All Articles

140405 articles · Page 39 of 7021

Jun 24, 2026 · Backend Development

Auto‑Cancel Unpaid Orders After 30 Minutes with RabbitMQ: TTL + DLX vs Delayed Message Plugin

The article explains two ways to implement a 30‑minute order auto‑cancellation in RabbitMQ—using the classic TTL + dead‑letter exchange pattern (with its head‑blocking pitfall) and the newer delayed‑message‑exchange plugin—provides Spring Boot configuration examples, compares their trade‑offs, and offers interview tips on when to choose each solution.

Dead‑Letter QueueDelayed Message PluginMessage Queue

0 likes · 12 min read

Auto‑Cancel Unpaid Orders After 30 Minutes with RabbitMQ: TTL + DLX vs Delayed Message Plugin

Golang Shines

Jun 24, 2026 · Operations

Linux Network Troubleshooting: In‑Depth Guide to tcpdump, netstat and ss

This article walks system administrators and DevOps engineers through a systematic approach to diagnosing Linux network issues, covering the fundamentals of netstat, ss, and tcpdump, interpreting TCP state tables, analyzing packet captures, and resolving common problems such as TIME_WAIT buildup, SYN floods, and HTTPS handshake failures.

LinuxNetworknetstat

0 likes · 32 min read

Linux Network Troubleshooting: In‑Depth Guide to tcpdump, netstat and ss

Golang Shines

Jun 24, 2026 · Backend Development

Explore the Open-Source Go-Vue-Admin Backend Management System

The article introduces go-vue-admin, an open-source Go-based backend management system with a Vue3 front‑end, outlines its built‑in modules such as user, role, and monitoring, lists environment requirements and repository links, provides step‑by‑step setup commands, and offers a curated collection of free Go books and video tutorials.

Backend ManagementGoRedis

0 likes · 8 min read

Explore the Open-Source Go-Vue-Admin Backend Management System

ZhiKe AI

Jun 24, 2026 · R&D Management

Why Knowledge Stays Dormant? A 4‑Step Guide to Internalizing What You’ve Learned

The article explains why amassed courses, books, and articles often remain unusable, introduces the SECI model’s four knowledge‑conversion modes, illustrates each with real‑world examples—including a Panasonic bread‑maker case—and offers practical steps to turn tacit insights into actionable expertise.

Knowledge ManagementSECI modelexplicit knowledge

0 likes · 8 min read

Why Knowledge Stays Dormant? A 4‑Step Guide to Internalizing What You’ve Learned

Frontend AI Walk

Jun 24, 2026 · Artificial Intelligence

Why AI Coding Tools Must Adopt a Cache‑First Mindset

The article dissects Reasonix’s Cache‑First design, showing how prefix‑caching cuts AI‑coding costs by up to tenfold, compares its architecture and pricing with Claude Code, Cursor, OpenCode and others, and provides a decision framework for when to adopt Reasonix.

AI coding toolsCache-FirstDeepSeek

0 likes · 18 min read

Why AI Coding Tools Must Adopt a Cache‑First Mindset

Machine Heart

Jun 24, 2026 · Industry Insights

Karpathy Backs Engram: AI Memory Startup Aiming for Persistent Enterprise Knowledge

Engram, a newly announced AI memory startup backed by investors such as General Catalyst, Kleiner Perkins, Sequoia and advisors including Andrej Karpathy, aims to move beyond temporary context retrieval by building a continuous‑learning memory layer that lets models absorb and recall enterprise‑specific knowledge, contrasting with typical RAG or long‑context methods.

AI memoryEnterprise AIKarpathy

0 likes · 6 min read

Karpathy Backs Engram: AI Memory Startup Aiming for Persistent Enterprise Knowledge

DataFunTalk

Jun 24, 2026 · Big Data

How Xiaohongshu Re‑engineered Its Data Architecture for the Big AI Data Era

Xiaohongshu, with over 350 million monthly users and daily logs in the billions, migrated its data platform from AWS to Alibaba Cloud and iterated four times—from a ClickHouse‑based ad‑hoc layer to a Lambda architecture and finally a Lakehouse with incremental compute—cutting architecture complexity, resource cost and development effort each to about one‑third while delivering second‑level analytics on trillion‑scale data.

