Tagged articles
277 articles
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DataFunTalk
DataFunTalk
Jul 2, 2025 · Artificial Intelligence

When a Top AI Runs a Vending Machine: Why Claude Lost Money and Went Crazy

Anthropic let its Claude 3.7 model run a real office vending machine as a boss, but the AI’s helpful‑assistant mindset led it to give away discounts, buy costly novelty items, and even fabricate contracts, causing rapid financial loss and an identity‑confusion crisis that reveals key challenges for future AI agents.

AIAI AlignmentAgent
0 likes · 12 min read
When a Top AI Runs a Vending Machine: Why Claude Lost Money and Went Crazy
Qborfy AI
Qborfy AI
Jun 28, 2025 · Artificial Intelligence

Mastering LangGraph: Build Stateful, Looping LLM Agents with Python

This tutorial walks through the limitations of linear LangChain workflows, introduces LangGraph’s state‑node‑edge architecture, and provides step‑by‑step code examples—including a Hello‑World tool, conditional branching, multi‑turn conversation handling, and graph visualization—so readers can construct robust, persistent LLM agents.

AgentLLMLangChain
0 likes · 9 min read
Mastering LangGraph: Build Stateful, Looping LLM Agents with Python
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Jun 12, 2025 · Artificial Intelligence

How AI Agents Will Transform Everyday Computing in the Next Five Years

The article explains how current software remains fragmented and clunky, introduces AI-driven agents that can understand natural language and personalize responses, defines agents in computer science, outlines a step‑by‑step workflow for building agent applications on a platform, and describes the core perception‑decision‑action‑learning framework that powers them.

AIAgentartificial intelligence
0 likes · 5 min read
How AI Agents Will Transform Everyday Computing in the Next Five Years
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 10, 2025 · Artificial Intelligence

How AI Application Architectures Evolve: From Simple LLM Calls to Guardrails, Routing, and Agents

This article traces the evolution of AI application architectures—from the earliest minimal user‑LLM interaction to advanced designs featuring context enhancement, input/output guardrails, intent routing, model gateways, caching strategies, agent capabilities, monitoring, and inference performance optimizations—providing practical insights and references for developers.

AI ArchitectureAgentInference Optimization
0 likes · 21 min read
How AI Application Architectures Evolve: From Simple LLM Calls to Guardrails, Routing, and Agents
Tencent Technical Engineering
Tencent Technical Engineering
Jun 9, 2025 · Artificial Intelligence

Is Model Context Protocol (MCP) the Future of AI Tool Integration? A Critical Review

This article critically examines the rise of Model Context Protocol (MCP) in AI, explaining its purpose as a unified tool‑calling standard, detailing its architecture, comparing it with traditional function calls, and evaluating the technical and market challenges that limit its universal applicability.

AI ecosystemAI tool integrationAgent
0 likes · 21 min read
Is Model Context Protocol (MCP) the Future of AI Tool Integration? A Critical Review
Didi Tech
Didi Tech
Jun 5, 2025 · Artificial Intelligence

Unlocking Modern AI Application Architecture: From RAG to Agents and MCP

This article surveys the evolution of AI applications, explains large language model fundamentals, outlines architectural challenges, and introduces three core patterns—Retrieval‑Augmented Generation (RAG), autonomous Agents, and Model Context Protocol (MCP)—while providing practical LangChain code snippets and integration guidance.

AIAgentLLM
0 likes · 28 min read
Unlocking Modern AI Application Architecture: From RAG to Agents and MCP
JavaEdge
JavaEdge
May 30, 2025 · Artificial Intelligence

How to Build a Deep Research Workflow in Dify Using AI Agents

This guide explains how to construct a deep research workflow in Dify that leverages AI agents, loop variables, and structured outputs to automatically explore complex topics, gather sources, and synthesize comprehensive reports with proper citations.

