enterprise‑Grade Agentic Apps
IT Services Circle
IT Services Circle
Dec 7, 2025 · Artificial Intelligence

Why Function Calling Fails in AI Agents and How to Fix It

The article examines the three main challenges of complex AI projects—knowledge organization, data‑AI interaction, and intent recognition—highlighting why tool (function) calling often breaks, and presents practical engineering strategies such as prompt refinement, clearer tool schemas, intent convergence, and evaluation loops to improve reliability.

AI AgentsData FlywheelFunction Calling
0 likes · 12 min read
Why Function Calling Fails in AI Agents and How to Fix It
BirdNest Tech Talk
BirdNest Tech Talk
Dec 7, 2025 · Artificial Intelligence

How LangGraphGo’s First Week Delivered 7 Showcases, a Revolutionary PTC Feature, and 20K+ Lines of Code

The first week of the LangGraphGo project saw five version releases culminating in v0.5.0, the completion of seven full‑scale showcase replications, the launch of a groundbreaking Programmatic Tool Calling (PTC) package with up to ten‑fold performance gains, over 21,000 new lines of code, extensive bilingual documentation, and a fully deployed website and knowledge base, all backed by detailed metrics and community contributions.

AI AgentsGoLangGraphGo
0 likes · 20 min read
How LangGraphGo’s First Week Delivered 7 Showcases, a Revolutionary PTC Feature, and 20K+ Lines of Code
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Dec 5, 2025 · Artificial Intelligence

Recreate Claude Code’s Core Features with LangGraph – A Hands‑On Python Tutorial

This tutorial walks you through reproducing Claude Code’s core functionality using the LangGraph Python framework, covering ReAct agents, human‑in‑the‑loop control, sub‑agent orchestration, Todo task management, context compression, streaming output, and provides complete notebooks, installation steps, and example code for hands‑on learning.

AI AgentsAsync ProgrammingClaude Code
0 likes · 12 min read
Recreate Claude Code’s Core Features with LangGraph – A Hands‑On Python Tutorial
Amazon Cloud Developers
Amazon Cloud Developers
Dec 4, 2025 · Artificial Intelligence

Building Reliable, Efficient AI Agents: Key Takeaways from Swami’s re:Invent 2025 Talk

Swami Sivasubramanian’s re:Invent 2025 keynote outlines a four‑pillar framework—Easy to Build, Efficiency, Trust, Reliability—to move AI agents from POC jail to production, detailing innovations such as Strands Agents SDK, Amazon Nova Act’s 90% reliability, Bedrock’s +66% fine‑tuning accuracy, Episodic Memory, and Reinforcement Fine‑Tuning, all backed by real‑world demos and benchmark results.

AI AgentsAWSAgentic AI
0 likes · 16 min read
Building Reliable, Efficient AI Agents: Key Takeaways from Swami’s re:Invent 2025 Talk
Amazon Cloud Developers
Amazon Cloud Developers
Dec 3, 2025 · Cloud Computing

The Road to Billions of AI Agents: Key Takeaways from Matt Garman’s re:Invent 2025 Keynote

At AWS re:Invent 2025, CEO Matt Garman outlined four essential pillars for building AI agents, unveiled three frontier agents, introduced the Amazon Nova 2 model series and 25 major cloud service innovations, and argued that billions of agents will soon deliver ten‑fold efficiency gains across enterprises.

AI AgentsAWSCloud Computing
0 likes · 20 min read
The Road to Billions of AI Agents: Key Takeaways from Matt Garman’s re:Invent 2025 Keynote
DataFunTalk
DataFunTalk
Dec 2, 2025 · Artificial Intelligence

How Agentic RAG, LLM‑Powered Recommendation, and Generative Ranking Are Redefining AI Search

This article reviews three cutting‑edge AI search and recommendation techniques—Alibaba Cloud's Agentic RAG architecture, Huawei Noah's LLM‑enhanced recommendation pipeline, and Baidu's GRAB generative ranking model—detailing their design challenges, multi‑modal retrieval strategies, performance gains, and real‑world deployment results.

AI AgentsAI SearchGenerative Ranking
0 likes · 8 min read
How Agentic RAG, LLM‑Powered Recommendation, and Generative Ranking Are Redefining AI Search
PaperAgent
PaperAgent
Dec 2, 2025 · Artificial Intelligence

How DeepSeek‑V3.2’s New Agent Architecture Bridges the Gap to Closed‑Source LLMs

DeepSeek‑V3.2 introduces a reinforced‑agent framework that combines a synthetic task factory, scaling reinforcement learning, and advanced context management, achieving the highest open‑source agent scores and narrowing the performance gap with leading closed‑source models such as Claude‑4.5‑Sonnet, GPT‑5‑High, and Gemini‑3.0‑Pro.

AI AgentsAgent ArchitectureDeepSeek
0 likes · 7 min read
How DeepSeek‑V3.2’s New Agent Architecture Bridges the Gap to Closed‑Source LLMs
BirdNest Tech Talk
BirdNest Tech Talk
Dec 1, 2025 · Artificial Intelligence

Why Choose Go for AI Agents? Inside agent-web’s Zero‑Dependency Architecture

This article explains how the agent-web framework builds a powerful AI agent orchestration system in Go without external libraries, detailing the reasons for choosing Go, the use of go:embed for single‑binary deployment, core data structures, planning and execution logic, and the interaction handling that enables both CLI and web interfaces.