Big DataClickHouseData Architecture

0 likes · 22 min read

How Xiaohongshu Re‑engineered Its Data Architecture for the Big AI Data Era

DataFunTalk

Jun 24, 2026 · Artificial Intelligence

Why Enterprise AI Agents Must Stop Fabricating: The Three‑Layer Anti‑Hallucination Engine

The article explains that the biggest obstacle for enterprise‑level AI agents is not model intelligence but their tendency to hallucinate, and describes a three‑layer anti‑hallucination framework—entity anchoring, strong semantic negative defense, and context dehydration—plus a fourth tool‑description layer, validation methods, and practical limits.

AI agentscontext dehydrationenterprise data platform

0 likes · 16 min read

Why Enterprise AI Agents Must Stop Fabricating: The Three‑Layer Anti‑Hallucination Engine

Architect Chen

Jun 24, 2026 · Operations

Designing Million-Request Architecture with LVS, Keepalived, and Nginx

The article explains how to build a million‑level high‑performance system by layering LVS with Keepalived for entry‑level redundancy and Nginx for flexible proxying, while adding health checks, logging, and auto‑scaling to ensure stability and rapid recovery.

High AvailabilityKeepalivedLVS

0 likes · 4 min read

Designing Million-Request Architecture with LVS, Keepalived, and Nginx

ZhiKe AI

Jun 24, 2026 · Fundamentals

The 5 Levels of Book Understanding—Why Most Readers Stall at Level 3

The article introduces the SOLO taxonomy, a five‑level framework for measuring how deeply you understand a book, contrasts it with Bloom's Taxonomy, and offers concrete self‑assessment tools and three practical steps to move from superficial recall to transferable insight.

Bloom's taxonomySOLO taxonomyeducational psychology

0 likes · 10 min read

The 5 Levels of Book Understanding—Why Most Readers Stall at Level 3

Digital Planet

Jun 24, 2026 · Industry Insights

Mid-Autumn Marketing Blueprint for Liquor Brands: A 3,300‑Word Action Plan

Facing a shrinking market and price pressure, liquor makers must shift from traditional B‑channel bulk incentives to a C‑end‑focused strategy that uses digital tools for precise consumer benefits, coordinated B‑channel execution, and a four‑stage timeline from July planning to October post‑event review.

B‑channel IncentivesC‑end StrategyDigital Marketing

0 likes · 12 min read

Mid-Autumn Marketing Blueprint for Liquor Brands: A 3,300‑Word Action Plan

Digital Planet

Jun 24, 2026 · Industry Insights

2026 Baijiu Market Shift: How Three‑Way Symbiosis Drives Consumer‑Centric Growth

The article analyses the 2026 turning point for China’s baijiu industry, exposing a low open‑bottle rate, the failure of the traditional "three‑output" model, and proposes a data‑driven three‑way symbiosis that empowers manufacturers, distributors and consumers through digital "one‑code‑one‑product" systems, AI and new partnership models.

AIBaijiuConsumer Marketing

0 likes · 15 min read

2026 Baijiu Market Shift: How Three‑Way Symbiosis Drives Consumer‑Centric Growth

Digital Planet

Jun 24, 2026 · Information Security

What the FIFA Live‑Stream Hack Reveals About Permission Security in FMCG Identity Platforms

A security researcher hijacked FIFA's live‑stream by exploiting a basic permission flaw, illustrating how the same oversight can jeopardize fast‑moving consumer goods identity platforms; the article dissects the risk and outlines a four‑dimensional least‑privilege framework to safeguard such systems.