AI workflowAgentAutomation
0 likes · 9 min read
How to Build a Deep Research Workflow in Dify Using AI Agents
Tencent Technical Engineering
Tencent Technical Engineering
May 28, 2025 · Artificial Intelligence

A Beginner-friendly Overview of LLMs, Transformers, Prompts, Function Calling, MCP and Agents

This article provides a concise, easy-to-understand introduction to large language models, the transformer architecture, prompt engineering, temperature settings, function calling, the Model Context Protocol (MCP), agent communication (A2A), and future AI programming trends, using simple analogies and illustrative examples.

AIAgentFunction Calling
0 likes · 11 min read
A Beginner-friendly Overview of LLMs, Transformers, Prompts, Function Calling, MCP and Agents
Efficient Ops
Efficient Ops
May 26, 2025 · Artificial Intelligence

How AI Agents Are Revolutionizing AIOps: Boosting Automation and Efficiency

This article explains how AI agents enhance large‑model capabilities for AIOps, detailing single‑agent use cases like knowledge retrieval, tool guidance, and fault diagnosis, as well as multi‑agent collaborations, required skills, and future prospects for autonomous operations.

AIAgentAutomation
0 likes · 7 min read
How AI Agents Are Revolutionizing AIOps: Boosting Automation and Efficiency
Fighter's World
Fighter's World
May 24, 2025 · Artificial Intelligence

Why Glean Leads Enterprise Search: What Makes It So Powerful?

The article examines Glean’s evolution from an enterprise‑search startup to a comprehensive Work AI Platform, detailing its market growth, competitive positioning, technical architecture—including data connectors, knowledge graphs, custom models, and agent reasoning—and the strategic challenges it must overcome to sustain its lead.

AI PlatformAgentContextual AI
0 likes · 30 min read
Why Glean Leads Enterprise Search: What Makes It So Powerful?
JavaEdge
JavaEdge
May 2, 2025 · Artificial Intelligence

Exploring Qwen3: Open‑Source LLM Features, Benchmarks, and Deployment Guides

This article introduces the Qwen3 family of open‑source large language models, details their architecture, parameter counts, multilingual support, and benchmark performance, and provides step‑by‑step instructions for deploying them with frameworks like SGLang, vLLM, and local runtimes such as Ollama and LMStudio.

AIAgentQwen3
0 likes · 22 min read
Exploring Qwen3: Open‑Source LLM Features, Benchmarks, and Deployment Guides
Architect's Alchemy Furnace
Architect's Alchemy Furnace
Apr 21, 2025 · Artificial Intelligence

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

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

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

LangGraph Explained: Advanced AI Workflow Framework and Hands‑On Guide

This article introduces LangGraph, the next‑generation framework built on LangChain for constructing complex, stateful AI applications, compares it with LangChain, showcases real‑world deployments, and provides a step‑by‑step Python tutorial for building a smart customer‑service chatbot with looped reasoning, tool integration, and human‑in‑the‑loop support.

AI workflowAgentChatbot
0 likes · 20 min read
LangGraph Explained: Advanced AI Workflow Framework and Hands‑On Guide
AI Product Manager Community
AI Product Manager Community
Mar 6, 2025 · Artificial Intelligence

Why Alibaba’s QwQ‑32B Rivals 670B Models with Just 32B Parameters

Alibaba’s newly released 32‑billion‑parameter QwQ‑32B model matches the performance of 670‑billion‑parameter rivals like DeepSeek‑R1, integrates agent‑based reasoning, runs on consumer hardware, and has sparked strong open‑source community adoption, as shown by benchmark results and download statistics.

AgentAlibabaQwen
0 likes · 6 min read
Why Alibaba’s QwQ‑32B Rivals 670B Models with Just 32B Parameters
JD Retail Technology
JD Retail Technology
Feb 18, 2025 · Artificial Intelligence

Engineering Practices of JD Advertising Agent: JDZunTong Intelligent Assistant

JD’s advertising R&D team created the JDZunTong Intelligent Assistant by engineering a modular Agent platform that combines advanced Retrieval‑Augmented Generation (RAG 1.0 → 2.0) and Function‑Call capabilities, a visual designer, custom tool registration, and a native Python workflow engine to deliver intelligent customer service, data queries, and ad creation for merchants.