AI AgentsGoagent-web
0 likes · 13 min read
Why Choose Go for AI Agents? Inside agent-web’s Zero‑Dependency Architecture
AI Info Trend
AI Info Trend
Dec 1, 2025 · Industry Insights

Why GCC Nations Pour Money into AI Yet Struggle to Scale Value

McKinsey’s latest report reveals that Gulf Cooperation Council (GCC) countries are heavily investing in AI infrastructure, achieving high adoption rates, but only a small fraction of firms have scaled AI projects to generate measurable value, highlighting gaps in strategy, talent, and change management.

AI AgentsAI adoptionAI strategy
0 likes · 7 min read
Why GCC Nations Pour Money into AI Yet Struggle to Scale Value
PaperAgent
PaperAgent
Dec 1, 2025 · Artificial Intelligence

How Deep Research Turns LLMs into Autonomous AI Scientists

This article surveys the emerging Deep Research (DR) paradigm that upgrades large language models into research agents capable of autonomous planning, multi‑source evidence gathering, memory management, and verifiable long‑form report generation, outlining its stages, core components, training pipeline, and evaluation benchmarks.

AI AgentsAI research automationDeep Research
0 likes · 6 min read
How Deep Research Turns LLMs into Autonomous AI Scientists
Data Party THU
Data Party THU
Nov 29, 2025 · Artificial Intelligence

Unlocking AI Agents: From Fundamentals to Building Your First LLM‑Powered Agent

This comprehensive guide explores the concept of AI agents, detailing their definitions, classifications, and core interaction loops, then walks you through building a functional LLM‑driven travel assistant with step‑by‑step code, tool integration, and practical insights on agent versus workflow paradigms.

AI AgentsAgent ArchitectureLLM
0 likes · 39 min read
Unlocking AI Agents: From Fundamentals to Building Your First LLM‑Powered Agent
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Nov 28, 2025 · Artificial Intelligence

MCP Code Execution: A New Paradigm for Building High‑Efficiency Agents (98.7% Token Savings)

The article analyzes how loading thousands of tool definitions overwhelms an agent's context window, and demonstrates that letting the agent generate code to call MCP tools reduces token consumption from 150,000 to 2,000 (a 98.7% improvement) while also improving privacy, state persistence, and control‑flow flexibility.

AI AgentsMCPState Persistence
0 likes · 16 min read
MCP Code Execution: A New Paradigm for Building High‑Efficiency Agents (98.7% Token Savings)
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Nov 26, 2025 · Artificial Intelligence

Why Building AI Agents Is Still a Messy Challenge

The article examines the practical difficulties of constructing AI agents, covering SDK selection pitfalls, explicit caching strategies, heavy reliance on reinforcement, failure isolation techniques, virtual file‑system coordination, output‑tool quirks, model trade‑offs, and the ongoing struggle to devise reliable testing and evaluation methods.

AI AgentsModel SelectionSDK abstraction
0 likes · 29 min read
Why Building AI Agents Is Still a Messy Challenge
JavaEdge
JavaEdge
Nov 26, 2025 · Artificial Intelligence

Google’s Agent Development Kit Now Supports Go: Build Scalable AI Agents

Google’s Agent Development Kit (ADK) has added Go language support, enabling developers to build modular, high‑concurrency AI agents with code‑first workflows, integrated debugging UI, A2A protocol for agent collaboration, and a suite of pre‑built tools for tasks like Gemini search and Cloud API calls.

A2AADKAI Agents
0 likes · 5 min read
Google’s Agent Development Kit Now Supports Go: Build Scalable AI Agents
AI Tech Publishing
AI Tech Publishing
Nov 25, 2025 · Artificial Intelligence

Three New Ways to Tackle Agent Context Engineering with Claude’s Tools

Anthropic’s recent release introduces three advanced capabilities—Tool Search, Programmatic Tool Calling, and Tool Use Examples—that reduce token consumption, avoid context pollution, and improve tool‑calling accuracy for AI agents, with detailed benchmarks, code samples, and guidance on when each feature is most effective.

AI AgentsClaudeContext Engineering
0 likes · 24 min read
Three New Ways to Tackle Agent Context Engineering with Claude’s Tools
Amazon Cloud Developers
Amazon Cloud Developers
Nov 25, 2025 · Artificial Intelligence

Flagship AI Performance at One‑Third Cost: Claude Opus 4.5 on Amazon Bedrock

Claude Opus 4.5, now on Amazon Bedrock, delivers flagship‑level AI capabilities for coding, agent development, and office automation at roughly one‑third the cost of its predecessor, outperforming Sonnet 4.5 and Opus 4.1 on benchmarks such as SWE‑bench (80.9%) and MMMU (80.7%), while offering tool‑search, tool‑example support, and flexible effort settings for production‑grade agents.

AI AgentsAmazon BedrockClaude Opus 4.5
0 likes · 14 min read
Flagship AI Performance at One‑Third Cost: Claude Opus 4.5 on Amazon Bedrock
Architect's Guide
Architect's Guide
Nov 24, 2025 · Artificial Intelligence

Building Java LLM Applications with LangChain4j: A Hands‑On Guide

This tutorial walks through the fundamentals of large language models, prompt engineering, and word embeddings, then shows how to set up a LangChain‑based LLM stack in Java using LangChain4j, covering core modules, memory, retrieval, chains, agents, and complete code examples.

