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5000 articles · Page 19 of 50
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Dec 9, 2025 · Artificial Intelligence

Introducing ValueCell: An Open‑Source Multi‑Agent AI Platform for A‑Shares, US Stocks and Crypto

ValueCell is an open‑source Python‑based multi‑agent AI platform that simulates a professional investment team, integrates various LLM providers, covers multiple markets (A‑shares, US stocks, crypto, Hong Kong), and offers one‑click deployment with detailed orchestration, enabling users to run AI‑driven portfolio management and replicate the Alpha Arena trading competition.

AIAutomated TradingFinance
0 likes · 6 min read
Introducing ValueCell: An Open‑Source Multi‑Agent AI Platform for A‑Shares, US Stocks and Crypto
DataFunSummit
DataFunSummit
Dec 9, 2025 · Artificial Intelligence

How JetBrains Is Reinventing IDEs with AI Agents and the New ACP Protocol

This article details JetBrains' journey from early AI plugins to a platform‑wide AI architecture, covering challenges like prompt‑engineering dependence, technical debt in the IntelliJ Platform, the design of the Agent Client Protocol (ACP), and future AI‑driven features such as EmbArk, ReCap, and Ask Settings.

ACPAIAgent
0 likes · 20 min read
How JetBrains Is Reinventing IDEs with AI Agents and the New ACP Protocol
PMTalk Product Manager Community
PMTalk Product Manager Community
Dec 9, 2025 · Product Management

Real‑World AI Data Analysis Case for Product Managers: Iteration & Optimization

The article shows how product managers can avoid the disappointment of a feature that looks perfect but gets no users by building a complete data‑driven loop that combines user‑behavior and business metrics, walks through a real e‑commerce recommendation case, outlines data‑collection pitfalls, metric‑design methods, hypothesis‑driven analysis, testing procedures and concrete steps to turn insights into iterative product improvements.

AIMetricscase study
0 likes · 33 min read
Real‑World AI Data Analysis Case for Product Managers: Iteration & Optimization
PaperAgent
PaperAgent
Dec 9, 2025 · Artificial Intelligence

How Code Graph Model (CGM) Redefines Repository‑Level Code Understanding

The Code Graph Model (CGM) introduced by Ant's multimodal code team integrates repository‑level graph structures into open‑source LLMs, achieving a 44% solve rate on SWE‑bench Lite, eliminating agent dependence, and demonstrating a novel graph‑enhanced code model through multi‑granular graph construction, dual‑modal alignment, and a lightweight GraphRAG framework.

AIGraphRAGLLM
0 likes · 9 min read
How Code Graph Model (CGM) Redefines Repository‑Level Code Understanding
Design Hub
Design Hub
Dec 8, 2025 · Artificial Intelligence

AI’s World‑Domination Paradigm Shift: 14 Design‑Focused Insights

The article presents fourteen detailed observations on how AI’s evolving definition, commoditization, infrastructure costs, competitive landscape, and emerging use‑cases are reshaping design practice, urging product, UX, and service designers to rethink fault‑tolerance, user expectations, and interaction models in a probability‑driven, generative world.

AIDesigngenerative AI
0 likes · 12 min read
AI’s World‑Domination Paradigm Shift: 14 Design‑Focused Insights
Baidu Tech Salon
Baidu Tech Salon
Dec 8, 2025 · Artificial Intelligence

How Baidu’s HuiBosheng AI Live Platform Generates Super‑Human Scripts and Real‑Time Interaction

The article details Baidu HuiBosheng's end‑to‑end AI live‑streaming platform, covering merchant workflow, multimodal product understanding, style‑aware script generation, reinforcement‑learning‑driven smart control, voice and avatar cloning, and a data‑flywheel that continuously improves model performance, illustrated with real‑world GMV results.

AIData FlywheelMultimodal
0 likes · 20 min read
How Baidu’s HuiBosheng AI Live Platform Generates Super‑Human Scripts and Real‑Time Interaction
PMTalk Product Manager Community
PMTalk Product Manager Community
Dec 8, 2025 · Product Management

When Bosses Panic About AI: Turning Their Anxiety into Practical Product Strategies

The article examines how the wave of AI anxiety among executives reshapes product logic, detailing a three‑act saga of a precise‑echo AI requirement generator, a boss‑driven “fabrication” critique, and the evolution to a “soul‑insight” version, while offering concrete translation tactics and a taxonomy of boss behaviors.

AIAI integrationLeadership
0 likes · 12 min read
When Bosses Panic About AI: Turning Their Anxiety into Practical Product Strategies
21CTO
21CTO
Dec 7, 2025 · Backend Development

Top Laravel AI Packages to Power Intelligent Web Apps

This article reviews the most popular and actively maintained Laravel AI packages—including Prism, LarAgent, Laravel AI Toolkit, and Laravel MCP—detailing their features, typical use‑cases, and how to choose the right one for building chatbots, automation agents, content generators, and AI‑enhanced Laravel applications.

AILLMOpenAI
0 likes · 6 min read
Top Laravel AI Packages to Power Intelligent Web Apps
DataFunSummit
DataFunSummit
Dec 7, 2025 · Artificial Intelligence

How Multi‑Agent AI Can Turn Marketing into a Smart Closed‑Loop System

This article examines the chronic pain points of traditional marketing, explains how AI‑driven multi‑agent collaboration can create a data‑rich, automated, and continuously optimized marketing loop, and presents a real‑world case study with measurable performance gains and practical implementation guidelines.

AIMulti-agentautomation
0 likes · 19 min read
How Multi‑Agent AI Can Turn Marketing into a Smart Closed‑Loop System
Architecture and Beyond
Architecture and Beyond
Dec 7, 2025 · Artificial Intelligence

How to Turn Industry Workflows into Actionable Skills with Claude

This article explains Claude's Skill system, how Skills differ from prompts, the concept of industry Workflows, the boundaries between Skills, Tools, and MCPs, and provides a step‑by‑step guide for designing Skills, wrapping legacy systems into Workflows, and building a hybrid Workflow‑plus‑Agent architecture for reliable, auditable automation.