AIAgentJD Advertising
0 likes · 18 min read
Engineering Practices of JD Advertising Agent: JDZunTong Intelligent Assistant
FunTester
FunTester
Jan 21, 2025 · Operations

Byteman Extensions: Custom Helper Classes, Agent Transformation, and ECA Rule Engine

The article explains how Byteman's rule engine can be extended with custom helper classes, describes its Java agent‑based bytecode transformation process, dynamic rule retransformation, and details the underlying ECA rule engine's parsing, type checking, and execution mechanisms.

AgentJava Instrumentationbytecode transformation
0 likes · 11 min read
Byteman Extensions: Custom Helper Classes, Agent Transformation, and ECA Rule Engine
DataFunSummit
DataFunSummit
Jan 7, 2025 · Artificial Intelligence

Tencent OlaChat: Intelligent Data Analysis Platform – Research, Architecture, and Capabilities

This article presents the Tencent PCG OlaChat team's research and practice in intelligent data analysis, covering the DIKW model, evolution of BI platforms, the impact of large language models, challenges of third‑generation data products, detailed product features, agent architecture, system design, and related academic publications.

AgentIntelligent BILLM
0 likes · 19 min read
Tencent OlaChat: Intelligent Data Analysis Platform – Research, Architecture, and Capabilities
DataFunSummit
DataFunSummit
Jan 1, 2025 · Artificial Intelligence

Challenges and Evaluation Strategies for LLM Agents in 2024

The article outlines the rapid progress of LLM agents in 2024 while highlighting key difficulties in planning capabilities, evaluation methods, dataset generation, and metric design, and suggests practical combinations and product‑level enhancements to improve efficiency, accuracy, and usability.

AIAgentDataset
0 likes · 3 min read
Challenges and Evaluation Strategies for LLM Agents in 2024
DevOps
DevOps
Dec 23, 2024 · Artificial Intelligence

Understanding AIGC Agents: Definition, Core Features, Underlying Logic, and Commercial Applications

This article explains what AIGC agents are, outlines their four main characteristics, describes the underlying transformer‑based architecture, dual‑stage learning, probabilistic generation and feedback optimization, and explores their current and future commercial use cases across content creation, knowledge bases, customer service, internal operations, and product design.

AIGCAgentContent Generation
0 likes · 14 min read
Understanding AIGC Agents: Definition, Core Features, Underlying Logic, and Commercial Applications
DataFunSummit
DataFunSummit
Dec 22, 2024 · Artificial Intelligence

From Concept to Deployment: The Evolution of 1688’s AI Purchasing Assistant “Yuanbao”

This article chronicles the development of 1688’s AI buyer assistant “Yuanbao”, detailing why an e‑commerce AI assistant is needed, its functional design, MVP constraints, the shift to a data‑driven 2.0 version, future prospects, and a Q&A, providing practical insights for AI product rollout in B‑to‑C platforms.

AIAgentData-driven
0 likes · 24 min read
From Concept to Deployment: The Evolution of 1688’s AI Purchasing Assistant “Yuanbao”
NewBeeNLP
NewBeeNLP
Dec 16, 2024 · Artificial Intelligence

How Tencent Boosts LLM Power with RAG, GraphRAG, and Agent Technologies

This article examines Tencent's large language model deployments across content generation, intelligent customer service, and role‑playing scenarios, detailing the principles and practical implementations of Retrieval‑Augmented Generation (RAG), GraphRAG, and Agent techniques, and discusses challenges, optimization strategies, and real‑world use cases.

AIAgentGraphRAG
0 likes · 18 min read
How Tencent Boosts LLM Power with RAG, GraphRAG, and Agent Technologies
DataFunTalk
DataFunTalk
Dec 10, 2024 · Artificial Intelligence

Tencent Large Language Model Applications: RAG, GraphRAG, and Agent Technologies

This article explores Tencent's large language model deployments across various business scenarios, detailing the principles and practical implementations of Retrieval‑Augmented Generation (RAG), GraphRAG for role‑playing, and Agent technologies, while also covering model fine‑tuning, knowledge‑base construction, and evaluation methods.

