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AI Agents

2182 articles · Page 20 of 22
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 IntegrationTool governance
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 AgentsAgent FrameworksAutoGen
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 AgentsLangChainRAG
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
Instant Consumer Technology Team
Instant Consumer Technology Team
Oct 9, 2025 · Artificial Intelligence

Unlock Claude Code Agents: Configure, Manage, and Deploy Multi‑Agent Workflows

This guide walks you through the fundamentals of Claude Code agents—explaining why multiple agents are useful, how to configure them with YAML templates, manage them via slash commands, install third‑party agents, and orchestrate real‑world multi‑agent workflows—all with practical screenshots and code examples.

AI AgentsClaude Codeagent configuration
0 likes · 7 min read
Unlock Claude Code Agents: Configure, Manage, and Deploy Multi‑Agent Workflows
DataFunTalk
DataFunTalk
Oct 6, 2025 · Artificial Intelligence

How OpenAI’s New Agent Builder Lets You Drag‑Drop Build AI Agents

OpenAI will unveil Agent Builder at DevDay, a visual drag‑and‑drop canvas that lets users assemble AI agents from templates, logic nodes, connectors and tools, aiming to lower the barrier for creating production‑grade AI solutions and compete with automation platforms like n8n and Zapier.

AI AgentsAI workflowAgent Builder
0 likes · 6 min read
How OpenAI’s New Agent Builder Lets You Drag‑Drop Build AI Agents
DataFunTalk
DataFunTalk
Oct 6, 2025 · Artificial Intelligence

Mastering Context Engineering: 5 Proven Strategies to Boost AI Agent Performance

This article explores the emerging concept of context engineering for AI agents, explains why managing long‑range context is critical, and details five practical strategies—Offload, Reduce, Retrieve, Isolate, and Cache—backed by insights from leading industry teams and the "Bitter Lesson" philosophy.

AI AgentsContext EngineeringLLM Optimization
0 likes · 30 min read
Mastering Context Engineering: 5 Proven Strategies to Boost AI Agent Performance
AI Large Model Application Practice
AI Large Model Application Practice
Oct 3, 2025 · Artificial Intelligence

Test‑Time Diffusion Deep Research (TTD‑DR): How AI Agents Mimic Human Research Cycles

The article explains Google’s Test‑Time Diffusion Deep Research (TTD‑DR) paradigm, which adds iterative draft‑refinement and self‑evolution to AI agents, enabling multi‑step web retrieval, continuous “denoising” of drafts, and superior research reports compared with first‑generation Deep Research systems.

AI AgentsDeep ResearchResearch Automation
0 likes · 11 min read
Test‑Time Diffusion Deep Research (TTD‑DR): How AI Agents Mimic Human Research Cycles
BirdNest Tech Talk
BirdNest Tech Talk
Oct 2, 2025 · Artificial Intelligence

How Function Calling Empowers LLMs: A Step‑by‑Step LangChain Guide

This article explains how function (tool) calling lets large language models like GPT or Gemini invoke external APIs, walks through defining tools with LangChain, and demonstrates a complete Python example that fetches real‑time weather data and returns a natural‑language answer.

AI AgentsFunction CallingLLM
0 likes · 9 min read
How Function Calling Empowers LLMs: A Step‑by‑Step LangChain Guide
Amazon Cloud Developers
Amazon Cloud Developers
Sep 30, 2025 · Artificial Intelligence

Claude Sonnet 4.5 Arrives: Efficiently Deploy Production‑Grade Agents for Long‑Context Tasks

Claude Sonnet 4.5 is now available on Amazon Bedrock, offering upgraded agent capabilities such as tool use, memory management, and extended context handling, with new API features like smart window management, automatic tool‑record cleanup, and cross‑dialog memory, demonstrated through a Python Boto3 example that generates a detailed digital‑transformation plan.

AI AgentsAmazon BedrockBoto3
0 likes · 9 min read
Claude Sonnet 4.5 Arrives: Efficiently Deploy Production‑Grade Agents for Long‑Context Tasks
phodal
phodal
Sep 29, 2025 · Artificial Intelligence

How AutoDev Leverages Google’s A2A Protocol for Cross‑Agent Collaboration

This article explains how AutoDev adds support for Google’s Agent‑to‑Agent (A2A) protocol, detailing its architecture, integration with the Model Context Protocol (MCP), configuration steps, debugging tools, and the benefits of a modular, open‑source AI programming ecosystem.

A2AAI AgentsAgent-to-Agent
0 likes · 6 min read
How AutoDev Leverages Google’s A2A Protocol for Cross‑Agent Collaboration
Instant Consumer Technology Team
Instant Consumer Technology Team
Sep 28, 2025 · Artificial Intelligence

Why Chinese AI Agents Lead at Home but Lag Abroad – Key Findings from the 2025 Enterprise AI Agent Report

The 2025 Enterprise AI Agent Research Report reveals that domestic Chinese agents excel in localized tasks and data precision, while international agents dominate in generalization, speed, and iterative efficiency, highlighting six critical adoption metrics and showcasing diverse industry case studies that illustrate the current AI Agent landscape and future opportunities.