AIAgentClaude
0 likes · 18 min read
How to Turn Industry Workflows into Actionable Skills with Claude
DataFunSummit
DataFunSummit
Dec 6, 2025 · Artificial Intelligence

Unlocking Enterprise AI Coding: DHcoder’s Real‑World Practices and Strategic Insights

This article systematically presents the enterprise‑grade AI programming assistant DHcoder, examines the core question of AI as a replacement or augmentation, details its secure local‑vector + private‑model architecture, showcases management dashboards, developer‑friendly features, real‑world case studies, operational feedback loops, and provides expert Q&A on cost, safety, and ROI.

AIProductivitycoding assistant
0 likes · 15 min read
Unlocking Enterprise AI Coding: DHcoder’s Real‑World Practices and Strategic Insights
PMTalk Product Manager Community
PMTalk Product Manager Community
Dec 5, 2025 · Industry Insights

From Zero Experience to AI Product Manager: Practical Steps and Insights

A recent inquiry about transitioning from a finance background to an AI product manager role is explored through the Sugarscape simulation, revealing how talent, luck, and strategic location interact, and offering concrete advice on choosing cities, companies, and knowledge‑dense environments to boost career success.

AISugarscapeWealth Simulation
0 likes · 11 min read
From Zero Experience to AI Product Manager: Practical Steps and Insights
Instant Consumer Technology Team
Instant Consumer Technology Team
Dec 5, 2025 · Artificial Intelligence

Transform Complex Prompts into Reusable AI Skills and Hook DeepSeek into Claude Code

This article explains how to replace cumbersome, city‑specific prompt strings with modular AI Skills, demonstrates the food‑diorama‑skill that generates 3D gourmet dioramas, and provides a step‑by‑step guide for connecting the DeepSeek V3.2 model to Claude Code using environment variables or the CC Switch GUI.

AIClaudeDeepSeek
0 likes · 8 min read
Transform Complex Prompts into Reusable AI Skills and Hook DeepSeek into Claude Code
Amazon Cloud Developers
Amazon Cloud Developers
Dec 5, 2025 · Cloud Computing

Hard‑Core Cloud Foundations Power Agentic AI: Highlights from re:Invent 2025 Peter & Dave Keynote

At re:Invent 2025, AWS executives Peter DeSantis and Dave Brown detailed a series of hardware and service innovations—including Graviton5, Trainium3/4, Lambda Managed Instances, Project Mantle, and S3 Vectors—showcasing how security, availability, elasticity, cost, and agility are becoming even more critical for the AI era, with concrete performance benchmarks from customers such as Airbnb, Apple, and Twelve Labs.

AIAWSHardware
0 likes · 14 min read
Hard‑Core Cloud Foundations Power Agentic AI: Highlights from re:Invent 2025 Peter & Dave Keynote
Old Meng AI Explorer
Old Meng AI Explorer
Dec 4, 2025 · Artificial Intelligence

How Microsoft’s Open‑Source Call Center AI Cuts Customer Service Costs by 80%

Microsoft’s open‑source Call Center AI leverages GPT‑4.1 on Azure to provide 24/7 AI‑driven phone support, automatic ticket creation, multilingual understanding, and easy cloud‑native deployment, dramatically reducing response times, labor costs, and customer churn across insurance, IT support, and e‑commerce scenarios.

AIAzureCustomer Service
0 likes · 12 min read
How Microsoft’s Open‑Source Call Center AI Cuts Customer Service Costs by 80%
Kuaishou Tech
Kuaishou Tech
Dec 4, 2025 · Artificial Intelligence

Can a Tree‑Reasoned Model Master Video Emotion Understanding?

The paper introduces VidEmo, a multimodal video foundation model that uses a two‑stage emotion‑clue‑guided reasoning framework and a large emotion‑centric dataset (Emo‑CFG) to achieve state‑of‑the‑art performance on facial attribute, expression, and fine‑grained emotion tasks, surpassing Gemini 2.0.

AIFoundation ModelMultimodal
0 likes · 15 min read
Can a Tree‑Reasoned Model Master Video Emotion Understanding?
Baidu MEUX
Baidu MEUX
Dec 3, 2025 · User Experience Design

Boost User Research with AI: Automating Short Feedback Classification & Long‑Form Insight Extraction

This article explains how AI large‑language models can automate short user‑feedback classification and extract insights from long interview texts, offering practical prompting tips, fine‑tuning strategies, and Retrieval‑Augmented Generation workflows to make user research faster, more accurate, and less labor‑intensive.

AIFeedback ClassificationLarge Language Models
0 likes · 11 min read
Boost User Research with AI: Automating Short Feedback Classification & Long‑Form Insight Extraction
Amap Tech
Amap Tech
Dec 3, 2025 · Artificial Intelligence

How Gaode’s G‑Action Uses Generative AI to Predict Users’ Next Move

Gaode’s G‑Action framework combines large‑language‑model pre‑training with fine‑tuned generative recommendation to predict a user’s immediate action and destination, transforming static map services into a dynamic, context‑aware experience and delivering measurable gains in click‑through and engagement metrics.

AIMap ServicesUser Behavior
0 likes · 15 min read
How Gaode’s G‑Action Uses Generative AI to Predict Users’ Next Move
Top Architect
Top Architect
Dec 3, 2025 · Fundamentals

Boost Your Coding Efficiency with an AI-Powered Naming Tool for Frontend and Backend

This article explains how developers struggling with inconsistent and unclear naming in Java and Vue projects can use a self‑built AI naming assistant—available as a lightweight web app and an IntelliJ IDEA plugin—to instantly generate clean, convention‑compliant identifiers from simple Chinese descriptions.