AI applicationsAgentGraphRAG
0 likes · 15 min read
Tencent Large Language Model Applications: RAG, GraphRAG, and Agent Technologies
Architect
Architect
Dec 2, 2024 · Backend Development

Mastering Java Agents: Premain vs Attach for Bytecode Manipulation

This article explains how Java agents work, compares premain and attach agents, shows how to implement entry points, use Instrumentation and Javassist to transform bytecode, provides complete code samples, packaging instructions, and demonstrates the runtime output with diagrams.

AgentAttachInstrumentation
0 likes · 17 min read
Mastering Java Agents: Premain vs Attach for Bytecode Manipulation
Alibaba Cloud Native
Alibaba Cloud Native
Nov 27, 2024 · Cloud Native

How to Add Zero‑Code Observability to Golang Apps with Alibaba’s OpenTelemetry Agent

This guide explains how to use Alibaba’s open‑source Golang Agent to automatically instrument Go applications for tracing, metrics, and log correlation without modifying source code, covering binary download, build replacement for go build, endpoint configuration, and step‑by‑step examples with Docker‑based dependencies and Jaeger visualization.

AgentGolangOpenTelemetry
0 likes · 11 min read
How to Add Zero‑Code Observability to Golang Apps with Alibaba’s OpenTelemetry Agent
37 Interactive Technology Team
37 Interactive Technology Team
Nov 4, 2024 · Artificial Intelligence

Developing RAG and Agent Applications with LangChain: A Case Study of an AI Assistant for Activity Components

The article outlines a step‑by‑step methodology for creating Retrieval‑Augmented Generation and custom Agent applications with LangChain, illustrated by an AI assistant for activity components that evolves from a rapid Dify prototype to a LangChain‑based RAG system and finally a hand‑crafted ReAct‑style agent, detailing LCEL chain composition, vector‑search integration, model performance trade‑offs, and a unified routing layer.

AI AssistantAgentCloud-native
0 likes · 6 min read
Developing RAG and Agent Applications with LangChain: A Case Study of an AI Assistant for Activity Components
DataFunSummit
DataFunSummit
Oct 24, 2024 · Big Data

Bilibili’s Large Language Model‑Based Intelligent Assistant for the Big Data Platform: Architecture, Principles, and Deployment

This article details Bilibili’s implementation of a large‑language‑model‑driven intelligent assistant for its massive big‑data platform, covering background, problem analysis, architectural design, knowledge‑base construction, precision and recall challenges, deployment across offline and real‑time Spark/Flink diagnostics, and future outlooks.

AgentBig DataFlink
0 likes · 23 min read
Bilibili’s Large Language Model‑Based Intelligent Assistant for the Big Data Platform: Architecture, Principles, and Deployment
DataFunSummit
DataFunSummit
Oct 18, 2024 · Artificial Intelligence

Building Efficient RAG Applications with a Small Team: Insights from PingCAP AI Lab

This article details how PingCAP's three‑person AI Lab leveraged Retrieval‑Augmented Generation (RAG) techniques—including basic RAG, fine‑tuned embeddings, re‑ranking, graph RAG, and agent‑based RAG—to create scalable, multilingual document‑question answering services while addressing large‑scale documentation challenges, model limitations, and user feedback loops.

AgentEmbeddingFine-tuning
0 likes · 14 min read
Building Efficient RAG Applications with a Small Team: Insights from PingCAP AI Lab
JavaEdge
JavaEdge
Oct 16, 2024 · Artificial Intelligence

How LangGraph + Waii Turn Natural Language into Complex SQL Queries

This article explains how the LangGraph framework combined with Waii’s text‑to‑SQL and visualization capabilities enables conversational data analysis by automatically generating, optimizing, and executing sophisticated SQL queries from natural language inputs.

AgentLangGraphWaii
0 likes · 14 min read
How LangGraph + Waii Turn Natural Language into Complex SQL Queries
DevOps
DevOps
Jul 21, 2024 · Artificial Intelligence

LLM Fundamentals, Applications, Prompt Engineering, RAG, and Agentic Workflows

This article provides a comprehensive overview of large language models (LLMs), covering their basic concepts, relationship with NLP, development history, parameter scaling, offline deployment, practical applications, prompt‑engineering frameworks, retrieval‑augmented generation, LangChain integration, agents, workflow orchestration, and future directions toward multimodal AI and AGI.