AI AdoptionAI AgentsAI case studies
0 likes · 20 min read
Why Chinese AI Agents Lead at Home but Lag Abroad – Key Findings from the 2025 Enterprise AI Agent Report
Architecture and Beyond
Architecture and Beyond
Sep 27, 2025 · Artificial Intelligence

Mastering AI Agent Tool Management: OpenManus, Gemini CLI & Shopify Sidekick

This article explains how AI agents work, examines OpenManus’s comprehensive tool framework, reviews Gemini CLI’s minimalist tool scheduling and error handling, and discusses Shopify Sidekick’s scaling challenges and Just‑in‑Time instruction strategy, offering practical guidance for building robust, production‑ready agentic systems.

AI AgentsJust-in-TimeLLM
0 likes · 15 min read
Mastering AI Agent Tool Management: OpenManus, Gemini CLI & Shopify Sidekick
Alibaba Middleware
Alibaba Middleware
Sep 26, 2025 · Artificial Intelligence

Alibaba Cloud Launches AI Middleware to Bridge the Final Mile of AI Application Deployment

Alibaba Cloud unveiled a fully open‑source AI middleware suite—including AgentScope‑Java, AI‑MQ (RocketMQ), Higress gateway, Nacos registration/configuration, and AI observability—to enable enterprise‑grade, multi‑Agent AI applications, addressing integration, scalability, and reliability challenges highlighted by recent Gartner forecasts.

AI AgentsAI middlewareAgentScope
0 likes · 18 min read
Alibaba Cloud Launches AI Middleware to Bridge the Final Mile of AI Application Deployment
360 Smart Cloud
360 Smart Cloud
Sep 26, 2025 · Artificial Intelligence

How to Turn OpenAPI Specs into AI Agent Tools with MCP: A Multi‑Language Guide

This article explains how the Model Context Protocol (MCP) bridges large language models and external services by converting OpenAPI specifications into callable tools, covering generation with openapi‑generator, mapping rules, three runtime modes (stdio, streamable, SSE), and implementation details in Java, Python, and Go.

AI AgentsGoJava
0 likes · 23 min read
How to Turn OpenAPI Specs into AI Agent Tools with MCP: A Multi‑Language Guide
Tech Freedom Circle
Tech Freedom Circle
Sep 25, 2025 · Artificial Intelligence

How RAGFlow’s Agent Engine Turns Retrieval into a Problem‑Solving AI

This article explains how RAGFlow upgrades a traditional RAG system from a passive question‑answer engine to an active problem‑solving agent by integrating the ReAct reasoning‑action‑observation loop, a visual canvas workflow, and a modular component‑tool ecosystem, with concrete Python implementations and code examples.

AI AgentsPythonReAct
0 likes · 16 min read
How RAGFlow’s Agent Engine Turns Retrieval into a Problem‑Solving AI
Liangxu Linux
Liangxu Linux
Sep 24, 2025 · Artificial Intelligence

Top Open‑Source AI Agent Tools You Should Explore

This article presents a curated collection of five open‑source AI‑related projects—including a comprehensive AI agent directory, a MacBook‑based digital scale, an invisible desktop assistant, a collaborative trading simulator, and Microsoft’s Magentic‑UI web helper—each with brief descriptions and GitHub links.

AI AgentsGitHubautomation
0 likes · 5 min read
Top Open‑Source AI Agent Tools You Should Explore
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Sep 24, 2025 · Artificial Intelligence

Key Points for Evaluating AI Agents

The article explains how Coze's Compass introduces a flexible evaluation system for AI agents, outlines a four‑dimensional submodule assessment (planning, tool use, self‑reflection, memory), and details specific testing criteria and challenges for web, scientific, dialogue, and programming agents.

AI AgentsBenchmarkingCoze
0 likes · 6 min read
Key Points for Evaluating AI Agents
Fun with Large Models
Fun with Large Models
Sep 22, 2025 · Artificial Intelligence

Building Conditional Branch and Loop Graphs with LangGraph AI Agents

This tutorial demonstrates how to use LangGraph's low‑level API to create stateful conditional‑branch, loop, and combined graphs for AI agents, showing step‑by‑step definitions of Pydantic state models, node logic, edge configuration, compilation, and test execution with concrete code examples.

AI AgentsLangGraphPydantic
0 likes · 12 min read
Building Conditional Branch and Loop Graphs with LangGraph AI Agents
Data Party THU
Data Party THU
Sep 19, 2025 · Artificial Intelligence

How RepoMaster Enables AI Agents to Master GitHub Repositories for Complex Tasks

RepoMaster is an AI‑driven framework that automatically discovers, analyzes, and executes code from massive GitHub repositories, turning them into reusable tools and achieving state‑of‑the‑art performance on challenging benchmarks while drastically reducing token consumption and engineering effort.

AI AgentsRepoMasterautonomous execution
0 likes · 9 min read
How RepoMaster Enables AI Agents to Master GitHub Repositories for Complex Tasks
Data Party THU
Data Party THU
Sep 15, 2025 · Artificial Intelligence

Agentic RL: Transforming LLMs into Autonomous Decision‑Making Agents

This survey formalizes the shift from preference‑based reinforcement fine‑tuning to Agentic Reinforcement Learning, defines Agentic RL via MDP/POMDP abstractions, proposes a dual taxonomy of capabilities and task domains, compiles over 500 recent works, and outlines open challenges for scalable, robust AI agents.