AINamingdeveloper tools
0 likes · 6 min read
Boost Your Coding Efficiency with an AI-Powered Naming Tool for Frontend and Backend
360 Smart Cloud
360 Smart Cloud
Dec 3, 2025 · Artificial Intelligence

How Model Distillation Enhances LLM Performance on the TLM Platform

This article explains the TLM large‑model development platform and details how knowledge distillation—using soft labels, temperature scaling, and combined loss functions—compresses teacher models into efficient student models, with practical steps and evaluation on the platform.

AILLMMachine Learning
0 likes · 5 min read
How Model Distillation Enhances LLM Performance on the TLM Platform
AI Info Trend
AI Info Trend
Dec 3, 2025 · Industry Insights

Why Serial Building + AI Is the Low‑Risk, High‑Reward Path for Corporate Venturing

A McKinsey report based on a survey of 715 senior executives reveals that despite macro‑economic uncertainty, companies that continuously launch new businesses and embed AI achieve faster revenue growth, lower investment thresholds, and higher success rates, making serial building with AI a strategic advantage.

AIBusiness growthCorporate Venturing
0 likes · 9 min read
Why Serial Building + AI Is the Low‑Risk, High‑Reward Path for Corporate Venturing
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Dec 2, 2025 · Industry Insights

Why No Breakout AI Apps by End of 2025? Focus on Real Pain Points

Despite soaring user numbers and investment, AI has yet to produce a truly indispensable consumer app because most products merely overlay old workflows, suffer from weak entry points, modest experience gains, trust and cost barriers, and developers focus on technology rather than solving concrete, high‑frequency pain points.

AIAI adoptionMarket Analysis
0 likes · 10 min read
Why No Breakout AI Apps by End of 2025? Focus on Real Pain Points
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Dec 2, 2025 · Industry Insights

Top GitHub Open‑Source Projects That Dominated November

This article surveys the most popular GitHub open‑source projects of November, highlighting their star counts, core functionalities, supported platforms, and providing direct repository links for tools ranging from AI agents and speech‑to‑text apps to Rust UI libraries and cloud‑native storage solutions.

AIGitHubPython
0 likes · 11 min read
Top GitHub Open‑Source Projects That Dominated November
ShiZhen AI
ShiZhen AI
Dec 2, 2025 · Artificial Intelligence

What Is a Prompt? Mastering Question Techniques for Better AI Results

Episode 4 of the Comic‑AI series explains that a prompt is the art of formulating precise questions to guide large language models, covering content and format constraints, positive and negative prompting, and showing how specific instructions lead to more predictable AI behavior.

AIAI interactionLarge Language Models
0 likes · 3 min read
What Is a Prompt? Mastering Question Techniques for Better AI Results
AI Info Trend
AI Info Trend
Dec 2, 2025 · Industry Insights

How AI Will Redefine the Future of Work: Insights from Deloitte’s Report

Deloitte’s “Exploring the New Future of Work” report analyzes how AI, digital agents, and shifting organizational models will transform jobs, skills, and leadership over the next five to ten years, urging companies to prepare for a generalist‑focused, AI‑augmented workplace.

AIReskillingfuture of work
0 likes · 8 min read
How AI Will Redefine the Future of Work: Insights from Deloitte’s Report
21CTO
21CTO
Dec 1, 2025 · Artificial Intelligence

New Features in Anthropic’s Model Context Protocol: Tasks, OAuth & Security

Celebrating one year since its debut, Anthropic’s Model Context Protocol (MCP) releases a major update that introduces task‑based workflows, URL‑based OAuth client registration, enhanced security requirements, extensible components, and a suite of new features aimed at improving reliability, observability, and developer flexibility.

AIAnthropicMCP
0 likes · 6 min read
New Features in Anthropic’s Model Context Protocol: Tasks, OAuth & Security
Ray's Galactic Tech
Ray's Galactic Tech
Dec 1, 2025 · Cloud Native

Kubernetes Uncovered: Core Value, Real-World Scenarios & AI Best Practices

This article provides a comprehensive overview of Kubernetes, detailing its core value as a portable, scalable platform for modern applications, enumerating typical use cases—from microservice architectures to AI/ML inference—explaining essential primitives, advanced features, enterprise adoption patterns, ecosystem tools, best practices, and scenarios where it may not be suitable.

AIDevOpsKubernetes
0 likes · 10 min read
Kubernetes Uncovered: Core Value, Real-World Scenarios & AI Best Practices
Instant Consumer Technology Team
Instant Consumer Technology Team
Dec 1, 2025 · Artificial Intelligence

Understanding AIGC, RAG, Function Calling, and the MCP Protocol: A Practical AI Guide

This article explains the fundamentals of AI‑generated content (AIGC), the Retrieval‑Augmented Generation (RAG) technique, Function Calling, autonomous agents, and the Model Context Protocol (MCP), highlighting their evolution, technical workflows, limitations, and real‑world examples for developers.

AIAIGCFunction Calling
0 likes · 19 min read
Understanding AIGC, RAG, Function Calling, and the MCP Protocol: A Practical AI Guide
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Dec 1, 2025 · Artificial Intelligence

Why a ‘Skill Engineer’ Could Soon Become a Standard AI Role

The author demonstrates how to convert an OCR API specification into a reusable Skill using Claude’s Skill Creator, explains the advantages of Skill’s hierarchical exposure over traditional MCP prompts, outlines a three‑step workflow, and argues that such capabilities may spawn a new ‘Skill Engineer’ position in AI teams.