AI AgentsJavaLLM
0 likes · 15 min read
Building Java LLM Applications with LangChain4j: A Hands‑On Guide
DataFunSummit
DataFunSummit
Nov 23, 2025 · Artificial Intelligence

How Large Language Models Are Revolutionizing Banking Data Integration

This article examines the challenges of traditional banking data, explains how large language models can fuse structured and unstructured information, outlines a new data‑centric infrastructure and governance approach, and describes the DiFY platform’s AI‑agent and DataOps capabilities for agile, non‑intrusive integration with core banking systems.

AI AgentsBig DataData Governance
0 likes · 16 min read
How Large Language Models Are Revolutionizing Banking Data Integration
Fighter's World
Fighter's World
Nov 22, 2025 · Industry Insights

Why Is Customer Service AI Startup Sierra Valued at $10 Billion?

Sierra, founded in 2023 by tech veterans Bret Taylor and Clay Bavor, has surged to a $10 billion valuation thanks to explosive ARR growth, a high‑end enterprise customer base, a hard‑mode GTM strategy, and the strategic shift to Agent OS 2.0 that aims to productize scarce AI Agent Engineer expertise and support outcome‑based pricing.

AI AgentsAI startup valuationAgent OS 2.0
0 likes · 19 min read
Why Is Customer Service AI Startup Sierra Valued at $10 Billion?
Youzan Coder
Youzan Coder
Nov 21, 2025 · Artificial Intelligence

How to Build, Evaluate, and Optimize AI Test Agents: A Practical Guide

This guide walks you through creating AI‑powered test agents, defining success metrics, building evaluation datasets, crafting and refining system prompts with techniques like chain‑of‑thought, XML, few‑shot and concise inputs, and scaling the workflow by splitting agents and managing prompt versions.

AI AgentsEvaluationLLM
0 likes · 21 min read
How to Build, Evaluate, and Optimize AI Test Agents: A Practical Guide
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Nov 20, 2025 · Artificial Intelligence

How DeepAgent Achieves End‑to‑End Reasoning with 16,000+ Scalable Tools

DeepAgent is a new end‑to‑end reasoning agent that unifies autonomous thinking, dynamic tool search, and execution, handling over 16,000 real APIs, supporting embodied environments and research assistance, and achieving state‑of‑the‑art results across multiple benchmarks through its unified reasoning core, memory‑folding mechanisms, structured memory, and the ToolPO training framework.

AI AgentsGeneral AITool integration
0 likes · 14 min read
How DeepAgent Achieves End‑to‑End Reasoning with 16,000+ Scalable Tools
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Nov 20, 2025 · Artificial Intelligence

How DeepAgent Redefines AI Agents with Memory Folding and ToolPO

This article breaks down the DeepAgent paper, explaining its novel "main model + auxiliary model" architecture, the memory‑folding mechanism that compresses long‑context reasoning, and the ToolPO reinforcement strategy that enables efficient tool discovery and usage.

AI AgentsLarge Language ModelsToolPO
0 likes · 8 min read
How DeepAgent Redefines AI Agents with Memory Folding and ToolPO
AI Large Model Application Practice
AI Large Model Application Practice
Nov 17, 2025 · Artificial Intelligence

Unlock Complex AI Agents with DeepAgents: A Hands‑On Guide

DeepAgents, the new open‑source agent framework from LangChain, extends LangChain and LangGraph with built‑in task planning, virtual file systems, long‑term memory and sub‑agent support, and this article walks through its architecture, core capabilities, detailed code examples, and future roadmap.

AI AgentsDeepAgentsLangChain
0 likes · 15 min read
Unlock Complex AI Agents with DeepAgents: A Hands‑On Guide
DataFunTalk
DataFunTalk
Nov 15, 2025 · Artificial Intelligence

Which Low‑Code Platform Wins for Building AI Agents? Dify, n8n, and Coze Compared

This article examines the rise of low‑code platforms for AI agents, outlines their core benefits, and provides a detailed comparison of three popular solutions—Dify, n8n, and Coze—highlighting each platform's features, target users, strengths, and limitations to help readers choose the right tool for their projects.

AI AgentsCozeDify
0 likes · 22 min read
Which Low‑Code Platform Wins for Building AI Agents? Dify, n8n, and Coze Compared
Data Party THU
Data Party THU
Nov 15, 2025 · Artificial Intelligence

How Reinforcement Learning Powers Intelligent AI Agents and LangGraph Workflows

This article explains how reinforcement learning (RL) underpins intelligent AI agents, covering the Markov Decision Process fundamentals, key RL components, multi‑hop reasoning on knowledge graphs, and a step‑by‑step LangGraph example that integrates an RL‑driven tutoring policy with Python code.

AI AgentsKnowledge GraphLangGraph
0 likes · 17 min read
How Reinforcement Learning Powers Intelligent AI Agents and LangGraph Workflows
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Nov 13, 2025 · Artificial Intelligence

The Ultimate Practical Guide to Context Engineering for AI Agents

This comprehensive guide explains why traditional prompt engineering is insufficient for complex AI agents, defines context engineering as the art of supplying the right information at the right time, outlines its seven core components, describes the phenomenon of context rot, and presents four practical strategies with real‑world case studies such as Claude Code and Manus.