AI AgentsAgentic RLLLM
0 likes · 12 min read
Agentic RL: Transforming LLMs into Autonomous Decision‑Making Agents
DataFunSummit
DataFunSummit
Sep 14, 2025 · Artificial Intelligence

How Tencent’s Large Language Models Boost Business with RAG, GraphRAG, and AI Agents

This article examines Tencent's large language model deployments across various business scenarios, detailing the use of Retrieval‑Augmented Generation, GraphRAG for role‑playing, and Agent technologies, while also outlining core application areas and the three main technical approaches—SFT, RAG, and Agents.

AI AgentsAI applicationsGraphRAG
0 likes · 4 min read
How Tencent’s Large Language Models Boost Business with RAG, GraphRAG, and AI Agents
xkx's Tech General Store
xkx's Tech General Store
Sep 14, 2025 · Artificial Intelligence

Exploring Agents 006: Tencent Youtu-Agent – A Simple, Highly Extensible General Agent

This article introduces Tencent's open‑source Youtu‑Agent, detailing its modular, configuration‑driven design, installation steps, benchmark performance on the WebWalkerQA dataset, and hands‑on test cases for SimpleAgent and Orchestra modes, while highlighting its extensibility and web UI capabilities.

AI AgentsDeepSeekLLM
0 likes · 12 min read
Exploring Agents 006: Tencent Youtu-Agent – A Simple, Highly Extensible General Agent
DataFunTalk
DataFunTalk
Sep 13, 2025 · Artificial Intelligence

How AI Agents Are Reshaping Software and Unlocking a Boom for Chinese Startups

Industry leaders discuss how AI is swallowing traditional software, the technical hurdles of high‑quality data, hallucination suppression, and medical ethics, while highlighting AI glasses, voice agents, and user‑retention metrics as key growth drivers for Chinese entrepreneurs in the coming year.

AIAI AgentsMedical AI
0 likes · 13 min read
How AI Agents Are Reshaping Software and Unlocking a Boom for Chinese Startups
Architecture and Beyond
Architecture and Beyond
Sep 12, 2025 · Artificial Intelligence

How Gemini CLI and Claude Code Achieve Context Isolation for AI Agents

This article examines the context isolation strategies employed by Gemini CLI and Claude Code in AI agents, detailing why isolation is essential, the multi‑layer memory architecture, tool execution pipelines, concurrency controls, session management, and practical recommendations for building robust, cost‑effective agent systems.

AI AgentsClaude CodeGemini CLI
0 likes · 15 min read
How Gemini CLI and Claude Code Achieve Context Isolation for AI Agents
AntTech
AntTech
Sep 12, 2025 · Artificial Intelligence

Is 2025 the Dawn of the AI Agent Era? Expert Insights from the Inclusion Conference

At the 2025 Inclusion·外滩大会 forum, leading academics and industry pioneers discussed rapid advances in AI agents, highlighting breakthroughs in multi‑agent systems, reinforcement learning, open‑source frameworks, and the practical challenges of cost, performance, and usability that still separate "usable" from truly "useful" technology.

AI AgentsOpen Source Frameworksmulti-agent systems
0 likes · 7 min read
Is 2025 the Dawn of the AI Agent Era? Expert Insights from the Inclusion Conference
Architect's Journey
Architect's Journey
Sep 12, 2025 · Artificial Intelligence

Coze vs Yuanqi: In‑Depth Comparison of Two AI Agent Platforms – Who Will Own the Future?

This article provides a detailed side‑by‑side analysis of ByteDance's Coze and Tencent's Yuanqi, examining their features, performance, ecosystem integration, free‑tier limits, target users, and future prospects to help developers and enterprises choose the platform that best fits their needs.

AI AgentsCozeEcosystem Integration
0 likes · 13 min read
Coze vs Yuanqi: In‑Depth Comparison of Two AI Agent Platforms – Who Will Own the Future?
Full-Stack Cultivation Path
Full-Stack Cultivation Path
Sep 11, 2025 · Artificial Intelligence

8 Powerful Open‑Source AI Agent Frameworks to Master Agent Development

Building robust AI agents involves complex task decomposition, tool use, multi‑agent collaboration and memory, but this article surveys eight open‑source frameworks—Autogen, crewAI, agno, eliza, Mastra, Trigger.dev, Motia, and agents—detailing their capabilities, language support, star counts and key use‑cases to help developers get started.

AI AgentsFrameworksPython
0 likes · 6 min read
8 Powerful Open‑Source AI Agent Frameworks to Master Agent Development
Instant Consumer Technology Team
Instant Consumer Technology Team
Sep 10, 2025 · Artificial Intelligence

Why AI Agents Fail and How Parlant Ensures Reliable, Controllable Bots

This article explains why most AI agents underperform due to low problem‑resolution rates, critiques traditional prompting methods, and introduces the Parlant framework with conditional rule activation, dual protection, and state‑machine architecture, followed by a complete implementation example and best‑practice guidance.

AI AgentsCustomer Service AutomationLLM
0 likes · 12 min read
Why AI Agents Fail and How Parlant Ensures Reliable, Controllable Bots
Amazon Cloud Developers
Amazon Cloud Developers
Sep 9, 2025 · Big Data

Build an Intelligent Data Quality Monitoring System with Strands Agents

The article explains why data quality is critical for modern businesses, outlines the challenges data engineers face when monitoring hundreds of models, and provides a step‑by‑step guide to constructing an automated, AI‑driven data quality monitoring system using Strands Agents, Amazon Bedrock, dbt and Amazon Redshift, including code examples, workflow orchestration, security hardening, containerized deployment and observability.