AIAgent FrameworkClaude
0 likes · 5 min read
Why a ‘Skill Engineer’ Could Soon Become a Standard AI Role
Baidu Tech Salon
Baidu Tech Salon
Dec 1, 2025 · R&D Management

Boosting R&D Efficiency with AI‑Powered Project Management and One‑Stop Feature Delivery

This article outlines a comprehensive AI‑driven, one‑stop delivery framework that tackles fragmented information, low‑efficiency cross‑team collaboration, and missing Feature‑level metrics by introducing AI project management, end‑to‑end Feature delivery, and a three‑tier digital performance measurement system.

AIDigital MetricsFeature Delivery
0 likes · 12 min read
Boosting R&D Efficiency with AI‑Powered Project Management and One‑Stop Feature Delivery
360 Smart Cloud
360 Smart Cloud
Dec 1, 2025 · Artificial Intelligence

How to Build Real‑Time Streaming Speech Recognition with a Large‑Model API (Go & Python)

This guide explains the background of speech‑to‑text technology, introduces the large‑model streaming speech recognition API, walks through obtaining an API key, and provides detailed Go and Python code for establishing a WebSocket connection, sending full‑client and audio‑only requests, and parsing server responses.

AIStreaming APIgolang
0 likes · 12 min read
How to Build Real‑Time Streaming Speech Recognition with a Large‑Model API (Go & Python)
Architects' Tech Alliance
Architects' Tech Alliance
Nov 30, 2025 · Cloud Computing

How DPU Redefines Data Center Storage for AI and Cloud Workloads

This article analyzes the technical principles, architectural innovations, and real‑world scenarios of Data Processing Units (DPUs), showing how they resolve storage‑CPU mismatches, eliminate excessive east‑west traffic, and accelerate failure recovery, thereby becoming a core infrastructure for AI and cloud computing.

AICloud ComputingDPU
0 likes · 15 min read
How DPU Redefines Data Center Storage for AI and Cloud Workloads
Java Tech Enthusiast
Java Tech Enthusiast
Nov 30, 2025 · Fundamentals

Is Python Losing Its Edge? How Rust Is Eating Its Lunch

A candid look at Python’s recent performance woes, the Python Software Foundation’s financial troubles, the rise of Rust in core libraries, stagnant growth, and why the language may be losing its appeal for high‑scale production systems.

AILanguage TrendsPython
0 likes · 7 min read
Is Python Losing Its Edge? How Rust Is Eating Its Lunch
PMTalk Product Manager Community
PMTalk Product Manager Community
Nov 30, 2025 · Product Management

Why Your AI Product Fails to Attract Buyers—and How to Turn It Around

The article dissects why AI products often flop by applying a value‑cost formula, then offers ten concrete tactics—from redefining user interviews and running tech‑shock focus groups to data‑driven quant analysis, competitive deconstruction, pricing tests, and self‑questioning frameworks—so product managers can shift from feature‑driven thinking to value‑driven innovation.

AIPricinggrowth
0 likes · 13 min read
Why Your AI Product Fails to Attract Buyers—and How to Turn It Around
DataFunSummit
DataFunSummit
Nov 29, 2025 · Artificial Intelligence

How LLMs Are Transforming Long-Term Cross-Domain Interest Modeling for Recommendations

The Datafun Summit 2025 talk by JD’s algorithm engineer Tian Mingyang explains how generative AI is driving a paradigm shift in recommendation systems, detailing the limits of traditional models, the new dynamic cross‑domain inference chain technique, joint engineering‑algorithm optimizations, and the remaining challenges for future deployment.

AICross-Domain ModelingEngineering Optimization
0 likes · 32 min read
How LLMs Are Transforming Long-Term Cross-Domain Interest Modeling for Recommendations
IT Services Circle
IT Services Circle
Nov 29, 2025 · Fundamentals

Is Python Heading for Obsolescence? Rust’s Rise and the Cracks in the Ecosystem

The article examines Python’s growing performance and sustainability challenges, highlighting the Python Software Foundation’s financial loss, the increasing reliance on Rust for core libraries, stagnant version adoption, chaotic dependency management, and the shift of large‑scale production to compiled languages, warning that Python may become a legacy glue layer.

AIDependency ManagementProgramming Languages
0 likes · 7 min read
Is Python Heading for Obsolescence? Rust’s Rise and the Cracks in the Ecosystem
PMTalk Product Manager Community
PMTalk Product Manager Community
Nov 29, 2025 · Industry Insights

When Proud KPIs Turn Into Layoff Notices: An AI Product Manager’s Path to Redemption

The article reflects on how AI‑driven efficiency in customer‑service centers can initially boost performance and morale, but as growth stalls the same metrics become a justification for staff cuts, prompting product managers to rethink their role from replacer to enabler while preserving human dignity.

AICustomer ServiceEthics
0 likes · 8 min read
When Proud KPIs Turn Into Layoff Notices: An AI Product Manager’s Path to Redemption
phodal
phodal
Nov 27, 2025 · Artificial Intelligence

How AutoDev’s Agentic RAG Turns Docs into a Programmable Knowledge Base

This article explains how AutoDev builds an Agentic Retrieval‑Augmented Generation system with a Document Query Language (DocQL) that lets LLM agents navigate hierarchical code and documentation structures using JSONPath‑like queries, detailing implementation, multi‑level keyword expansion, and experimental findings.

AIAgentic RAGDocQL
0 likes · 12 min read
How AutoDev’s Agentic RAG Turns Docs into a Programmable Knowledge Base
Old Meng AI Explorer
Old Meng AI Explorer
Nov 27, 2025 · Artificial Intelligence

How UltraRAG Turns RAG Deployment into a Zero‑Code, One‑Click Process

UltraRAG, an open‑source RAG framework co‑developed by Tsinghua and NEUIR, offers a zero‑code WebUI that streamlines data construction, model fine‑tuning, and multi‑dimensional evaluation, boosting retrieval accuracy by up to 30% and cutting deployment time by half across legal, medical, and research use cases.