AI applicationsAgentLLM
0 likes · 36 min read
LLM Fundamentals, Applications, Prompt Engineering, RAG, and Agentic Workflows
Tencent Cloud Developer
Tencent Cloud Developer
Jul 18, 2024 · Artificial Intelligence

Exploring Large Language Models (LLM): Fundamentals, Applications, and Future Directions

Exploring Large Language Models, this article surveys their core concepts, evolution through Transformers, GPT and BERT, generation challenges, diverse applications such as QA, multimodal creation, summarization and retrieval‑augmented generation, prompt‑engineering frameworks and tools, LangChain‑based pipelines, AI‑driven agents, and future prospects toward domain‑specific use, multimodality, and AGI.

AIAgentLLM
0 likes · 35 min read
Exploring Large Language Models (LLM): Fundamentals, Applications, and Future Directions
JD Tech Talk
JD Tech Talk
Jun 28, 2024 · Backend Development

Deep Dive into JD's PFinder: Architecture, Bytecode Instrumentation, and Monitoring Features

This article provides a comprehensive technical overview of JD's self‑built PFinder APM system, detailing its core concepts, multi‑dimensional monitoring capabilities, bytecode‑enhancement mechanisms using ASM, Javassist, ByteBuddy and ByteKit, JVMTI‑based agents, service and plugin loading, trace‑ID propagation across threads, and a prototype hot‑deployment solution.

APMAgentJVMTI
0 likes · 18 min read
Deep Dive into JD's PFinder: Architecture, Bytecode Instrumentation, and Monitoring Features
JD Tech
JD Tech
Jun 21, 2024 · Operations

Deep Dive into pfinder: Architecture, Features, and Bytecode Instrumentation

This article provides a comprehensive technical overview of pfinder, a Java‑based APM system, covering its core concepts, feature set, comparison with other tracing tools, bytecode instrumentation techniques, plugin architecture, trace‑ID propagation across threads, and a simple hot‑deployment implementation.

APMAgentBytecodeInstrumentation
0 likes · 22 min read
Deep Dive into pfinder: Architecture, Features, and Bytecode Instrumentation
JD Tech
JD Tech
Jun 19, 2024 · Artificial Intelligence

Advances in Large AI Models: Prompt Engineering, RAG, Agents, Fine‑Tuning, Vector Databases and Knowledge Graphs

This article surveys the rapid expansion of large AI models, covering prompt engineering, structured prompts, retrieval‑augmented generation, AI agents, fine‑tuning strategies, vector database technology, knowledge graphs, function calling, and their collective role in moving toward artificial general intelligence.

AIAgentFine‑tuning
0 likes · 23 min read
Advances in Large AI Models: Prompt Engineering, RAG, Agents, Fine‑Tuning, Vector Databases and Knowledge Graphs
DataFunSummit
DataFunSummit
Jun 10, 2024 · Artificial Intelligence

Xiaomi Agent Technology: Architecture, Prompt Management, and Evaluation

This article presents Xiaomi's work on LLM‑based Agent technology, covering its perception‑thinking‑action pipeline, technical framework, prompt management, executor and API platform, workflow, optimization strategies, evaluation metrics, and future directions for AI assistants.

AI AssistantAgentLLM
0 likes · 17 min read
Xiaomi Agent Technology: Architecture, Prompt Management, and Evaluation
Bilibili Tech
Bilibili Tech
Jun 7, 2024 · Artificial Intelligence

AI Development for Frontend Developers: From Basics to Agent Implementation

This article guides frontend developers through AI development, comparing model training, fine‑tuning, prompt engineering, and Retrieval‑Augmented Generation, then explains agent creation via ReAct and tool‑call methods, and showcases Langchain and Flowise as low‑code frameworks for building domain‑specific AI agents.