AI AgentsAmazon RedshiftData Quality
0 likes · 14 min read
Build an Intelligent Data Quality Monitoring System with Strands Agents
DataFunSummit
DataFunSummit
Sep 8, 2025 · Artificial Intelligence

How Ant Group’s Ragent Redefines LLM‑Based AI Agents on Ray

This article introduces Ant Group’s new Ray‑based distributed agent framework Ragent, outlines its background and motivation, and details the four core modules—Profile, Memory, Planning, and Action—that together enable sophisticated LLM‑driven AI agents for large‑scale applications.

AI AgentsAnt GroupLLM
0 likes · 4 min read
How Ant Group’s Ragent Redefines LLM‑Based AI Agents on Ray
DataFunSummit
DataFunSummit
Sep 7, 2025 · Artificial Intelligence

Inside Ant Group’s Ragent: Building Scalable AI Agents on Ray

This article introduces Ant Group’s Ragent, a Ray‑based distributed AI‑agent framework, covering its background, motivation, design and implementation, and detailing the four core modules—Profile, Memory, Planning, and Action—that enable large‑language‑model agents at massive scale.

AI AgentsAnt GroupRagent
0 likes · 4 min read
Inside Ant Group’s Ragent: Building Scalable AI Agents on Ray
DataFunTalk
DataFunTalk
Sep 5, 2025 · Artificial Intelligence

Inside Ant Group’s Ragent: Building Scalable AI Agents on Ray

This article introduces Ant Group’s Ray‑based distributed agent framework Ragent, outlines its background, motivation, and design, and details the four essential modules—Profile, Memory, Planning, and Action—that power large‑language‑model agents in large‑scale AI serving.

AI AgentsAnt GroupLLM
0 likes · 5 min read
Inside Ant Group’s Ragent: Building Scalable AI Agents on Ray
Alibaba Cloud Developer
Alibaba Cloud Developer
Sep 5, 2025 · Artificial Intelligence

How Browser-Use Leverages LLMs to Transform Browser Automation

This article explores Browser-Use, an AI‑driven browser automation framework that combines large language models, visual perception, and DOM analysis to enable intelligent, multi‑step web tasks such as registration, price comparison, form filling, and monitoring, while detailing its architecture, historical context, core modules, and future challenges.

AI AgentsLLMLangChain
0 likes · 26 min read
How Browser-Use Leverages LLMs to Transform Browser Automation
IT Services Circle
IT Services Circle
Sep 4, 2025 · Artificial Intelligence

4 Open‑Source AI Tools: Datasets, K‑Line Model, Real‑Time Speech, Agent Toolbox

This article introduces four high‑impact open‑source AI projects—a curated high‑quality dataset collection, the Kronos financial K‑line model, WhisperLiveKit for real‑time speech transcription, and Youtu‑agent for building versatile AI agents—highlighting their features, usage, and GitHub links.

AI Agentsdatasetsfinancial modeling
0 likes · 6 min read
4 Open‑Source AI Tools: Datasets, K‑Line Model, Real‑Time Speech, Agent Toolbox
xkx's Tech General Store
xkx's Tech General Store
Sep 4, 2025 · Artificial Intelligence

First Hands‑On with Camel AI‑OWL: Exploring a Multi‑Agent Framework

The article walks through installing the open‑source Camel AI‑OWL agent, explains its multi‑agent architecture, runs two practical test cases—retrieving GitHub statistics and generating a physics animation—and highlights strengths, UI shortcomings, tool‑registration issues, and the project's recent inactivity.

AI AgentsCamel AIMulti-agent
0 likes · 10 min read
First Hands‑On with Camel AI‑OWL: Exploring a Multi‑Agent Framework
Tencent Cloud Developer
Tencent Cloud Developer
Sep 4, 2025 · Artificial Intelligence

Why Youtu-Agent Sets a New Standard for Open‑Source AI Agents

Youtu-Agent, an open‑source agent framework released by Tencent Youtu Lab, combines minimalist design with high performance, delivers strong benchmark results without training or proprietary models, and offers flexible, cost‑effective, automated agent generation for researchers, developers, and AI enthusiasts.

AI AgentsLLMYoutu-Agent
0 likes · 12 min read
Why Youtu-Agent Sets a New Standard for Open‑Source AI Agents
JD Tech
JD Tech
Sep 3, 2025 · Artificial Intelligence

Launch a Multi‑Agent AI System in 20 Lines with OxyGent

This guide shows how to quickly build, configure, and deploy modular AI agents using the OxyGent framework—covering environment setup, minimal code initialization, tool integration, multi‑agent orchestration, and advanced deployment techniques—all illustrated with concise examples and screenshots.

AI AgentsMulti-agentOxyGent
0 likes · 4 min read
Launch a Multi‑Agent AI System in 20 Lines with OxyGent
Cognitive Technology Team
Cognitive Technology Team
Sep 3, 2025 · Artificial Intelligence

How to Build AI Agents that Auto‑Generate Helm Charts: Strategies, Pitfalls, and Best Practices

This article chronicles the author's hands‑on journey of designing AI agents to automatically generate Helm charts for open‑source applications, exploring agent role definition, behavior paradigms like ReAct and plan‑and‑execute, prompt engineering challenges, structured workflows, multi‑agent collaboration, and practical lessons for reliable, production‑grade automation.

