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AI Agents

1861 articles · Page 17 of 19
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 AgentsAI adoptionAI 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
Fun with Large Models
Fun with Large Models
Sep 27, 2025 · Artificial Intelligence

Building a ReACT Agent with LangGraph’s Low‑Level API (Part 8)

This tutorial shows how to use LangGraph’s low‑level API to create a multi‑turn chatbot, define structured state, add model and tool nodes, implement conditional branching for tool calls, and reproduce a ReACT graph agent with a weather‑assistant example.

AI AgentsLangGraphMulti-turn Dialogue
0 likes · 12 min read
Building a ReACT Agent with LangGraph’s Low‑Level API (Part 8)
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 AgentsAutomationGitHub
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 AgentsCozeEvaluation Framework
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 AgentsLarge Language ModelsRepoMaster
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 CodeContext Isolation
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 AgentsLLMParlant
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 pipelines
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 AgentsHelm chart automationKubernetes
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 AgentsLarge Language ModelsSoftware Architecture
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 AILLM
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 ManagementLeadership
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 AgentsEvaluationLarge Language Models
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 AgentsLLMPrompt Engineering
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 AgentsLLMPrompt Engineering
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 AgentsAutomationCrawl4AI
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 AgentsAI adoptionremote 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 AgentsBusiness Process AutomationEnterprise 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 AgentsChain-of-ThoughtData Retrieval
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 AgentsLarge Language Models
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
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Aug 8, 2025 · Artificial Intelligence

Can GitOps Power Low‑Cost LLM Agents? A Hands‑On Exploration

This article examines how the Manus sandbox and CodeAct mechanisms inspire a GitOps‑based approach to building LLM agents, detailing the design of planner and executor components, workflow steps, advantages such as RAG and observability, and the potential for low‑cost, scalable intelligent agent development.

AI AgentsGitOpsIntelligent Agents
0 likes · 12 min read
Can GitOps Power Low‑Cost LLM Agents? A Hands‑On Exploration
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-benchTrae
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 AgentsEnterprise AIdigital transformation
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 AgentsAutomationEnterprise AI
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 ApplicationsLarge Models
0 likes · 8 min read
How AI Agents Are Driving the Next Wave of Industry Efficiency
AI Info Trend
AI Info Trend
Jul 22, 2025 · Industry Insights

Why Most AI Projects Miss the Mark and How Leaders Close the Value Gap

A data‑driven analysis of BCG’s 2025 AI report reveals why only 25% of executives see significant AI value, outlines three core principles successful firms follow, and highlights emerging AI Agent trends and practical CEO guidance for closing the AI impact gap.

AIAI AgentsAI investment
0 likes · 6 min read
Why Most AI Projects Miss the Mark and How Leaders Close the Value Gap
FunTester
FunTester
Jul 21, 2025 · Artificial Intelligence

How First Principles Shape the Future of AI Agents: Evolution, Capabilities, and Emerging Trends

This article explores how first‑principle reasoning underpins the development of AI agents, traces their collaborative technology evolution, details core capabilities such as compute, memory, prediction and action, and forecasts future directions like multimodal models, reduced prompting, and extensive data sharing.

AI AgentsArtificial IntelligenceFuture AI
0 likes · 15 min read
How First Principles Shape the Future of AI Agents: Evolution, Capabilities, and Emerging Trends
DataFunTalk
DataFunTalk
Jul 19, 2025 · Artificial Intelligence

Mastering Context Engineering for AI Agents: KV-Cache, Tool Management, and Error Handling

Peak, co‑founder of Manus, shares practical lessons on building AI agents through context engineering, emphasizing KV‑cache optimization, stable prompt prefixes, controlled tool selection, file‑system memory, attention‑directed todo lists, and preserving error traces to improve robustness and scalability.

AI AgentsContext EngineeringKV cache
0 likes · 14 min read
Mastering Context Engineering for AI Agents: KV-Cache, Tool Management, and Error Handling
21CTO
21CTO
Jul 19, 2025 · Artificial Intelligence

What Is the New Agent2Agent (A2A) Protocol and How Will It Shape AI Agent Interoperability?

At the North America Open Source Summit, the Linux Foundation announced the formation of the Agent2Agent (A2A) project, a vendor‑neutral open standard, SDK, and tools for AI agents, backed by AWS, Cisco, Google, Microsoft, Salesforce, SAP and ServiceNow to foster interoperable, secure AI ecosystems.