AIOpen-sourceRAG
0 likes · 11 min read
How UltraRAG Turns RAG Deployment into a Zero‑Code, One‑Click Process
Bilibili Tech
Bilibili Tech
Nov 27, 2025 · Artificial Intelligence

Mastering Agentic Systems with Blades: Concepts, Code, and Workflow Patterns

This article explains what an AI Agent is, distinguishes it from traditional workflows, and demonstrates how to build and customize agents using the Go‑based Blades framework, covering core concepts, code examples, five workflow patterns, best‑practice guidelines, and reference resources.

AIAgentBlades
0 likes · 11 min read
Mastering Agentic Systems with Blades: Concepts, Code, and Workflow Patterns
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 27, 2025 · Artificial Intelligence

How AI Powers Ethnic Product Categorization for Global E‑Commerce

This article presents an end‑to‑end AI solution that builds a cultural knowledge base and leverages large language models to automatically identify and match ethnic‑specific product categories on a cross‑border e‑commerce platform, reducing mis‑matches from 8.4% to 1.8% and cutting iteration time from days to under one day.

AIethnic categorizationknowledge base
0 likes · 19 min read
How AI Powers Ethnic Product Categorization for Global E‑Commerce
phodal
phodal
Nov 26, 2025 · Artificial Intelligence

How Multi‑Agent AI Transforms Code Review into Automated Fixes

AutoDev leverages a multi‑agent architecture and comprehensive information aggregation to turn traditional, fragmented code review into an intelligent, end‑to‑end process that not only detects issues but also generates and applies corrective patches automatically.

AIDevOpsLLM
0 likes · 9 min read
How Multi‑Agent AI Transforms Code Review into Automated Fixes
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Nov 26, 2025 · Product Management

Why Product Managers Who Can't Use Gemini Risk Obsolescence – A Step‑by‑Step PRD Generation Guide

The article shows how Gemini (even the older Gemini 2.5) can cut a product manager's documentation workload by over 90% through FeatureList drafting, Mermaid diagram generation, and HTML‑based PRD creation, while arguing that failing to embed large‑model tools will make product managers redundant.

AIFeatureListGemini
0 likes · 19 min read
Why Product Managers Who Can't Use Gemini Risk Obsolescence – A Step‑by‑Step PRD Generation Guide
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 26, 2025 · Artificial Intelligence

Unlocking AI-Powered Customer Service: From RAG to Deep Evaluation and Optimization

This article explores how the rapid growth of large language models reshapes intelligent customer service, detailing the evolution from rule‑based NLP bots to Retrieval‑Augmented Generation (RAG) and AI‑native agents, and presents a comprehensive framework for evaluating, diagnosing, and continuously improving chatbot performance using LLM‑driven metrics and context engineering.

AIContext EngineeringCustomer Service
0 likes · 46 min read
Unlocking AI-Powered Customer Service: From RAG to Deep Evaluation and Optimization
Xiaolei Talks DB
Xiaolei Talks DB
Nov 25, 2025 · Databases

What’s New in MongoDB 8.2? Performance Boosts, AI Features, and Multi‑Cloud Power

The article reviews MongoDB 8.2’s major upgrades, highlighting up to 36% read throughput gains, 59% write speed improvements, 200% faster time‑series aggregation, 50‑fold faster shard rebalancing, enhanced queryable encryption, native vector search, multi‑cloud Atlas support, and AI‑driven capabilities such as hybrid search and the MongoDB AMP platform.

AIDatabaseEncryption
0 likes · 7 min read
What’s New in MongoDB 8.2? Performance Boosts, AI Features, and Multi‑Cloud Power
Data Party THU
Data Party THU
Nov 24, 2025 · Artificial Intelligence

Can Post‑Forecast Revision Make Time Series Predictions Truly Reliable?

This article introduces the model‑agnostic PIR framework, which identifies uncertain forecasts and applies local and global post‑hoc revisions to transform average‑accurate time‑series models into systems that deliver stable, instance‑level reliable predictions across diverse real‑world datasets.

AIPIRTime Series Forecasting
0 likes · 8 min read
Can Post‑Forecast Revision Make Time Series Predictions Truly Reliable?
Su San Talks Tech
Su San Talks Tech
Nov 24, 2025 · Backend Development

What’s New in Spring Boot 4? A Deep Dive into the Latest Spring Ecosystem Overhaul

Spring Boot 4 launches alongside Spring Framework 7, Spring Data 2025.1 and Spring AI 1.1, delivering a massive upgrade that includes Jakarta EE 11, JDK 25, null‑safety via JSpecify, build‑time optimizations, modern HTTP clients, full‑stack Jackson 3 support, native resilience features, modular auto‑configuration, OpenTelemetry integration, and a dual‑track AI strategy.

AIJakarta EEJava
0 likes · 9 min read
What’s New in Spring Boot 4? A Deep Dive into the Latest Spring Ecosystem Overhaul
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Nov 23, 2025 · Artificial Intelligence

Advanced AI Context Engineering: Building Operable Worlds (Part 2)

This article examines how to evolve AI prompt engineering into full‑stack context and environment engineering, detailing six practical design patterns from the Manus system, the limits of Vibe Coding, the Spec‑Driven development workflow, and concrete steps to give models a persistent, controllable world for long‑term tasks.

AIAgentContext Engineering
0 likes · 18 min read
Advanced AI Context Engineering: Building Operable Worlds (Part 2)
Liangxu Linux
Liangxu Linux
Nov 23, 2025 · R&D Management

Linus Torvalds on Kernel Stewardship, AI, Rust, and Life Beyond Coding

In a candid interview at the Linux Foundation Open Source Summit, Linus Torvalds explains how his role has shifted from hands‑on programming to system‑level stewardship, discusses the impact of AI and Rust on kernel development, and shares personal habits that help him cope with the pressures of maintaining the world’s most complex software project.