AI AgentsAgent FrameworksHelm chart automation
0 likes · 29 min read
How to Build AI Agents that Auto‑Generate Helm Charts: Strategies, Pitfalls, and Best Practices
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Sep 1, 2025 · Industry Insights

How Large AI Models Will Redefine Software Development in the Next Few Years

The article analyzes how emerging large AI models are moving from simple code copying to intent‑driven programming, examines current tactical uses versus strategic design limits, presents real‑world examples like Vibe Coding, and forecasts both the opportunities and risks for software engineering over the next 2‑3 years.

AI Agentsfuture of developmentknowledge equity
0 likes · 10 min read
How Large AI Models Will Redefine Software Development in the Next Few Years
AI Info Trend
AI Info Trend
Sep 1, 2025 · Industry Insights

Why AI Coding Is Reaching a Production Breakpoint in 2025

The 2025 AI Coding market report reveals a shift from experimental tools to production‑grade solutions, driven by rapid model upgrades, rising developer adoption, soaring valuations for startups, and a transition toward autonomous agent‑based platforms that promise end‑to‑end software engineering.

AI AgentsAI codingindustry analysis
0 likes · 8 min read
Why AI Coding Is Reaching a Production Breakpoint in 2025
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Sep 1, 2025 · Artificial Intelligence

Exploring Leading AI Agent Development Platforms and Frameworks

This article surveys the most prominent AI agent development platforms—including Coze, Dify, CrewAI, Manus, and AutoGen—detailing their core features, integration capabilities, open‑source status, and how they enable developers to build, orchestrate, and deploy intelligent agents across diverse applications.

AI AgentsAgent platformsAutoGen
0 likes · 9 min read
Exploring Leading AI Agent Development Platforms and Frameworks
Fun with Large Models
Fun with Large Models
Sep 1, 2025 · Artificial Intelligence

Build a LangGraph AI Agent in Two Lines Using the Prebuilt Graph API

This tutorial shows how to set up a Python environment, install LangGraph, and use its high‑level prebuilt graph API—specifically create_react_agent—to quickly create a weather‑assistant AI agent with just two lines of code, illustrating the full tool‑calling workflow and ReACT loop.

AI AgentsLangGraphPython
0 likes · 11 min read
Build a LangGraph AI Agent in Two Lines Using the Prebuilt Graph API
Instant Consumer Technology Team
Instant Consumer Technology Team
Aug 29, 2025 · Artificial Intelligence

Why AI Coding Tools Need a Unified Agent Specification and How AGENTS.md Leads the Way

This article systematically reviews eight popular AI coding tools, compares their fragmented configuration mechanisms, introduces the OpenAI‑driven AGENTS.md specification, and proposes a broader Agent Specification Language (ASL) to unify agent rules across coding, design, and product domains while addressing security concerns.

AGENTS.mdAI AgentsAgent Specification Language
0 likes · 26 min read
Why AI Coding Tools Need a Unified Agent Specification and How AGENTS.md Leads the Way
Fun with Large Models
Fun with Large Models
Aug 28, 2025 · Artificial Intelligence

A Deep Dive into LangGraph: Understanding the New Graph‑Based AI Agent Framework

The article compares LangGraph with LangChain, explains why a graph‑based architecture offers greater flexibility than linear chains, outlines LangGraph’s three‑layer core architecture and its ecosystem tools—including LangSmith, LangGraph Studio, CLI, and Agent Chat UI—while noting its reliance on LangChain and the need for VPN for CLI usage.

AI AgentsGraph WorkflowLLM
0 likes · 11 min read
A Deep Dive into LangGraph: Understanding the New Graph‑Based AI Agent Framework
Wuming AI
Wuming AI
Aug 26, 2025 · Artificial Intelligence

A Layered Overview of Agentic AI: From LLM Foundations to Multi‑Agent Systems

This article presents a hierarchical breakdown of Agentic AI, detailing the foundational large language models, the capabilities of AI agents, the coordination mechanisms of multi‑agent systems, and the supporting infrastructure needed for reliability, scalability, and security.

AI AgentsAgentic AIInfrastructure
0 likes · 5 min read
A Layered Overview of Agentic AI: From LLM Foundations to Multi‑Agent Systems
21CTO
21CTO
Aug 25, 2025 · R&D Management

Why Engineering Managers Remain Crucial in the Age of AI Agents

Even as AI agents become commonplace, the article argues that skilled engineering managers are still essential for bridging technology and business, guiding development teams, handling interpersonal challenges, and ensuring that software delivers real customer value.

AI AgentsEngineering ManagementR&D
0 likes · 7 min read
Why Engineering Managers Remain Crucial in the Age of AI Agents
Alibaba Cloud Observability
Alibaba Cloud Observability
Aug 25, 2025 · Artificial Intelligence

From Code to AI Native Apps: The Evolution of Programming Paradigms

This article explores how programming paradigms have shifted from traditional languages to AI‑driven development, detailing AI Agent concepts, workflow versus agentic modes, single versus multi‑agent strategies, prompt versus context engineering, the reference architecture with Spring AI Alibaba, Nacos, Higress and RocketMQ, and the observability solutions built on OpenTelemetry and LoongSuite.