AI AgentsAgent designContext Engineering
0 likes · 21 min read
The Ultimate Practical Guide to Context Engineering for AI Agents
Continuous Delivery 2.0
Continuous Delivery 2.0
Nov 13, 2025 · Artificial Intelligence

Shopify’s Blueprint for Scalable AI Agents: Architecture, Evaluation, and Reward‑Hack Fixes

This article details how Shopify engineered the Sidekick AI agent platform, covering its evolving architecture, just‑in‑time instruction system, rigorous LLM evaluation framework, GRPO training method, and strategies to prevent reward‑hacking, offering practical guidance for building production‑ready agentic systems.

AI AgentsAgentic SystemsLLM evaluation
0 likes · 13 min read
Shopify’s Blueprint for Scalable AI Agents: Architecture, Evaluation, and Reward‑Hack Fixes
Go Programming World
Go Programming World
Nov 10, 2025 · Artificial Intelligence

Boost AI Agent Productivity with an All‑In‑One Sandbox Container

This article introduces AIO Sandbox, an all‑in‑one Docker container that unifies browser, shell, VSCode, and Jupyter environments, provides agent‑oriented APIs and multi‑language SDKs, and demonstrates a quick‑start workflow and a Python example converting web pages to Markdown.

AI AgentsDockerJupyter
0 likes · 8 min read
Boost AI Agent Productivity with an All‑In‑One Sandbox Container
AI Tech Publishing
AI Tech Publishing
Nov 10, 2025 · Artificial Intelligence

The Real Barriers to Deploying AI Agents: Workflow, Trust, and Data Privacy

A survey of over 30 AI‑agent founders and 40 enterprise users reveals that the biggest obstacles to AI‑agent adoption are workflow integration and human interaction (60%), employee resistance (50%) and data‑privacy concerns (50%), while successful deployments rely on modest, well‑positioned use‑cases, hands‑on support, and clear pricing models.

AI AgentsEmployee TrustGo‑to‑Market Strategy
0 likes · 10 min read
The Real Barriers to Deploying AI Agents: Workflow, Trust, and Data Privacy
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Nov 10, 2025 · Artificial Intelligence

Alibaba’s 60‑Day Sprint into Global AI Coding: Inside Qoder Founder’s Strategy

In a candid interview, Qoder founder Shu‑tong shares how Alibaba launched its AI‑coding platform in just 60 days, amassed 500,000 developers, and positioned the product to dominate the real‑software market through spec‑driven workflows, AI agents, and a unified model‑selection engine.

AI AgentsAI codingContext Engineering
0 likes · 50 min read
Alibaba’s 60‑Day Sprint into Global AI Coding: Inside Qoder Founder’s Strategy
Goodme Frontend Team
Goodme Frontend Team
Nov 10, 2025 · Frontend Development

Why AI Agents Aren’t Ready to Run Your Front‑End Projects (And How to Use Them Effectively)

The article examines the hype around AI agents, explains why they currently cannot fully take over front‑end development in company projects due to fragmented context, stability demands, and long‑term architectural needs, and offers practical strategies and prompt templates for realistic, productive use.

AI AgentsPrompt Engineeringcode review
0 likes · 19 min read
Why AI Agents Aren’t Ready to Run Your Front‑End Projects (And How to Use Them Effectively)
Data Thinking Notes
Data Thinking Notes
Nov 9, 2025 · Artificial Intelligence

From Hype to Reality: How Enterprise AI Agents Are Gaining Real‑World Impact

Tencent Cloud and Tencent Research Institute, together with Gartner, released a comprehensive report that outlines evaluation methods, challenges, and practical solutions for deploying enterprise AI agents, introducing an innovative "AI Agent Scenario Compass" to help companies assess maturity and plan implementation roadmaps.

AI AgentsAI roadmapEnterprise AI
0 likes · 5 min read
From Hype to Reality: How Enterprise AI Agents Are Gaining Real‑World Impact
Fun with Large Models
Fun with Large Models
Nov 8, 2025 · Artificial Intelligence

Unlocking LangChain 1.0 create_agent: Advanced MCP, Structured Output, Memory & Middleware

This guide dives into the four advanced capabilities of LangChain 1.0's create_agent API—MCP tool integration, structured output, memory management, and middleware—showcasing practical examples such as an Amap MCP planner, Pydantic‑based response formatting, InMemorySaver chat history, and custom middleware for dynamic model selection.

AI AgentsLangChainMCP
0 likes · 22 min read
Unlocking LangChain 1.0 create_agent: Advanced MCP, Structured Output, Memory & Middleware
AI Tech Publishing
AI Tech Publishing
Nov 5, 2025 · Industry Insights

Why ToB AI Agents Fail: Model Limits and the Tech‑Business Gap

The article analyzes why ToB AI agents struggle to succeed, pinpointing two core issues: inadequate model capabilities that force temporary engineering patches, and a disconnect between technical staff who understand AI and business staff who understand domain needs.

AI AgentsEnterprise AIToB
0 likes · 2 min read
Why ToB AI Agents Fail: Model Limits and the Tech‑Business Gap
21CTO
21CTO
Nov 5, 2025 · Artificial Intelligence

How Block Scaled AI Agents to 12,000 Employees in Just 8 Weeks

Block, a fintech giant, deployed AI agents across all 12,000 staff in eight weeks by adopting the Model Context Protocol, simplifying installation, offering model choice, automating tool management, and building a supportive community, revealing key lessons for enterprise AI adoption.