AILinuxR&D management
0 likes · 19 min read
Linus Torvalds on Kernel Stewardship, AI, Rust, and Life Beyond Coding
PMTalk Product Manager Community
PMTalk Product Manager Community
Nov 23, 2025 · Artificial Intelligence

Essential Strategies for Building Successful AI Products

This guide outlines a step‑by‑step framework for creating AI products, covering problem discovery, user‑centric motivation analysis, compliance and ethics, defining a Minimum Viable Intelligent Product, assembling multidisciplinary teams, leveraging data and model selection, designing trustworthy UX, go‑to‑market tactics, moat building, and continuous monitoring for improvement.

AIEthicsMVP
0 likes · 17 min read
Essential Strategies for Building Successful AI Products
DataFunSummit
DataFunSummit
Nov 22, 2025 · Artificial Intelligence

Breaking the Recommendation Filter Bubble: Alibaba 1688’s Inference‑Driven AI

Alibaba’s 1688 platform leverages inference‑based large language models to enhance recommendation discovery, addressing the filter‑bubble problem by analyzing long‑term buyer behavior, compressing extensive activity streams, generating nuanced demand queries, and integrating multimodal data and market trend agents to deliver more diverse, explainable product suggestions for B‑type buyers.

AIE‑commerceRecommendation Systems
0 likes · 23 min read
Breaking the Recommendation Filter Bubble: Alibaba 1688’s Inference‑Driven AI
Data Party THU
Data Party THU
Nov 22, 2025 · Industry Insights

Future of Data Market Infrastructures: Open, Decentralized & Commercial Insights

This article examines four typical data market infrastructure paradigms—open public, decentralized on‑chain, commercial centralized, and sovereign/regulatory—analyzing Common Crawl, Chainlink, AWS/Snowflake marketplaces, and EU data spaces, comparing them against PFMI principles, and outlining their strengths, weaknesses, and future evolution toward agent‑driven ecosystems.

AIBlockchainData Market
0 likes · 33 min read
Future of Data Market Infrastructures: Open, Decentralized & Commercial Insights
JD Tech Talk
JD Tech Talk
Nov 21, 2025 · Artificial Intelligence

Mastering Chunking Strategies for Retrieval‑Augmented Generation

This article explains why effective chunking is crucial for RAG performance, compares seven major chunking strategies—including fixed‑size, semantic, recursive, document‑structure, agent‑driven, sentence, and paragraph methods—and offers practical guidance on selecting and optimizing chunks for real‑world AI applications.

AIChunkingRAG
0 likes · 10 min read
Mastering Chunking Strategies for Retrieval‑Augmented Generation
JD Cloud Developers
JD Cloud Developers
Nov 21, 2025 · Artificial Intelligence

Why Chunking Strategy Makes or Breaks RAG Performance

This article explains how different chunking methods—fixed size, semantic, recursive, document‑based, agent‑driven, sentence‑level, and paragraph‑level—affect Retrieval‑Augmented Generation, offering practical guidelines, metrics, and optimization tips for real‑world deployments.

AIChunkingRAG
0 likes · 9 min read
Why Chunking Strategy Makes or Breaks RAG Performance
Architect's Tech Stack
Architect's Tech Stack
Nov 21, 2025 · Backend Development

What’s New in Spring Boot 4? A Deep Dive into the Latest Features

Spring Boot 4 launches alongside Spring Framework 7, Spring Data 2025.1 and Spring AI 1.1, introducing Jakarta EE 11, JDK 25, JSpecify null‑safety, build‑time optimizations with Project Leyden, a new declarative HTTP client, Jackson 3 support, native API versioning, built‑in resilience, OpenTelemetry integration, and a dual‑track AI strategy.

AIJSpecifyJakarta EE
0 likes · 9 min read
What’s New in Spring Boot 4? A Deep Dive into the Latest Features
Kuaishou Tech
Kuaishou Tech
Nov 20, 2025 · Artificial Intelligence

How UniDex and UniSearch Redefine Video Search with Semantic Indexing and Generative Models

This article explains how Kuaishou’s UniDex replaces traditional term‑based inverted indexes with model‑driven semantic posting lists and how the end‑to‑end UniSearch framework generates video IDs directly from queries, delivering higher relevance, lower latency, and significant online performance gains.

AIGenerative ModelsLarge Language Models
0 likes · 17 min read
How UniDex and UniSearch Redefine Video Search with Semantic Indexing and Generative Models
DataFunSummit
DataFunSummit
Nov 20, 2025 · Artificial Intelligence

How 1688 Reinvented E‑commerce Search with AI‑Powered Generative Retrieval

This article details Alibaba’s 1688 platform’s shift from traditional e‑commerce search to AI‑driven generative retrieval, covering the AI Deep Search 1.0 and 2.0 cascaded frameworks, multimodal capabilities, an end‑to‑end “model‑as‑search‑engine” approach, experimental results, challenges, and future directions.

AIe-commerce searchgenerative retrieval
0 likes · 18 min read
How 1688 Reinvented E‑commerce Search with AI‑Powered Generative Retrieval
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Nov 20, 2025 · Artificial Intelligence

Top 12 Must‑Read Books Bridging Mathematics and AI

This article curates twelve classic textbooks that connect core mathematical concepts—linear algebra, calculus, probability, statistics, and optimization—with machine‑learning theory and practice, offering concise descriptions, author information, and direct links for readers seeking a solid mathematical foundation for AI.