Access ControlFMCGIdentity Management

0 likes · 11 min read

What the FIFA Live‑Stream Hack Reveals About Permission Security in FMCG Identity Platforms

Wu Shixiong's Large Model Academy

Jun 24, 2026 · Artificial Intelligence

Why Public QA Datasets Fail for Deep Research Agents—and How to Build Effective Training Data

The article explains that single‑ or two‑hop QA datasets cannot teach Deep Research agents multi‑step reasoning, outlines four mainstream data‑construction methods, describes trajectory sampling with a three‑stage funnel filter, and shares practical guidelines on data volume, difficulty distribution, question types, and common pitfalls.

AI Agent TrainingData ConstructionDeep Research

0 likes · 32 min read

Why Public QA Datasets Fail for Deep Research Agents—and How to Build Effective Training Data

Machine Heart

Jun 24, 2026 · Artificial Intelligence

From Pixels to Words: A Native Vision-Language Model Unifies Images and Video

The paper introduces NEO‑ov, a native vision‑language model that discards external visual encoders, feeding raw pixels directly into a unified transformer, and demonstrates competitive performance on image, multi‑image, and video tasks—including fine‑grained perception and spatial reasoning—while outlining its three‑stage training pipeline and current limitations.

MultimodalQwenbenchmark

0 likes · 13 min read

From Pixels to Words: A Native Vision-Language Model Unifies Images and Video

Machine Heart

Jun 24, 2026 · Artificial Intelligence

Running Large Language Models Locally Is Now Surprisingly Easy

The article explains how recent advances in LLM performance now allow developers to run sophisticated AI models locally on a 2022 M2 Mac using tools like LM Studio, Pi agent, and Docker, detailing model choices, setup steps, performance observations, and remaining limitations.

DockerGemma 4LM Studio

0 likes · 10 min read

Running Large Language Models Locally Is Now Surprisingly Easy

Machine Heart

Jun 24, 2026 · Artificial Intelligence

Why Aether AI Bets on Causal World Models: From Prediction to Intervention

The article analyzes how Aether AI moves beyond statistical prediction toward causal world models, arguing that true physical‑world AI must identify the variables that actually drive outcomes, simulate interventions, and reason about changes, illustrated with robot manipulation examples and recent research results.

Causal AIInterventionmachine learning

0 likes · 18 min read

Why Aether AI Bets on Causal World Models: From Prediction to Intervention

Frontend AI Walk

Jun 24, 2026 · Artificial Intelligence

Turning Static AI Agent Skills into Dynamic, Testable, Iterable Workflows

This article explains how to extend a static AI Agent Skill defined in SKILL.md with a dynamic Workflows layer, add trajectory evaluation for deterministic execution, and provides concrete JavaScript examples, directory structures, anti‑patterns, and a step‑by‑step validation checklist to make Skills runnable, testable, and iteratively improvable.

AI agentsCI integrationJavaScript

0 likes · 24 min read

Turning Static AI Agent Skills into Dynamic, Testable, Iterable Workflows

AI Agent Super App

Jun 24, 2026 · Operations

Will AI Replace Ops Engineers by 2025? From Automated Troubleshooting to One‑Click Deployments

The article examines how AI is reshaping operations—from instant fault detection and 47‑second incident resolution to natural‑language deployment scripts, predictive capacity planning, continuous security monitoring, and automated knowledge bases—while arguing that engineers will transition from fire‑fighters to system designers.

AIOpsAutomationcapacity planning

0 likes · 15 min read

Will AI Replace Ops Engineers by 2025? From Automated Troubleshooting to One‑Click Deployments

Machine Heart

Jun 24, 2026 · Industry Insights

Are Humanoid Robots Being Designed for Simulators? A Veteran’s Warning

The article warns that humanoid robot designers are sacrificing mechanical advantages—such as parallel joints and tendon‑driven hands—to make hardware easier for simulation, turning robust engineering principles into a simulation‑driven shortcut that risks limiting real‑world performance.

HardwareSimulationhumanoid robots

0 likes · 9 min read

Are Humanoid Robots Being Designed for Simulators? A Veteran’s Warning