AI AgentsAI deploymentEnterprise AI
0 likes · 10 min read
How Block Scaled AI Agents to 12,000 Employees in Just 8 Weeks
DataFunTalk
DataFunTalk
Nov 5, 2025 · Artificial Intelligence

Why AI Agents Are Booming in 2025: Key Trends, Opportunities, and Market Insights

The 2025 AI Agent Bible report reveals that voice interaction, payment infrastructure, data competition, monitoring tools, and M&A activity are reshaping the AI Agent market, highlighting lucrative coding agents, high‑valuation customer‑service agents, cost pressures, and emerging vertical opportunities for entrepreneurs.

AI AgentsAI Startup FundingAgent Monetization
0 likes · 21 min read
Why AI Agents Are Booming in 2025: Key Trends, Opportunities, and Market Insights
Fun with Large Models
Fun with Large Models
Nov 4, 2025 · Artificial Intelligence

Mastering LangChain 1.0’s create_agent API: Basics, Message Types, and Stream Modes

This tutorial walks through setting up a Python environment, explains the three essential components of LangChain 1.0’s create_agent API, details the built‑in message types, and demonstrates four streaming output modes using a weather‑assistant example to help developers quickly adopt the new agent framework.

AI AgentsLangChainPython
0 likes · 11 min read
Mastering LangChain 1.0’s create_agent API: Basics, Message Types, and Stream Modes
DataFunTalk
DataFunTalk
Nov 4, 2025 · Artificial Intelligence

Can LLMs Trade Crypto Profitably? Inside the Alpha Arena Competition

Alpha Arena’s first season pitted six leading large language models against real crypto markets with $10,000 each, revealing stark differences in trading bias, risk management, and sensitivity to prompts, as Qwen3‑Max and DeepSeek outperformed GPT‑5, while detailed case studies expose model vulnerabilities and future research directions.

AI AgentsAlpha ArenaLLM
0 likes · 12 min read
Can LLMs Trade Crypto Profitably? Inside the Alpha Arena Competition
DataFunSummit
DataFunSummit
Nov 2, 2025 · Artificial Intelligence

How Grab Leverages Large‑Model Agents to Transform Risk Analysis

This article explains how Grab, Southeast Asia's leading super‑app, built a large‑model‑driven intelligent analysis platform that injects knowledge and restructures processes to overcome traditional risk‑control challenges, detailing its architecture, core technologies, real‑world use cases, and future outlook for AI‑augmented risk management.

AI AgentsGrabRisk Analysis
0 likes · 17 min read
How Grab Leverages Large‑Model Agents to Transform Risk Analysis
Fun with Large Models
Fun with Large Models
Nov 2, 2025 · Artificial Intelligence

Fast-Track LangChain 1.0: Core Upgrades and the New create_agent API

This guide walks through LangChain 1.0’s three major upgrades— the new create_agent API that replaces legacy agent builders, standardized content_blocks for unified model output, and a streamlined package structure—while showing how middleware hooks, built‑in and custom middleware, and improved structured output simplify production‑grade AI agent development.

AI AgentsLangChainPython
0 likes · 15 min read
Fast-Track LangChain 1.0: Core Upgrades and the New create_agent API
Architecture and Beyond
Architecture and Beyond
Nov 2, 2025 · Artificial Intelligence

Why AI Agents Still Fall Short: Key Challenges and Real-World Solutions

The article examines why current AI agents fall short of expectations, highlighting weak business understanding, limited execution, controllability issues, high customization costs, and the gap between model capabilities and engineering, while proposing SaaS firms' advantages, vertical scenario focus, security concerns, and future development trends.

AI AgentsAI safetyAgent Engineering
0 likes · 11 min read
Why AI Agents Still Fall Short: Key Challenges and Real-World Solutions
Fun with Large Models
Fun with Large Models
Oct 31, 2025 · Artificial Intelligence

How to Use Coze Variables and Long‑Term Memory in Low‑Code Agent Development (Part 6)

This guide walks through Coze’s variable and long‑term memory features, showing how to define and use variables for user data, configure persistent memory, and combine both to build personalized, context‑aware AI agents, with step‑by‑step screenshots, code snippets, and real‑world scenarios.

AI AgentsCozeLong-Term Memory
0 likes · 14 min read
How to Use Coze Variables and Long‑Term Memory in Low‑Code Agent Development (Part 6)
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 31, 2025 · Artificial Intelligence

Why AI Agents Fail and 10 Proven Ways to Make Them Reliable

This article shares the practical lessons learned from building Alibaba Cloud’s digital employee "YunXiaoEr Aivis", explaining why large‑language‑model agents often miss expectations and presenting ten concrete strategies—ranging from clear prompt design to memory management—that dramatically improve multi‑agent reliability.

AI AgentsAgent OptimizationContext Engineering
0 likes · 29 min read
Why AI Agents Fail and 10 Proven Ways to Make Them Reliable
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Oct 30, 2025 · Artificial Intelligence

Why Making Agents Move Is the Next Critical Step: Explainability, Tool Creation, and 100% Accuracy

The interview with Sheet0.com founder Wang Wenfeng explores why the next phase for AI agents hinges on explainability, real‑time data integration, and tool creation, emphasizing 100% accuracy, trust, and feedback loops as essential for turning agents from interns into truly intelligent assistants.