AIBooksMathematics
0 likes · 14 min read
Top 12 Must‑Read Books Bridging Mathematics and AI
21CTO
21CTO
Nov 19, 2025 · Backend Development

Linus Torvalds on AI, Vibe Coding, and the Future of Linux Kernel Development

In a recent interview at the Linux Foundation Open Source Summit, Linus Torvalds shared his nuanced views on AI, the experimental "vibe coding" approach, the rising role of Rust in the kernel, and the challenges and opportunities these technologies present for stable, production‑grade software development.

AILinus TorvaldsLinux
0 likes · 5 min read
Linus Torvalds on AI, Vibe Coding, and the Future of Linux Kernel Development
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Nov 19, 2025 · Artificial Intelligence

How to Build a Reliable Dynamic Incremental RAG Pipeline for Real‑Time Data

This article explains why dynamic incremental RAG is harder than static RAG, identifies the three main points where recall accuracy breaks, and presents a three‑stage engineering pipeline—including a quality‑control layer, two‑stage retrieval, and reference‑injection generation—to keep real‑time data retrieval both accurate and robust.

AIDynamic DataRAG
0 likes · 13 min read
How to Build a Reliable Dynamic Incremental RAG Pipeline for Real‑Time Data
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 19, 2025 · Artificial Intelligence

Building an AI-Powered Proofreading Agent for Media: Architecture, Prompt Engineering, and Evaluation

This article details a practical case study of designing, implementing, and evaluating an AI-driven proofreading agent for a media client, covering background challenges, a three‑layer architecture, prompt engineering techniques, RAG knowledge‑base construction, model selection, fine‑tuning, automated metrics, and lessons learned.

AIModel EvaluationProofreading
0 likes · 26 min read
Building an AI-Powered Proofreading Agent for Media: Architecture, Prompt Engineering, and Evaluation
Liangxu Linux
Liangxu Linux
Nov 18, 2025 · Artificial Intelligence

Four Open‑Source AI Tools: Recipe Generator, Job Bot, Prompt Manager, Windows Automation

This article showcases four open‑source AI‑powered projects—a smart recipe generator, an automated job‑application tool, a local prompt‑management utility, and a Windows GUI automation framework—detailing their features, tech stacks, and GitHub repositories for developers to explore and adopt.

AIPrompt ManagementRecipe Generator
0 likes · 5 min read
Four Open‑Source AI Tools: Recipe Generator, Job Bot, Prompt Manager, Windows Automation
Old Meng AI Explorer
Old Meng AI Explorer
Nov 18, 2025 · Artificial Intelligence

How an Open‑Source AI Tool Turns Xiaohongshu Posts into Viral Hits

The open‑source Xiaohongshu MCP (Multi‑Channel Publisher) leverages AI to predict high‑traffic topics, auto‑generate copy, titles and tags, monitor performance, analyze competitors, and manage multiple accounts, enabling creators to boost followers from a few hundred to thousands without costly subscriptions.

AISocial Media AutomationXiaohongshu
0 likes · 12 min read
How an Open‑Source AI Tool Turns Xiaohongshu Posts into Viral Hits
Instant Consumer Technology Team
Instant Consumer Technology Team
Nov 17, 2025 · Frontend Development

How AI and Visual Builders Are Transforming Frontend Efficiency and UX

This edition of the Frontend Tech Weekly explores the convergence of efficiency, intelligence, and experience through case studies on TurboUIBuilder’s native visual page construction, deep Android crash‑attribution optimization, AI‑powered coding agents like Coding and Cursor, multimodal recommendation advances, MCP standards, and a curated selection of open‑source projects.

AIfrontendopen-source
0 likes · 9 min read
How AI and Visual Builders Are Transforming Frontend Efficiency and UX
Java Captain
Java Captain
Nov 16, 2025 · Fundamentals

Boost Your Code Naming with an AI‑Powered Naming Assistant for Vue and Java

The article shares the author’s struggle with inconsistent naming in front‑end Vue and back‑end Java code and introduces a self‑built AI‑driven naming tool—available as a lightweight web app and an IntelliJ IDEA plugin—that instantly generates clean, convention‑compliant identifiers.

AIIDEA PluginNaming
0 likes · 5 min read
Boost Your Code Naming with an AI‑Powered Naming Assistant for Vue and Java
HyperAI Super Neural
HyperAI Super Neural
Nov 15, 2025 · Artificial Intelligence

AI Paper Weekly: Scale Pretraining, Game Agents, Attention, Context Engineering

This weekly roundup highlights five recent AI research papers—including CoCa’s contrastive captioning model, the Game‑TARS framework for scalable game agents, Kimi Linear’s efficient attention architecture, the Continuous Autoregressive Language Model (CALM), and a comprehensive survey of Context Engineering—summarizing their core contributions and providing direct links.

AIContext Engineeringattention architecture
0 likes · 6 min read
AI Paper Weekly: Scale Pretraining, Game Agents, Attention, Context Engineering
Old Meng AI Explorer
Old Meng AI Explorer
Nov 14, 2025 · Industry Insights

BettaFish: AI-Powered Multi-Platform Public Opinion Monitoring in Minutes

BettaFish is an open‑source, multi‑Agent system that automatically crawls data from over 30 Chinese and international platforms, applies AI sentiment and trend analysis, generates structured reports in about ten minutes, and offers customizable local deployment, dramatically boosting efficiency for brand PR, media, and market analysts.

AISentiment Analysisautomation
0 likes · 11 min read
BettaFish: AI-Powered Multi-Platform Public Opinion Monitoring in Minutes
HyperAI Super Neural
HyperAI Super Neural
Nov 14, 2025 · Artificial Intelligence

Synthetic Biology Pioneer and Former OpenAI Exec Lead $1.3B Unicorn Lila Sciences Toward Scientific Superintelligence

Lila Sciences, a Cambridge‑based startup valued at $1.3 billion after a $3.5 billion Series A round backed by Nvidia, Flagship Pioneering and others, is building an AI‑driven "scientific superintelligence" platform that automates the entire scientific method, showcases a rapid catalyst discovery, and plans to open its ecosystem to commercial partners.