AI AgentsAI EcosystemAgent2Agent
0 likes · 6 min read
What Is the New Agent2Agent (A2A) Protocol and How Will It Shape AI Agent Interoperability?
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Jul 18, 2025 · Artificial Intelligence

OpenAI Unveils Unified ChatGPT Agent—How a 10‑20 Person Startup Can Rival Tech Giants

OpenAI combined Operator, Deep Research, and ChatGPT into a single agent that can browse the web, run code, and generate PPT or Excel files, achieving record scores on HLE, FrontierMath, BrowseComp and SpreadsheetBench, while demonstrating real‑world tasks like wedding planning and sticker ordering, highlighting AI as a productivity lever for small teams.

AI AgentsAI leverageChatGPT
0 likes · 11 min read
OpenAI Unveils Unified ChatGPT Agent—How a 10‑20 Person Startup Can Rival Tech Giants
DataFunSummit
DataFunSummit
Jul 17, 2025 · Artificial Intelligence

Empowering Ethical AI: Multi-Agent Systems Design & Real-World Cases

In this talk, Lenovo HCI researcher Sun Jingwei explores how the rapid rise of large language models is shifting human‑computer interaction toward multi‑agent systems, presents two practical case studies—one enhancing cognitive diversity and another fostering emotional connection for seniors—and distills design principles and future AI‑for‑good directions.

AI AgentsAI for goodDesign Principles
0 likes · 13 min read
Empowering Ethical AI: Multi-Agent Systems Design & Real-World Cases
Tencent Cloud Developer
Tencent Cloud Developer
Jul 16, 2025 · Artificial Intelligence

How First Principles Shape the Future of AI Agents: Evolution, Capabilities, and Trends

This article explores how first‑principle thinking underpins AI agents, traces their development from single‑craftsman tools to enterprise‑level collaborations, outlines core capabilities such as compute, memory, prediction and action, and forecasts future directions like multimodal models, reduced prompting, and extensive data sharing.

AI AgentsFuture AIMultimodal AI
0 likes · 15 min read
How First Principles Shape the Future of AI Agents: Evolution, Capabilities, and Trends
Instant Consumer Technology Team
Instant Consumer Technology Team
Jul 14, 2025 · Artificial Intelligence

9 Essential Technologies for Building Scalable AI Agents

An in‑depth guide outlines the nine core technologies—ranging from autonomous agent fundamentals and multi‑agent collaboration to workflow orchestration, retrieval‑augmented generation, fine‑tuning, function calling, model context protocols, agent‑to‑agent communication, and AI‑driven UI—required to design, deploy, and scale enterprise‑grade AI agents.

AI AgentsAgent ArchitectureFunction Calling
0 likes · 9 min read
9 Essential Technologies for Building Scalable AI Agents
Alibaba Middleware
Alibaba Middleware
Jul 10, 2025 · Artificial Intelligence

How Context Engineering Builds a Moat for Vertical and Domain Agents

The article explains how context engineering—evolving from simple prompts to structured information pipelines—enhances the reliability of vertical and domain-specific AI agents, outlines common failure modes such as context poisoning, and presents practical strategies like intelligent retrieval, isolation, pruning, and compression to construct robust agent systems.

AI AgentsContext EngineeringLarge Language Models
0 likes · 19 min read
How Context Engineering Builds a Moat for Vertical and Domain Agents
DataFunSummit
DataFunSummit
Jul 10, 2025 · Artificial Intelligence

How Large Language Model AI Agents Transform Intelligent Operations and On‑Call Support

This article details the design and implementation of a large‑model‑driven intelligent operations dialogue system, covering intent recognition, routing, multi‑agent planning, RAG, workflow, ReAct, reflection, tree‑search techniques, evaluation challenges, and future multi‑agent collaboration for on‑call support.

AI AgentsIntelligent OperationsRAG
0 likes · 23 min read
How Large Language Model AI Agents Transform Intelligent Operations and On‑Call Support
Chen Tian Universe
Chen Tian Universe
Jul 9, 2025 · Artificial Intelligence

How WeChat Pay MCP Turns AI Agents into Paid Services – A Hands‑On Guide

WeChat recently opened its WeChat Pay MCP, a Model Context Protocol that lets AI agents seamlessly accept payments, and this article walks through setting up the integration, showcases a health‑meal demo, discusses potential misuse scenarios, and warns of emerging security risks.