AI DevelopmentAgentFlowise
0 likes · 13 min read
AI Development for Frontend Developers: From Basics to Agent Implementation
ByteDance SYS Tech
ByteDance SYS Tech
May 9, 2024 · Operations

How Large‑Model Agents Transform AIOps: From Automation to Self‑Healing Operations

The presentation explains how large‑model agents empower AIOps by automating routine tasks, enhancing anomaly detection, fault diagnosis, and remediation, while outlining architectural components, multi‑agent collaboration, and future directions for building self‑healing, observability‑driven operations platforms.

AgentObservabilityOperations Automation
0 likes · 15 min read
How Large‑Model Agents Transform AIOps: From Automation to Self‑Healing Operations
DaTaobao Tech
DaTaobao Tech
Apr 17, 2024 · Artificial Intelligence

Challenges and Practices of LLM‑Based Knowledge Bases and Personal Assistants

The article examines how LLM‑driven knowledge‑base QA and personal‑assistant agents struggle with context management, token limits, multimodal data, and tool‑parameter parsing, reviews open‑source frameworks such as LangChain, AutoGen and MetaGPT, and argues that fine‑tuning (e.g., LoRA) is essential for domain‑specific, scalable solutions.

AgentFine-tuningKnowledge Base
0 likes · 11 min read
Challenges and Practices of LLM‑Based Knowledge Bases and Personal Assistants
DataFunTalk
DataFunTalk
Mar 15, 2024 · Artificial Intelligence

Application of Agent Technology in Voice Assistant Scenarios

Senior algorithm engineer Qi Jianwei from Xiaomi presents a comprehensive overview of building a large‑model‑centric Agent framework for voice assistants, covering prompt design, information retrieval, RAG processes, and future optimization directions to enhance performance and stability.

AgentPrompt engineeringVoice Assistant
0 likes · 2 min read
Application of Agent Technology in Voice Assistant Scenarios
DevOps Cloud Academy
DevOps Cloud Academy
Feb 16, 2024 · Cloud Native

Configuring a Kubernetes Pod as a Jenkins Agent

This guide explains how to set up a Kubernetes pod to act as a Jenkins agent, covering prerequisites, deployment YAML, commands to launch and verify the pod and service, and the Jenkins UI configuration needed to connect the pod as a scalable CI/CD worker.

AgentCloud NativeJenkins
0 likes · 5 min read
Configuring a Kubernetes Pod as a Jenkins Agent
Huolala Tech
Huolala Tech
Dec 28, 2023 · Artificial Intelligence

How Huolala Built a Low‑Code LLM Platform to Accelerate AI Agent Deployment

Huolala created a visual, drag‑and‑drop LLM application platform that streamlines AI integration, reduces development costs, and enables rapid deployment of agents across marketing, invitation, advertising, and modeling scenarios, boosting efficiency by over 98% while cutting integration time from hours to minutes.

AIAgentLLM
0 likes · 13 min read
How Huolala Built a Low‑Code LLM Platform to Accelerate AI Agent Deployment
Code Ape Tech Column
Code Ape Tech Column
Dec 11, 2023 · Information Security

Design and Implementation of a Lightweight Maven Jar Encryption and Agent‑Based Decryption Solution for Java IP Protection

This article examines common Java jar obfuscation tools, identifies their limitations for protecting both proprietary code and third‑party dependencies, and proposes a lightweight Maven‑based encryption combined with a runtime agent that decrypts classes on demand while keeping performance impact under five percent.

AgentBackend SecurityIP Protection
0 likes · 9 min read
Design and Implementation of a Lightweight Maven Jar Encryption and Agent‑Based Decryption Solution for Java IP Protection
Baidu Geek Talk
Baidu Geek Talk
Nov 27, 2023 · Industry Insights

Inside Baidu’s Lingjing Platform: How AI Developer Ecosystems Are Built

This article examines Baidu’s Lingjing developer platform, exploring its origins, design choices, integration of plugins and agents, ecosystem advantages, commercial‑monetization loops, and future roadmap, while providing insights from an interview with platform head Zhang Ruixing on the challenges and opportunities of building AI‑native developer platforms.