AIAI AgentsNacos
0 likes · 20 min read
From Code to AI Native Apps: The Evolution of Programming Paradigms
DataFunTalk
DataFunTalk
Aug 25, 2025 · Artificial Intelligence

Why AI Agents Are the Next Billion‑Dollar Play: 2025 Insights from the Top 30 Revenue Leaders

The 2025 AI‑Agent market analysis reveals a $27.2 billion ARR across 30 private firms, highlighting extreme concentration at the top, high human‑efficiency ratios, valuation multiples, and three growth pillars—high‑value tasks, product‑led organization, and capital preference for steep early‑stage curves—offering actionable strategies for founders and investors.

AI AgentsAI marketARR
0 likes · 23 min read
Why AI Agents Are the Next Billion‑Dollar Play: 2025 Insights from the Top 30 Revenue Leaders
DataFunSummit
DataFunSummit
Aug 23, 2025 · Artificial Intelligence

Mastering Role‑Playing AI Agents: Challenges, Techniques, and Future Directions

This article surveys the latest research on role‑playing AI agents, covering their definition, core components, application scenarios, three main challenges—role fidelity, long‑term memory, and evaluation—and presents four technical approaches for each challenge along with future research directions and references.

AI AgentsMemoryevaluation
0 likes · 22 min read
Mastering Role‑Playing AI Agents: Challenges, Techniques, and Future Directions
21CTO
21CTO
Aug 21, 2025 · Artificial Intelligence

Why Most AI Agent Projects Fail and How to Benchmark Their Capabilities

The article analyzes why AI agent initiatives often flop compared to traditional software, explains the fundamental differences in development approaches, and introduces a three‑step Agent Capability Benchmark Testing framework with concrete evaluation criteria and a practical weekly‑report agent example.

AI AgentsAgent DevelopmentLLM
0 likes · 12 min read
Why Most AI Agent Projects Fail and How to Benchmark Their Capabilities
Volcano Engine Developer Services
Volcano Engine Developer Services
Aug 21, 2025 · Artificial Intelligence

Why Prompt Engineering Isn’t Enough: The Rise of Context Engineering and RAG

Since last year, the debate over “Prompt Engineering” has split between practitioners who favor “Context Engineering” for building scalable agent systems and scholars who treat Prompt Engineering as a broad umbrella term, highlighting the need to dynamically construct and manage context for reliable, extensible AI applications.

AI AgentsLLMRAG
0 likes · 33 min read
Why Prompt Engineering Isn’t Enough: The Rise of Context Engineering and RAG
AI Info Trend
AI Info Trend
Aug 21, 2025 · Industry Insights

How AI Agents Can Turn the Gen‑AI Paradox into Real Business Value

This article distills McKinsey’s latest report on Agentic AI, explaining why widespread generative AI adoption has delivered limited economic impact, how AI agents can unlock scalable value across vertical use‑cases, and what CEOs must do to lead the transition to an agent‑centric enterprise.

AI Agentsagentic AI meshenterprise transformation
0 likes · 9 min read
How AI Agents Can Turn the Gen‑AI Paradox into Real Business Value
21CTO
21CTO
Aug 19, 2025 · Artificial Intelligence

How Crawl4AI Transforms Web Scraping with AI‑Powered Automation

Crawl4AI is an open‑source AI agent that automates web crawling and data extraction, offering free usage, intelligent parsing, structured JSON/Markdown output, and versatile features like scrolling, multi‑URL scraping, media and metadata extraction, all demonstrated through step‑by‑step Python examples and integration with AI agents.

AI AgentsCrawl4AILLM extraction
0 likes · 8 min read
How Crawl4AI Transforms Web Scraping with AI‑Powered Automation
Tencent Cloud Developer
Tencent Cloud Developer
Aug 19, 2025 · Artificial Intelligence

Demystifying LLMs: From Transformers to Agents, Prompts, and Function Calling

This article explains the fundamentals of large language models, covering transformer self‑attention, prompt engineering, API usage with temperature and tool parameters, function calling, agent architectures, the Model Context Protocol (MCP), Agent‑to‑Agent (A2A) communication, and future AI programming roles.

A2AAI AgentsFunction Calling
0 likes · 11 min read
Demystifying LLMs: From Transformers to Agents, Prompts, and Function Calling
AndroidPub
AndroidPub
Aug 19, 2025 · Artificial Intelligence

Demystifying AI Jargon: From Prompts to Agents, Tools, and MCP Protocol

This article breaks down the confusing AI buzzwords—user prompts, system prompts, agents, tool registration, function calling, and the MCP protocol—explaining how they work together to enable AI assistants that can perform real tasks beyond simple chat.

AI AgentsAI promptsFunction Calling
0 likes · 8 min read
Demystifying AI Jargon: From Prompts to Agents, Tools, and MCP Protocol
21CTO
21CTO
Aug 15, 2025 · Artificial Intelligence

Why Developers Trust AI Less Even as Adoption Soars: 2025 Survey Insights

According to Stack Overflow’s 2025 developer survey of 49,000 respondents from 177 countries, AI tool usage has surged to 84% with many relying daily, yet trust in AI outputs has plummeted, revealing growing skepticism, productivity challenges, and shifting attitudes toward AI agents, remote work, and salaries.