AI AgentsExplainabilityindustry insight
0 likes · 15 min read
Why Making Agents Move Is the Next Critical Step: Explainability, Tool Creation, and 100% Accuracy
Amazon Cloud Developers
Amazon Cloud Developers
Oct 30, 2025 · Artificial Intelligence

Quick Start: Secure, Scalable Agent Identity with AgentCore Identity

This guide walks through Amazon Bedrock senior architect Prasanna Sridharan's video demo of AgentCore Identity, showing how to centrally manage AI agent identities, tokens, and API keys, integrate with Amazon Cognito and OAuth, use the AgentCore SDK for runtime permissions, and apply scoped access control in real-world scenarios.

AI AgentsAgentCore IdentityAmazon Bedrock
0 likes · 2 min read
Quick Start: Secure, Scalable Agent Identity with AgentCore Identity
BirdNest Tech Talk
BirdNest Tech Talk
Oct 30, 2025 · Artificial Intelligence

Master LangChain Toolkits to Build Powerful AI Agents Quickly

This guide explains what LangChain toolkits are, why they simplify building domain‑specific AI agents, lists common built‑in toolkits, and walks through the step‑by‑step process of instantiating a toolkit, retrieving its tools, and creating an OpenAI‑powered agent, illustrated with a SQL database example.

AI AgentsAutomationLangChain
0 likes · 5 min read
Master LangChain Toolkits to Build Powerful AI Agents Quickly
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 30, 2025 · Artificial Intelligence

Why AI Agents Aren’t As Simple As They Appear: Engineering Challenges and Solutions

Building AI agents may seem straightforward with frameworks like LangChain, but hidden complexities in orchestration, memory management, reproducibility, and scalability turn simple demos into fragile systems, requiring systematic engineering, observability, and robust design to achieve reliable, production‑grade intelligent agents.

AI AgentsAgent designLangChain
0 likes · 21 min read
Why AI Agents Aren’t As Simple As They Appear: Engineering Challenges and Solutions
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Oct 29, 2025 · Cloud Native

How Container Services Are Powering the AI Agent Revolution

The article reviews Alibaba Cloud's container service advancements, highlights AI-driven trends such as intelligent agents reshaping applications, the migration of AI infrastructure to cloud‑native platforms, and showcases four customer case studies demonstrating massive efficiency gains and the emergence of containers as the operating system for the AI era.

AIAI AgentsKubernetes
0 likes · 6 min read
How Container Services Are Powering the AI Agent Revolution
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Oct 29, 2025 · Artificial Intelligence

Stop Reinventing the Wheel: An Agent Platform Bridges PoC to Enterprise AI

Enterprise AI agents are moving beyond passive chatbots to become digital employees that perceive, reason, plan, learn, and act, and this article dissects a seven‑module agent platform architecture, its advantages, real‑world use cases, and future directions for scaling AI productivity across businesses.

AI AgentsAgent PlatformAutomation
0 likes · 11 min read
Stop Reinventing the Wheel: An Agent Platform Bridges PoC to Enterprise AI
Liangxu Linux
Liangxu Linux
Oct 28, 2025 · Artificial Intelligence

Explore 500+ AI Agent Projects and Essential Open‑Source Tools for Developers

This guide curates over 500 real‑world AI agent use cases, a comprehensive student resource hub, collections of MCP servers, a Docker‑based Windows runtime, AI‑focused automation platforms, and a YAML‑driven workflow engine, each with direct GitHub links for quick exploration.

AI AgentsAutomationGitHub
0 likes · 7 min read
Explore 500+ AI Agent Projects and Essential Open‑Source Tools for Developers
AI Info Trend
AI Info Trend
Oct 28, 2025 · Industry Insights

2025: The AI Agent Year and a New Standard to End the Evaluation Black Box

In 2025, China’s AI strategy targets over 90% adoption of AI agents, yet enterprises struggle with selection, acceptance, and optimization due to a lack of unified performance metrics, prompting the first national group standard—‘Enterprise‑level AI Agent Application Performance Evaluation Specification’—to provide a comprehensive, multi‑dimensional assessment framework for developers, users, and third‑party evaluators.

AI AgentsArtificial Intelligenceevaluation methodology
0 likes · 7 min read
2025: The AI Agent Year and a New Standard to End the Evaluation Black Box
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Oct 28, 2025 · Artificial Intelligence

How Claude Skills Redefine AI Agent Architecture: A Deep Dive

This article explains the design, three‑layer architecture, registration process, intent routing, security model, and practical comparisons of Anthropic's Claude Skills, showing how they extend LLM capabilities beyond prompts and function calling.

AI AgentsAnthropicClaude Skills
0 likes · 15 min read
How Claude Skills Redefine AI Agent Architecture: A Deep Dive
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Oct 27, 2025 · Artificial Intelligence

Master AI Agents and MCP: A Complete 4‑Month Learning Roadmap

This article presents a structured, step‑by‑step learning path that guides beginners from Python fundamentals through AI API mastery, Retrieval‑Augmented Generation, deep MCP protocol knowledge, and advanced multi‑agent development, complete with practical code examples and performance‑monitoring techniques.

