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143597 articles · Page 426 of 7180
Java Tech Workshop
Java Tech Workshop
Apr 27, 2026 · Backend Development

How to Integrate Kafka with SpringBoot for High‑Performance Messaging

This article walks through Kafka’s core architecture, explains why it achieves massive throughput, and provides a step‑by‑step SpringBoot integration—including environment setup, Maven dependencies, configuration, producer and consumer code, advanced features like transactions and dead‑letter queues, plus performance monitoring and tuning tips.

ConsumerDead Letter QueueJava
0 likes · 11 min read
How to Integrate Kafka with SpringBoot for High‑Performance Messaging
Architects' Tech Alliance
Architects' Tech Alliance
Apr 27, 2026 · Artificial Intelligence

Why Huawei’s Ascend 950 PR and DT Have Different Names – The Technical Rationale

Huawei’s Ascend 950 series splits a single die into two variants—PR (Prefill & Recommendation) optimized for compute‑intensive inference with low cost, and DT (Decode & Training) tuned for memory‑bandwidth‑heavy generation and training—illustrating a scenario‑driven, P/D‑separated architecture that maximizes efficiency.

AI chipAscend 950HBM
0 likes · 5 min read
Why Huawei’s Ascend 950 PR and DT Have Different Names – The Technical Rationale
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Apr 27, 2026 · Artificial Intelligence

From Parameter Tuning to Control: CFG‑Ctrl Boosts Stability and Precision in Text‑to‑Image Generation

The paper introduces CFG‑Ctrl, a control‑theoretic redesign of classifier‑free diffusion guidance that treats the generation process as a dynamic system, achieving more stable and accurate text‑to‑image results across multiple model scales and evaluation metrics.

CFG-CtrlControl TheoryStability
0 likes · 15 min read
From Parameter Tuning to Control: CFG‑Ctrl Boosts Stability and Precision in Text‑to‑Image Generation
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Apr 27, 2026 · Artificial Intelligence

SkVM: A Language VM for Skill Enables One‑Write, Everywhere‑Efficient Execution on Any LLM

SkVM, an open‑source language virtual machine from Shanghai Jiao Tong University’s IPADS team, compiles Skill code once and runs it efficiently across diverse LLMs and Agent harnesses, delivering up to 50× speedups, 40% token savings, and performance comparable to Opus 4.6 on 30B models.

AgentCompilationLLM
0 likes · 10 min read
SkVM: A Language VM for Skill Enables One‑Write, Everywhere‑Efficient Execution on Any LLM
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Apr 27, 2026 · Artificial Intelligence

The Emerging ‘Newton’s Law’ of Deep Learning: Toward a Scientific Theory

Amid rapid scaling of large models, a new paper by researchers from UC Berkeley, Harvard, and Stanford proposes a unified "Learning Mechanics" framework that stitches together five theoretical strands—idealized solvable settings, extreme limits, empirical laws, hyperparameter theory, and universal behavior—to begin forming a scientific theory of deep learning.

Deep LearningNTKTheoretical AI
0 likes · 18 min read
The Emerging ‘Newton’s Law’ of Deep Learning: Toward a Scientific Theory
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Apr 27, 2026 · Artificial Intelligence

How a 23‑Year‑Old Outsider Cracked a 60‑Year‑Old Math Conjecture Using ChatGPT

A 23‑year‑old without formal math training teamed with a Cambridge student and ChatGPT, solving the 60‑year‑old Erdős primitive‑set conjecture in 80 minutes, while traditional mathematicians had been stuck for decades, highlighting a radically different AI‑driven proof strategy.

AI mathematicsChatGPTErdős conjecture
0 likes · 8 min read
How a 23‑Year‑Old Outsider Cracked a 60‑Year‑Old Math Conjecture Using ChatGPT
Selected Java Interview Questions
Selected Java Interview Questions
Apr 27, 2026 · Industry Insights

Microsoft's New Voluntary Retirement Plan: A Dignified Layoff in the All‑in‑AI Era

Microsoft's first-ever voluntary retirement program targets U.S. senior directors and below who meet the "Rule of 70" (age plus tenure ≥ 70), offering cash, extended health and accelerated stock vesting as a strategic move to reshape its workforce for an AI‑centric future while saving only a fraction of its massive AI‑related capex.

AI restructuringHR strategyMicrosoft
0 likes · 10 min read
Microsoft's New Voluntary Retirement Plan: A Dignified Layoff in the All‑in‑AI Era
Shuge Unlimited
Shuge Unlimited
Apr 27, 2026 · Operations

OpenSpec Advanced: From Core to Expanded – Unlock All Workflows with 7 Commands

This article explains how OpenSpec's Expanded Workflow adds seven new commands to the core profile, providing finer‑grained artifact control, implementation verification, parallel change management, and customizable schemas, and shows when to use fast‑forward versus stepwise execution along with best‑practice recommendations.