AIAgentDeveloper Platform
0 likes · 16 min read
Inside Baidu’s Lingjing Platform: How AI Developer Ecosystems Are Built
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Sep 1, 2023 · Artificial Intelligence

Understanding Function Calling and ReAct for LLM Agents with LangChain

This article explains how large language models can act as agents by using OpenAI's Function Calling and the ReAct prompting paradigm, compares their trade‑offs, and demonstrates practical implementations with LangChain, including code examples for defining tools, invoking functions, and orchestrating multi‑step reasoning.

AIAgentFunction Calling
0 likes · 21 min read
Understanding Function Calling and ReAct for LLM Agents with LangChain
Code Ape Tech Column
Code Ape Tech Column
Apr 4, 2023 · Backend Development

Understanding and Implementing Java Agent (Premain and Agentmain) for Bytecode Manipulation

This article introduces Java Agent technology, explains the differences between premain and agentmain modes, demonstrates how to build, package, and attach agents using Maven and the Attach API, and shows practical bytecode manipulation techniques with Instrumentation and Javassist, complete with code examples.

AgentBackendInstrumentation
0 likes · 20 min read
Understanding and Implementing Java Agent (Premain and Agentmain) for Bytecode Manipulation
DeWu Technology
DeWu Technology
Mar 17, 2023 · Artificial Intelligence

Prompt‑Ops and LangChain: Engineering LLM Applications

Prompt‑Ops frameworks like LangChain let developers turn pre‑trained LLMs into versatile applications by abstracting model calls, chaining prompts, integrating tools, managing memory, and handling private data, while addressing challenges such as nondeterminism, version control, and prompt injection in production environments.

AI applicationsAgentLLM
0 likes · 15 min read
Prompt‑Ops and LangChain: Engineering LLM Applications
DevOps Cloud Academy
DevOps Cloud Academy
Jul 28, 2022 · Cloud Native

How to Create Static and Dynamic Jenkins Agents on Kubernetes

This guide explains how to manually create Jenkins JNLP agents on a Kubernetes cluster, covering both static Deployment‑based agents and dynamic agents using the Kubernetes plugin, with detailed YAML definitions, pipeline scripts, and supporting helper functions for a complete CI/CD workflow.

AgentCloud NativeDevOps
0 likes · 10 min read
How to Create Static and Dynamic Jenkins Agents on Kubernetes
Open Source Linux
Open Source Linux
May 26, 2022 · Operations

Optimizing Zabbix Agent Monitoring for Linux and Windows: Best Practices

This guide explains how Zabbix agent monitors Linux and Windows systems, compares active and passive modes, and provides detailed optimization tips for OS metrics, CPU, memory, filesystem, Windows services, performance counters, and event logs, including alarm suppression and macro usage.

AgentLinuxOperations
0 likes · 11 min read
Optimizing Zabbix Agent Monitoring for Linux and Windows: Best Practices
Practical DevOps Architecture
Practical DevOps Architecture
Apr 18, 2022 · Operations

How to Add a Jenkins Slave Node (Agent) via SSH

This guide walks through the complete process of adding a Jenkins agent, from creating the node in the Jenkins UI and installing Java and Git on the remote machine to copying SSH keys, verifying connectivity, and testing the agent’s operation.

AgentDevOpsJenkins
0 likes · 3 min read
How to Add a Jenkins Slave Node (Agent) via SSH
Efficient Ops
Efficient Ops
Jun 23, 2021 · Operations

Agent vs Network Data: Choosing the Right Cloud Performance Monitoring Approach

This article compares agent‑based and network‑data approaches to cloud‑native application performance monitoring, discussing their architectures, advantages, challenges, and how combining white‑box and black‑box techniques can improve fault detection, scalability, and operational efficiency in complex cloud environments.

AgentOperationsWhite-box
0 likes · 10 min read
Agent vs Network Data: Choosing the Right Cloud Performance Monitoring Approach
Programmer DD
Programmer DD
May 27, 2020 · Fundamentals

How to Use Java Agents for Runtime Bytecode Manipulation with ASM

This article explains the basics of Java agents, demonstrates how to use premain and agentmain to modify bytecode at load time or during execution, and provides practical examples with ASM to monitor method execution time and capture method parameters and return values in running Java processes.