AI AdoptionAI AgentsRemote Work
0 likes · 9 min read
Why Developers Trust AI Less Even as Adoption Soars: 2025 Survey Insights
21CTO
21CTO
Aug 15, 2025 · Artificial Intelligence

Build a Working AI Agent in 5 Days: Guide with GPT, n8n, CrewAI & Streamlit

Learn how to create a functional AI agent from scratch in just five days by leveraging GPT for the brain, n8n for automation, CrewAI for multi‑agent orchestration, Cursor for code generation, and Streamlit for a user interface, complete with step‑by‑step instructions and ready‑to‑run Python code.

AI AgentsCrewAIGPT
0 likes · 15 min read
Build a Working AI Agent in 5 Days: Guide with GPT, n8n, CrewAI & Streamlit
Instant Consumer Technology Team
Instant Consumer Technology Team
Aug 15, 2025 · Artificial Intelligence

Why Building Enterprise AI Agents Feels Like Building a Distributed Brain

An engineer recounts the hard‑earned lessons from moving beyond RAG to enterprise‑level AI agents, exposing three critical challenges—scheduling, memory management, and tool integration—and proposes architectural patterns that turn fragile prototypes into robust, observable, and secure AI systems.

AI AgentsAgentic EngineeringEnterprise AI
0 likes · 9 min read
Why Building Enterprise AI Agents Feels Like Building a Distributed Brain
AI Product Manager Community
AI Product Manager Community
Aug 14, 2025 · Industry Insights

Transforming Business Workflows with AI Agents: Real‑World Cases and Implementation Guide

AI agents are reshaping enterprise workflows by replacing manual, tool‑based tasks with autonomous, event‑driven processes, as illustrated through customer service, design project acceleration, and cross‑department collaboration cases, and the article outlines why they work, how to implement them, and future digital‑twin trends.

AI AgentsDigital TransformationEnterprise AI
0 likes · 8 min read
Transforming Business Workflows with AI Agents: Real‑World Cases and Implementation Guide
DaTaobao Tech
DaTaobao Tech
Aug 13, 2025 · Artificial Intelligence

Unlocking AI Power: A Complete Guide to Prompt Engineering and Advanced Techniques

This article explores the emerging field of prompt engineering, detailing its fundamentals, advanced strategies such as chain‑of‑thought, ReAct, and structured frameworks, and demonstrates practical applications in AI agents for data retrieval, SQL generation, and market insight, offering actionable guidance for developers and business users alike.

AI AgentsData RetrievalRAG
0 likes · 42 min read
Unlocking AI Power: A Complete Guide to Prompt Engineering and Advanced Techniques
AI Info Trend
AI Info Trend
Aug 11, 2025 · Industry Insights

What Q2 2025 Reveals About the AI Landscape: Key Trends and Model Rankings

The Q2 2025 State of AI Highlights Report analyzes benchmark data, model performance, and market dynamics, revealing five major industry trends, the rise of AI agents, rapid advances in language, vision, and speech models, and shifting hardware acceleration strategies that shape the future of artificial intelligence.

AIAI AgentsModel Performance
0 likes · 11 min read
What Q2 2025 Reveals About the AI Landscape: Key Trends and Model Rankings
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 11, 2025 · Artificial Intelligence

How Fine‑Tuning Large Models Solves Code Upgrade Challenges and Boosts Stable Module Matching

This article details an innovative approach that uses large‑model supervised fine‑tuning to overcome the instability of code RAG and code agents during open‑source repository upgrades, addressing domain‑specific terminology, code style differences, and improving recall, accuracy, and deployment efficiency.

AI AgentsLLMRAG
0 likes · 11 min read
How Fine‑Tuning Large Models Solves Code Upgrade Challenges and Boosts Stable Module Matching
AI Info Trend
AI Info Trend
Aug 4, 2025 · Industry Insights

What the Top 20 AI Agent Startups Reveal About the Industry’s Commercial Boom

CB Insights’ newly released ranking of the world’s highest‑revenue AI Agent startups uncovers a stark revenue gap between the leader and the 20th place, highlights dominant software‑development applications, shows a surge of young companies, and signals a pivotal commercialization inflection point for the AI Agent market.

AIAI AgentsCommercialization
0 likes · 7 min read
What the Top 20 AI Agent Startups Reveal About the Industry’s Commercial Boom
Data Thinking Notes
Data Thinking Notes
Aug 3, 2025 · Artificial Intelligence

Choosing the Right AI Agent Framework: LangGraph, AutoGen, Dify, and More

This article offers a detailed comparison of leading AI agent development frameworks—including LangGraph, AutoGen, Dify, Coze, MetaGPT, and OpenAI Agents—across core positioning, technical features, typical use cases, cost models, community support, and official resources, followed by practical selection guidance for various business scenarios.

AI AgentsAutoGenDify
0 likes · 10 min read
Choosing the Right AI Agent Framework: LangGraph, AutoGen, Dify, and More
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Aug 2, 2025 · Artificial Intelligence

How ByteDance’s TRAE Agent Redefines AI-Powered Software Engineering

ByteDance’s TRAE Agent achieves a record 75.20% success on the SWE‑bench benchmark by bridging the “complexity gap” between function‑level and repository‑level tasks through a three‑stage pipeline—patch generation, pruning, and selection—augmented with ensemble reasoning, multi‑model integration, and a novel test‑time scaling mechanism.