AI AgentsLangChainLearning Roadmap
0 likes · 14 min read
Master AI Agents and MCP: A Complete 4‑Month Learning Roadmap
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Oct 26, 2025 · Artificial Intelligence

How to Build an Enterprise-Grade Agent-Based Platform: A Complete Guide

The article analyzes why most platform engineering efforts fail to deliver value, explains how AI agents transform platform architecture into an operating‑system‑like ecosystem, outlines seven core capability pillars, presents a four‑stage rollout roadmap, and discusses practical challenges, security, observability, and future directions.

AI AgentsAgent MeshEnterprise platform engineering
0 likes · 23 min read
How to Build an Enterprise-Grade Agent-Based Platform: A Complete Guide
21CTO
21CTO
Oct 25, 2025 · Artificial Intelligence

From Knowledge Worker to AI ‘Agent Manager’: Embracing the Future of Coding

Microsoft CEO Satya Nadella explains how AI‑generated code will dominate, why programmers must become AI Agent Managers, and how organizations can harness AI agents to solve technical debt, transform knowledge work, and deliver real economic value across industries.

AI Agentsdigital transformationfuture of coding
0 likes · 9 min read
From Knowledge Worker to AI ‘Agent Manager’: Embracing the Future of Coding
Java Tech Enthusiast
Java Tech Enthusiast
Oct 25, 2025 · Artificial Intelligence

How Claude’s New ‘Skills’ Transform AI Agents and Outpace MCP

Anthropic’s recent addition of Skills to Claude introduces a modular, metadata‑driven approach that lets AI agents load specific capabilities on demand, offering a more efficient alternative to MCP’s context‑heavy tool integration and promising scalable, progressive disclosure for specialized workflows.

AI AgentsAnthropicClaude
0 likes · 6 min read
How Claude’s New ‘Skills’ Transform AI Agents and Outpace MCP
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Oct 24, 2025 · Artificial Intelligence

7 Essential Agent Design Patterns for Building Autonomous AI Systems

This article explains the fundamental differences between workflows and agents, introduces seven core design patterns—including three workflow patterns and four agent patterns—provides Python examples using Ollama, and shows how to combine these patterns to create robust, autonomous AI applications.

AI AgentsAutonomous SystemsDesign Patterns
0 likes · 30 min read
7 Essential Agent Design Patterns for Building Autonomous AI Systems
DataFunTalk
DataFunTalk
Oct 23, 2025 · Artificial Intelligence

How Tencent Leverages RAG and Agents to Supercharge Large Language Models

This article examines Tencent's large language model deployments across diverse business scenarios, detailing how Retrieval‑Augmented Generation, Supervised Fine‑Tuning, and autonomous agents boost model intelligence, reduce hallucinations, and enable sophisticated content creation, understanding, and interactive applications.

AI AgentsRAGTencent
0 likes · 4 min read
How Tencent Leverages RAG and Agents to Supercharge Large Language Models
Amazon Cloud Developers
Amazon Cloud Developers
Oct 23, 2025 · Artificial Intelligence

Boosting AI Agents with AgentCore Memory: A Long‑Term Memory System

The article explains how Amazon Bedrock AgentCore Memory transforms AI agents from short‑term responders into continuously learning entities by extracting valuable insights, integrating them intelligently, handling edge cases, supporting custom strategies, and delivering high compression rates and low latency for large‑scale deployments.

AI AgentsAgentCore MemoryAmazon Bedrock
0 likes · 17 min read
Boosting AI Agents with AgentCore Memory: A Long‑Term Memory System
Architecture and Beyond
Architecture and Beyond
Oct 19, 2025 · Artificial Intelligence

4 Essential AI Agent Design Patterns You Need to Master

This article introduces four common AI Agent design patterns—single‑agent, ReAct, multi‑agent collaboration, and human‑AI cooperation—explaining their definitions, problem scopes, core components, workflows, advantages, limitations, implementation tips, and guidance for selecting the most suitable pattern.

AI AgentsReActhuman-AI collaboration
0 likes · 28 min read
4 Essential AI Agent Design Patterns You Need to Master
Fun with Large Models
Fun with Large Models
Oct 18, 2025 · Artificial Intelligence

Building DeepResearch from Scratch (Part 2): Architecture Design and Implementation with LangGraph

This article walks through the design and implementation of a multi‑agent DeepResearch application using the Pipeline‑Agent pattern with LangGraph and LangChain, detailing three agents for task planning, web search via Tavily, and report generation, and provides complete Python code and test results.

AI AgentsLangChainLangGraph
0 likes · 16 min read
Building DeepResearch from Scratch (Part 2): Architecture Design and Implementation with LangGraph
Instant Consumer Technology Team
Instant Consumer Technology Team
Oct 17, 2025 · Artificial Intelligence

Mastering Context Engineering for AI Agents: Overcome Overload with Smart Strategies

This article distills Anthropic’s “Effective Context Engineering for AI Agents” into key insights, explaining why context engineering matters, how it differs from prompt engineering, what constitutes good practice, and practical techniques—system prompts, tool design, few‑shot prompting, compaction, structured note‑taking, and sub‑agent architectures—to mitigate context overload in large language model agents.

AI AgentsAgent designContext Engineering
0 likes · 10 min read
Mastering Context Engineering for AI Agents: Overcome Overload with Smart Strategies
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Oct 17, 2025 · Artificial Intelligence

How Six Agents Tackle Complex Commands and Tool Bloat in AI Data Generation

The article analyzes the evolution from a single‑agent LLM pipeline to a six‑agent architecture that separates intent recognition, tool filtering, reasoning, and summarization, enabling precise handling of complex user queries, efficient tool selection from thousands, and faster, more reliable AI‑driven data generation.