AIFlagship PioneeringLila Sciences
0 likes · 10 min read
Synthetic Biology Pioneer and Former OpenAI Exec Lead $1.3B Unicorn Lila Sciences Toward Scientific Superintelligence
High Availability Architecture
High Availability Architecture
Nov 14, 2025 · Artificial Intelligence

Quantifying AI Programming Efficiency: A Traceable and Measurable System

This article outlines the challenges of tracking AI‑generated code and measuring AI contribution, reviews earlier ad‑hoc methods, and presents a comprehensive solution featuring a VSCode plugin for unified AI dialogue management and a cloud service that quantifies AI impact across projects, teams, and individual developers.

AIAnalyticsMetrics
0 likes · 9 min read
Quantifying AI Programming Efficiency: A Traceable and Measurable System
IT Services Circle
IT Services Circle
Nov 13, 2025 · Fundamentals

Unlock Java Mastery: From Compilation to Collections, Concurrency and Career Insights

This article combines practical salary insights for Java developers at Transsion with a deep dive into Java fundamentals—including the compilation pipeline, JVM benefits, differences from C++, exception handling, core collection frameworks, concurrency concepts, interview preparation tips, and essential AI knowledge for developers.

AICollectionsInterview
0 likes · 14 min read
Unlock Java Mastery: From Compilation to Collections, Concurrency and Career Insights
Ele.me Technology
Ele.me Technology
Nov 13, 2025 · Artificial Intelligence

How Multi‑Agent AI Architecture Solves Complex Data Generation Challenges

This article details the design and evolution of a multi‑agent AI system for automated data generation in integration testing, covering challenges, single‑ versus multi‑agent approaches, prompt engineering, tool governance, intent recognition, tool filtering, reasoning execution, performance gains, and practical recommendations.

AIData GenerationMulti-agent
0 likes · 25 min read
How Multi‑Agent AI Architecture Solves Complex Data Generation Challenges
Liangxu Linux
Liangxu Linux
Nov 12, 2025 · Artificial Intelligence

Top Open‑Source AI‑Powered Tools to Boost Your Workflow (2024)

It introduces several open-source projects—MarkItDown for document-to‑Markdown conversion, Codebuff AI coding assistant, Twitter’s recommendation algorithm, mlx‑lm for running LLMs on Apple silicon, Perplexica AI search, and ChinaTextbook dataset—highlighting their features, usage, and GitHub links.

AILarge Language Modelsdocument conversion
0 likes · 6 min read
Top Open‑Source AI‑Powered Tools to Boost Your Workflow (2024)
vivo Internet Technology
vivo Internet Technology
Nov 12, 2025 · Fundamentals

Linux Kernel Innovations Powering the AI Agent Era – Highlights from China’s 20th CLK

The 20th China Linux Kernel Developers Conference, hosted by vivo, presented eleven technical talks covering AI‑driven kernel challenges, memory‑compression techniques, heterogeneous compression, async file‑cache management, uncached I/O, direct I/O for compressed files, parallel writeback, host‑initiated defragmentation, zoned storage, energy‑efficient I/O, and eBPF‑based CPU idle policies, each with concrete performance results and implementation details.

AILinux kernelMemory Management
0 likes · 12 min read
Linux Kernel Innovations Powering the AI Agent Era – Highlights from China’s 20th CLK
phodal
phodal
Nov 12, 2025 · Industry Insights

How AutoDev’s New MPP CLI Turns AI Agents into Self‑Testing, Multi‑Platform Tools

The article explains how the new AutoDev MPP architecture and its CLI, built on MPP Core, solve testing difficulties of previous IntelliJ‑based agents by tightly binding UI events, leveraging AI‑generated prompts, iteratively constructing a TUI/CLI, automating test framework generation, and integrating CI/CD for robust, portable AI‑driven development.

AIAutoDevCI/CD
0 likes · 10 min read
How AutoDev’s New MPP CLI Turns AI Agents into Self‑Testing, Multi‑Platform Tools
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Nov 11, 2025 · Industry Insights

How AI Reshaped Software Engineering in One Year: From “Software Quality Reporting” to the “Software Engineering 3.0 Era”

Over the past 365 days the author chronicles the rapid rise of AI‑driven development tools, a shift from product‑centric to model‑centric software, and measurable gains in code generation, test coverage and delivery speed, while reflecting on personal milestones, publications, and community building.

AIAI Development Toolsdevelopment efficiency
0 likes · 11 min read
How AI Reshaped Software Engineering in One Year: From “Software Quality Reporting” to the “Software Engineering 3.0 Era”
Instant Consumer Technology Team
Instant Consumer Technology Team
Nov 10, 2025 · Artificial Intelligence

How AI is Transforming Frontend Development: New Tools, Practices, and Insights

This issue of the tech weekly explores the latest breakthroughs where AI meets frontend development, highlighting the launch of the Vike framework, AI-driven code testing and debugging workflows, large-model innovations from major companies, open-source AI CRM and model projects, and practical insights for developers and engineers.

AILarge Modelscode generation
0 likes · 8 min read
How AI is Transforming Frontend Development: New Tools, Practices, and Insights
Smart Sea Tide
Smart Sea Tide
Nov 10, 2025 · Industry Insights

DeepSeek Researcher Predicts AI Will Replace Most Jobs Within 10–20 Years

At the World Internet Conference in Wuzhen, DeepSeek senior researcher Chen Deli warned that AI will replace the majority of human jobs within the next 10 to 20 years, outlining a three‑stage timeline and emphasizing that this shift marks a fundamental change from tools to intelligent agents.

AIDeepSeekemployment impact
0 likes · 2 min read
DeepSeek Researcher Predicts AI Will Replace Most Jobs Within 10–20 Years