AI AgentsArtificial IntelligenceMCP
0 likes · 16 min read
How WeChat Pay MCP Turns AI Agents into Paid Services – A Hands‑On Guide
Big Data Technology & Architecture
Big Data Technology & Architecture
Jul 8, 2025 · Big Data

Flink’s AI Agents and Disaggregated State: Transforming Big Data

The article reviews key topics from the FFA2025 Singapore conference, highlighting Flink’s new AI‑focused Agents framework, the breakthrough Flink 2.0 disaggregated state architecture, emerging lake storage solutions like Paimon, and the Fluss streaming table store, illustrating how big‑data platforms are evolving for AI workloads.

AI AgentsBig DataData Lake
0 likes · 6 min read
Flink’s AI Agents and Disaggregated State: Transforming Big Data
Architect
Architect
Jul 6, 2025 · Artificial Intelligence

How Graphs Empower AI Agents: Taxonomy, Advances, and Future Opportunities

An extensive review introduces a taxonomy for integrating graph techniques with AI agents, detailing how graphs enhance core functions such as planning, execution, memory, and multi‑agent coordination, and discusses representative applications, challenges, and future research directions.

AI Agentsgraph neural networksknowledge graphs
0 likes · 9 min read
How Graphs Empower AI Agents: Taxonomy, Advances, and Future Opportunities
dbaplus Community
dbaplus Community
Jul 6, 2025 · Artificial Intelligence

Why Build AI Agents? Benefits, Challenges, and Real-World Examples

This article explores the definition of AI agents, examines why they are essential despite challenges like latency and hallucinations, highlights their advantages such as lowered development barriers and workflow simplification, and presents real-world cases and future multi‑agent prospects.

AI AgentsLarge Language ModelsPrompt Engineering
0 likes · 25 min read
Why Build AI Agents? Benefits, Challenges, and Real-World Examples
Continuous Delivery 2.0
Continuous Delivery 2.0
Jul 3, 2025 · Artificial Intelligence

How Specialized Micro‑Agents Cut False Positives by 51% in AI Code Review

The article shares practical lessons from building the Cubic AI code‑review platform, showing how breaking a monolithic LLM into focused micro‑agents, adding explicit reasoning logs, and streamlining toolchains reduced false‑positive comments by 51% and dramatically improved developer trust.

AI Agentscode reviewexplicit reasoning
0 likes · 7 min read
How Specialized Micro‑Agents Cut False Positives by 51% in AI Code Review
DataFunTalk
DataFunTalk
Jul 2, 2025 · Artificial Intelligence

How GLM-4.1V-Thinking Sets New Standards in Multimodal AI Reasoning

Zhipu AI unveiled the GLM-4.1V-Thinking series, an open‑source multimodal model that outperforms larger rivals on visual‑language tasks, supports video analysis, GUI agents, and advanced scientific reasoning, while introducing a curriculum‑sampling reinforcement‑learning framework and a new Agent application platform.

AI AgentsGLM-4.1VMultimodal AI
0 likes · 10 min read
How GLM-4.1V-Thinking Sets New Standards in Multimodal AI Reasoning
Smart Era Software Development
Smart Era Software Development
Jul 2, 2025 · Artificial Intelligence

Is Prompt Engineering Obsolete? How Context Engineering Redefines AI Architecture

The article argues that as large language models become more capable, the key to successful AI applications shifts from clever prompting to robust context engineering—a dynamic, system‑level practice that supplies precise information, appropriate tools, and proper formatting to ensure stable, production‑grade agent behavior.

AI AgentsContext EngineeringLarge Language Models
0 likes · 9 min read
Is Prompt Engineering Obsolete? How Context Engineering Redefines AI Architecture
Architect
Architect
Jun 28, 2025 · Artificial Intelligence

How MultiAgentPPT Generates Slides with AI Agents: Architecture and Code Walkthrough

This article examines the MultiAgentPPT project, detailing its multi‑agent workflow, the four core agents that generate outlines, split topics, conduct research, and summarize results, and explains how the system retrieves data via a WeChat crawler and constructs prompts for LLM‑driven PPT creation.

AI AgentsMultiAgentPPTPPT Generation
0 likes · 6 min read
How MultiAgentPPT Generates Slides with AI Agents: Architecture and Code Walkthrough
Cognitive Technology Team
Cognitive Technology Team
Jun 26, 2025 · Backend Development

Why MCP Dropped SSE for Streamable HTTP: A Deep Dive

The article explains how the Model Context Protocol (MCP) is shifting from Server‑Sent Events to a single‑endpoint, bidirectional Streamable HTTP transport, detailing the limitations of SSE, the benefits of the new approach, compatibility strategies, and upcoming features for developers.

AI AgentsMCPSSE
0 likes · 15 min read
Why MCP Dropped SSE for Streamable HTTP: A Deep Dive