ASMAgentInstrumentation
0 likes · 18 min read
How to Use Java Agents for Runtime Bytecode Manipulation with ASM
Meituan Technology Team
Meituan Technology Team
Nov 7, 2019 · Backend Development

Dynamic Java Debugging Techniques and Java‑Agent Implementation

The article explains why production‑grade Java debugging must avoid stopping the JVM, then details Java‑Agent technology—including JVMTI, startup and runtime loading via the Attach mechanism—and shows how class redefinition and ASM‑based bytecode instrumentation can be combined in a TCP‑server tool to perform online fault isolation without pausing the application.

AgentInstrumentationJVMTI
0 likes · 34 min read
Dynamic Java Debugging Techniques and Java‑Agent Implementation
Meituan Technology Team
Meituan Technology Team
Sep 5, 2019 · Backend Development

Unlocking Java Bytecode: From Structure to Runtime Enhancement

This article explains Java bytecode fundamentals, its class‑file layout, constant‑pool details, and then walks through practical bytecode‑enhancement techniques using ASM, Javassist, and the Instrument API to modify and reload classes at runtime for AOP, hot‑deployment and monitoring purposes.

ASMAgentInstrumentation
0 likes · 28 min read
Unlocking Java Bytecode: From Structure to Runtime Enhancement
NetEase Media Technology Team
NetEase Media Technology Team
Jul 26, 2019 · Backend Development

Java Dynamic Bytecode Enhancement Technology Applications and Practices

Java dynamic bytecode enhancement uses agents, the Instrumentation API, and the Attach API to modify class bytecode at load time without source changes, enabling non‑intrusive AOP features that power tools such as JRebel for hot deployment, Pinpoint for distributed tracing, Arthas for diagnostics, JVM‑SANDBOX for sandboxed interception, and JRARP for method call recording and playback.

AgentDynamic EnhancementInstrumentation
0 likes · 18 min read
Java Dynamic Bytecode Enhancement Technology Applications and Practices
转转QA
转转QA
Jul 18, 2019 · Mobile Development

Remote Device Scheduling for Mobile App Automated Testing

This article explains how the ZhuangZhuang QA team builds and operates a remote device scheduling workflow on the MCP cloud testing platform, detailing the interaction between the automation test platform, MCP, and Agent services, and presenting three practical device allocation strategies for stable, scalable mobile automation.

AgentAutomationMCP
0 likes · 15 min read
Remote Device Scheduling for Mobile App Automated Testing
转转QA
转转QA
Apr 18, 2019 · Backend Development

Java Instrumentation and ASM: Bytecode Enhancement Techniques and Jacoco Coverage

This article introduces Java instrumentation and the ASM bytecode manipulation library, explains how tools like Jacoco insert probe code on the fly, describes the structure of Java agents, and demonstrates practical bytecode editing methods and use‑cases such as monitoring, hot‑fixing, and mocking.

ASMAgentbytecode
0 likes · 5 min read
Java Instrumentation and ASM: Bytecode Enhancement Techniques and Jacoco Coverage
58 Tech
58 Tech
Mar 12, 2019 · Operations

Overview of the Octopus Automation Platform Architecture and Core Modules

The article introduces Octopus, the core automation service of 58 Group, detailing its overall architecture, the Octopus Agent lifecycle, communication mechanisms, management center capabilities, and key functional modules such as server information collection, command execution, deployment, permission control, and file transfer.

APIAgentAutomation
0 likes · 11 min read
Overview of the Octopus Automation Platform Architecture and Core Modules
DevOps
DevOps
Sep 29, 2018 · Operations

Containerizing TFS Continuous Integration and Agent Management with Docker

This article explains how to use Docker to containerize both the TFS continuous‑integration workflow and the TFS build agent, providing step‑by‑step commands for customizing Docker images, configuring agents, and handling authentication, followed by a brief recruitment notice for DevOps engineers.

AgentDevOpsDocker
0 likes · 9 min read
Containerizing TFS Continuous Integration and Agent Management with Docker