AI AgentsLLM IntegrationPrompt Engineering
0 likes · 25 min read
How Six Agents Tackle Complex Commands and Tool Bloat in AI Data Generation
BirdNest Tech Talk
BirdNest Tech Talk
Oct 17, 2025 · Artificial Intelligence

How to Extend Claude with Custom Agent Skills Using SKILL.md

Claude’s new Agent Skills let developers package domain expertise into organized SKILL.md files and resource folders, enabling progressive disclosure, code execution, and scalable context loading, with detailed guidance on structure, bundling, evaluation, and security considerations for building robust, reusable AI agents.

AI AgentsAgent SkillsClaude
0 likes · 11 min read
How to Extend Claude with Custom Agent Skills Using SKILL.md
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Oct 16, 2025 · Artificial Intelligence

Why We Chose LangGraph as the Core Engine for AI Agent Systems

The article compares mainstream AI‑agent frameworks such as AutoGen, MetaGPT, Coze, and Dify, highlighting their limitations, and then explains why LangGraph’s graph‑based state machine, explicit workflow modeling, robust state management, production‑grade features and open architecture make it the preferred choice for building scalable, maintainable enterprise AI applications.

AI AgentsLLMLangGraph
0 likes · 11 min read
Why We Chose LangGraph as the Core Engine for AI Agent Systems
Data STUDIO
Data STUDIO
Oct 15, 2025 · Artificial Intelligence

Seven Essential AI Agent Frameworks to Watch in 2025

The article examines the shift from single-model calls to autonomous AI agents, outlines the seven most influential AI agent frameworks for 2025—including LangChain, LangGraph, CrewAI, AutoGen, and Semantic Kernel—compares their core strengths, learning curves, and ideal use cases, and offers a practical selection guide for developers and enterprises.

AI AgentsAutoGenCrewAI
0 likes · 13 min read
Seven Essential AI Agent Frameworks to Watch in 2025
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Oct 14, 2025 · Artificial Intelligence

Why AI-Powered Unmanned Testing Is the Strategic Core of Software Engineering 3.0

The article analyzes how AI-driven testing, illustrated by Testin XAgent’s data, transforms software testing from a costly, slow, and maintenance‑heavy process into a high‑efficiency, high‑coverage, and low‑cost strategic capability, making unmanned testing the new foundation of Software Engineering 3.0.

AI AgentsAI testingRAG
0 likes · 14 min read
Why AI-Powered Unmanned Testing Is the Strategic Core of Software Engineering 3.0
Practical DevOps Architecture
Practical DevOps Architecture
Oct 14, 2025 · Artificial Intelligence

Master AI Agents: From Basics to Advanced Multi-Model Development

This comprehensive AI agent development course covers 18 chapters, ranging from fundamental concepts and architecture to large‑model integration, tool and browser control, memory, RAG self‑learning, sandboxing, database manipulation, multi‑agent architectures, code assistance, and a real‑world frontend automation project, complete with source code and documentation.

AI AgentsLangChainLarge Language Models
0 likes · 3 min read
Master AI Agents: From Basics to Advanced Multi-Model Development
Amazon Cloud Developers
Amazon Cloud Developers
Oct 13, 2025 · Artificial Intelligence

Agentic AI Guide: Building and Deploying Robust AI Agents

This article provides a comprehensive technical guide on Agentic AI, detailing the core modules, infrastructure requirements, security considerations, observability practices, and deployment strategies needed to develop and operate production‑ready AI agents.

AI AgentsAgentOpsAgentic AI
0 likes · 27 min read
Agentic AI Guide: Building and Deploying Robust AI Agents
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 11, 2025 · Artificial Intelligence

Unlock Autonomous AI Agents with Spring AI Alibaba: Scheduling & Real-World Cases

Spring AI Alibaba (SAA) provides a robust framework for building autonomous, scheduled AI agents that can operate independently, respond to events, and involve human oversight, enabling use cases such as automated business reporting, batch data processing, emergency response, and sentiment analysis, with detailed code examples and deployment guidance.

AI AgentsEnterprise AutomationLLM
0 likes · 13 min read
Unlock Autonomous AI Agents with Spring AI Alibaba: Scheduling & Real-World Cases
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Oct 11, 2025 · Artificial Intelligence

Why System Architecture Beats Model Choice in AI Agent Deployments

The article explains that successful AI Agent deployments require a multi‑layered architecture—model, framework, and tool layers—detailing how LangChain, LangGraph, and MCP work together, and provides concrete implementation steps, best‑practice recommendations, and a roadmap from a minimal agent to an enterprise‑grade system.

AI AgentsAI IDELangChain
0 likes · 12 min read
Why System Architecture Beats Model Choice in AI Agent Deployments
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Oct 9, 2025 · Artificial Intelligence

From Smart Testing to Autonomous Testing: Theory and Practice

The article examines the evolution from intelligent, assistant‑style testing to fully autonomous, LLM‑driven test agents, outlining four core capabilities, real‑world implementations across unit, API, and UI layers, and the technical pillars that enable self‑learning, self‑healing, and multi‑modal testing.

AI AgentsKnowledge GraphLLM
0 likes · 11 min read
From Smart Testing to Autonomous Testing: Theory and Practice