AI AgentsSWE-benchTest-Time Scaling
0 likes · 14 min read
How ByteDance’s TRAE Agent Redefines AI-Powered Software Engineering
Ubiquitous Tech
Ubiquitous Tech
Aug 2, 2025 · Artificial Intelligence

Exploring JoyAgent‑JDGenie: Core Workflow and Prompt Engineering (Part 2)

This article walks through the JoyAgent‑JDGenie open‑source AI agent framework, detailing its multi‑agent architecture, backend and frontend components, deployment steps, configuration files, and the comprehensive prompt templates that drive planning, execution, and ReAct‑style reasoning.

AI AgentsJoyAgent-JDGenieMCP integration
0 likes · 27 min read
Exploring JoyAgent‑JDGenie: Core Workflow and Prompt Engineering (Part 2)
Fun with Large Models
Fun with Large Models
Jul 30, 2025 · Artificial Intelligence

LangChain Tool Integration: Step‑by‑Step Guide to Built‑in and Custom Functions

This article walks through how to integrate LangChain's built‑in tools and user‑defined functions into AI agents, covering environment setup, installing dependencies, using the Python code interpreter tool, binding tools to a model, parsing tool calls with JsonOutputKeyToolsParser, and demonstrating both a data‑analysis example and a weather‑lookup function.

AI AgentsFunction CallingLangChain
0 likes · 13 min read
LangChain Tool Integration: Step‑by‑Step Guide to Built‑in and Custom Functions
360 Tech Engineering
360 Tech Engineering
Jul 28, 2025 · Artificial Intelligence

Why Specialized AI Agents Will Outpace General Ones – Insights from Zhou Hongyi

In a July 2025 speech at the China Internet Conference, Zhou Hongyi highlighted the shift from generic to vertical AI agents, China’s unique ecosystem, emerging security risks, and 360’s initiatives—including security agents, AI‑enhanced browsers, AI search, a massive agent community, and an agent factory—foreseeing 2025 as the pivotal "Year of AI Agents" that will reshape enterprises and human roles.

AI AgentsDigital TransformationEnterprise AI
0 likes · 7 min read
Why Specialized AI Agents Will Outpace General Ones – Insights from Zhou Hongyi
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jul 28, 2025 · Artificial Intelligence

How Enterprise AI Agents Move From Efficiency Silos to Value Resonance

The article explains how enterprise AI agents shift from a command‑response model to a goal‑execution paradigm, outlines a layered LLM architecture, tool integration, and memory systems, and demonstrates three practical use cases that create clear value loops for R&D, marketing, and customer service.

AI AgentsEnterprise AILLM Architecture
0 likes · 13 min read
How Enterprise AI Agents Move From Efficiency Silos to Value Resonance
Architecture and Beyond
Architecture and Beyond
Jul 27, 2025 · Artificial Intelligence

Why Context Engineering Is the Secret to Powerful AI Agents

This article explains how AI agents work through perception, planning, and action, describes the four supporting systems—memory, tools, safety, and evaluation—and shows how the evolution from prompt engineering to context engineering, with strategies like selective saving, retrieval, compression, and modularization, addresses the core challenges of managing large‑scale context for reliable, efficient agent performance.

AI AgentsContext EngineeringLLM
0 likes · 17 min read
Why Context Engineering Is the Secret to Powerful AI Agents
Fighter's World
Fighter's World
Jul 25, 2025 · Artificial Intelligence

Why AI Is the Ultimate Leverage for Individuals

The article explains how AI functions as a permission‑less compound leverage—combining labor and code levers—to reshape personal productivity, team dynamics, and societal progress, while outlining the cognitive biases that hide its impact, the evolution of leverage concepts, and the competitive lifecycle of new AI‑driven wealth creation mechanisms.

AIAI AgentsArtificial Intelligence
0 likes · 27 min read
Why AI Is the Ultimate Leverage for Individuals
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Jul 25, 2025 · Operations

How Baidu’s Lingxi Agent Uses LLMs to Automate Network Fault Diagnosis

This article details Baidu's evolution from manual network fault analysis to a multi‑agent AI platform, describing how the Lingxi intelligent agent leverages large language models, MCP tools, and design patterns to automate latency queries, generate analysis reports, and integrate with existing monitoring services.

AI AgentsMCP protocolnetwork operations
0 likes · 19 min read
How Baidu’s Lingxi Agent Uses LLMs to Automate Network Fault Diagnosis
Instant Consumer Technology Team
Instant Consumer Technology Team
Jul 24, 2025 · Artificial Intelligence

Inside Claude Code: How a Local AI Agent OS Was Reverse‑Engineered

An in‑depth reverse‑engineering of Anthropic’s Claude Code reveals its multi‑agent architecture, real‑time steering queue, and novel context‑compression engine, exposing the 50k+ line obfuscated JavaScript core, the Agent scheduling layers, tool ecosystem, and storage system that power this local AI coding assistant.

AI AgentsClaude CodeJavaScript obfuscation
0 likes · 11 min read
Inside Claude Code: How a Local AI Agent OS Was Reverse‑Engineered
Data Thinking Notes
Data Thinking Notes
Jul 22, 2025 · Artificial Intelligence

How AI Agents Are Driving the Next Wave of Industry Efficiency

This report examines the rise of AI agents as the primary form of large‑model applications, detailing their development overview, core technologies, industry use cases, current challenges, and strategic recommendations to accelerate the integration of artificial intelligence with the real economy.

AI AgentsAI applicationsindustry integration
0 likes · 8 min read
How AI Agents Are Driving the Next Wave of Industry Efficiency