AI DevelopmentCLI commandsDevOps
0 likes · 26 min read
OpenSpec Advanced: From Core to Expanded – Unlock All Workflows with 7 Commands
AI Large Model Application Practice
AI Large Model Application Practice
Apr 27, 2026 · Artificial Intelligence

How Graphify Becomes the “Second Brain” for AI Coding in Enterprise Legacy Systems

Graphify transforms scattered code, documentation, and business knowledge into a structured knowledge graph that serves as a “second brain” for AI coding assistants, enabling them to navigate and understand complex enterprise legacy systems, reduce token costs, and improve answer quality, as demonstrated by detailed tests on the BettaFish project.

AI CodingGraphifyKnowledge Graph
0 likes · 16 min read
How Graphify Becomes the “Second Brain” for AI Coding in Enterprise Legacy Systems
Su San Talks Tech
Su San Talks Tech
Apr 27, 2026 · Backend Development

10 Common Pitfalls in MyBatis-Plus and How to Avoid Them

The article enumerates ten typical traps when using MyBatis-Plus—such as incorrect pagination counts, ineffective pagination plugins, logical delete mishandling, auto‑fill failures, optimistic‑lock issues, null‑value conditions, batch‑insert slowness, enum mapping errors, wrapper overwrites, and type‑handler problems—explains why they occur, and provides concrete code‑level solutions and best‑practice recommendations.

Batch InsertEnum MappingJava
0 likes · 19 min read
10 Common Pitfalls in MyBatis-Plus and How to Avoid Them
AndroidPub
AndroidPub
Apr 27, 2026 · Mobile Development

Avoid AI‑Generated Pitfalls: A VibeCoding Guide for Mobile Developers

The article outlines a practical checklist for mobile developers using VibeCoding AI code generation, covering security, cost, compliance, reliability, performance, testing, and maintenance to ensure that fast‑generated demos become production‑ready apps without hidden risks.

AI code generationComplianceCost Optimization
0 likes · 14 min read
Avoid AI‑Generated Pitfalls: A VibeCoding Guide for Mobile Developers
Architecture & Thinking
Architecture & Thinking
Apr 27, 2026 · Artificial Intelligence

50+ High-Value AI Skills for 2026: A Guide to Boosting Developer Efficiency

The article presents a data‑driven review of more than 50 AI Skills, grouped into five core scenarios, detailing their installation counts, key functions, and practical impact, to help senior developers choose the most effective plugins for accelerating development, design, documentation, and product growth.

AIAI skillsAutomation
0 likes · 27 min read
50+ High-Value AI Skills for 2026: A Guide to Boosting Developer Efficiency
Coder Trainee
Coder Trainee
Apr 27, 2026 · Cloud Native

Spring Cloud Microservices Practice #6: Sentinel for Service Fault Tolerance and Rate Limiting

This article explains why service fault tolerance is essential in micro‑service architectures, compares Sentinel with Hystrix and Resilience4j, and provides step‑by‑step guidance on integrating Sentinel for circuit breaking, QPS and concurrency limiting, hot‑parameter control, system protection, and dynamic rule management with Nacos.

Circuit BreakingMicroservicesNacos
0 likes · 14 min read
Spring Cloud Microservices Practice #6: Sentinel for Service Fault Tolerance and Rate Limiting
Machine Heart
Machine Heart
Apr 27, 2026 · Artificial Intelligence

Emoticon Semantic Confusion: How a Tilde Can Delete Your Home Directory in LLMs

Researchers from Xi’an Jiaotong, NTU, and UMass Amherst reveal that large language models misinterpret emoticon symbols like '~' as shell commands, causing silent, irreversible actions such as deleting a user’s home directory, with an average confusion rate of 38.6% across six major models.

Shell Commandsemoticon semantic confusionsecurity
0 likes · 8 min read
Emoticon Semantic Confusion: How a Tilde Can Delete Your Home Directory in LLMs
Machine Heart
Machine Heart
Apr 27, 2026 · Artificial Intelligence

What Do Your Logits Know? Surprising Insights from Apple’s New AI Paper

Apple’s recent AI paper probes whether large vision‑language models truly forget user data by examining residual streams and final logits, revealing that hidden image attributes persist in top‑k outputs and exposing significant privacy and security risks.

AI securityVision-Language Modelsinformation bottleneck
0 likes · 11 min read
What Do Your Logits Know? Surprising Insights from Apple’s New AI Paper
Programmer1970
Programmer1970
Apr 27, 2026 · Fundamentals

Why Programmers Over 30 Should Prioritize Fundamentals Over New Tech

The article argues that after age 35 developers should focus on core skills such as problem modeling, system observability, and code evolvability because technology churn outpaces personal learning, AI handles tool usage, and companies value stability over novelty.

Programming Fundamentalscareer advicecode maintainability
0 likes · 3 min read
Why Programmers Over 30 Should Prioritize Fundamentals Over New Tech