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5000 articles · Page 8 of 50
Data Party THU
Data Party THU
May 22, 2026 · Artificial Intelligence

First Survey of Agent Harnesses: What Powers Agents Beyond the Model?

The article surveys recent research on Agent Harness engineering, showing that real‑world agent instability stems from system‑level factors beyond model capability, introduces the seven‑layer ETCLOVG architecture, presents benchmark gains from harness tweaks, maps open‑source projects to the framework, and outlines five key open research directions.

AIETCLOVGLLM
0 likes · 12 min read
First Survey of Agent Harnesses: What Powers Agents Beyond the Model?
Qunhe Technology Quality Tech
Qunhe Technology Quality Tech
May 22, 2026 · Artificial Intelligence

Cut Costs and Boost Efficiency: Deploying an MCP‑Workflow AI Customer Service Tool

The article details a step‑by‑step case study of building an AI‑powered customer‑service assistant on an MCP workflow, showing how the team reduced average ticket handling time from 5.3 hours to 10 minutes, cut over 500 tickets, and improved processing efficiency by 97 % through low‑code MVP development, iterative rollout, and operation‑level governance.

AICustomer ServiceMCP Workflow
0 likes · 13 min read
Cut Costs and Boost Efficiency: Deploying an MCP‑Workflow AI Customer Service Tool
Architecture Musings
Architecture Musings
May 22, 2026 · Industry Insights

Deep Dive into ThoughtWorks Tech Radar Vol. 34: Engineering Practices and Cognitive Re‑construction in the Agent Era

The article analyzes ThoughtWorks Technology Radar Vol. 34, highlighting how the rise of AI‑driven agents reshapes software engineering evaluation, introduces semantic diffusion and cognitive debt, and forces a return to classic practices while spotlighting newly adopted tools like Kafbat UI and Typer and warning about emerging anti‑patterns.

AIAgentic Systemscognitive debt
0 likes · 34 min read
Deep Dive into ThoughtWorks Tech Radar Vol. 34: Engineering Practices and Cognitive Re‑construction in the Agent Era
Meituan Technology Team
Meituan Technology Team
May 22, 2026 · Artificial Intelligence

From High-Fidelity to Real-World Use: LongCat Video Avatar 1.5 Open‑Source Release

LongCat Video Avatar 1.5 is now open‑source, delivering commercial‑grade lip sync, physical realism, long‑video stability, multi‑person interaction and 15× faster inference through Whisper‑large audio encoding, DMD 8‑step distillation and LoRA adapters, and it outperforms leading closed‑source models in extensive human‑rated benchmarks.

AILongCat-Video-AvatarWhisper-large
0 likes · 9 min read
From High-Fidelity to Real-World Use: LongCat Video Avatar 1.5 Open‑Source Release
SuanNi
SuanNi
May 22, 2026 · Industry Insights

Inside SpaceX’s S‑1: How Elon Musk’s Mega‑IPO Aims to Build a Space‑AI‑Connectivity Empire

SpaceX filed its S‑1 prospectus, outlining a three‑segment business model—Space launches, Starlink connectivity, and AI after acquiring xAI—backed by a $28.5 trillion TAM, massive capital spend, dual‑class governance, and ambitious plans for orbital AI compute that together shape the largest IPO in history.

AIFinancial AnalysisIPO
0 likes · 19 min read
Inside SpaceX’s S‑1: How Elon Musk’s Mega‑IPO Aims to Build a Space‑AI‑Connectivity Empire
Java Architecture Diary
Java Architecture Diary
May 22, 2026 · Artificial Intelligence

What the Javadocs MCP Server Solves for Java AI Development

AI code assistants often misinterpret Java library placeholders because they rely on web searches or bytecode decompilation, which miss Javadoc details; the Javadocs MCP server indexes Maven Central Javadocs, letting AI retrieve accurate method signatures and placeholder rules, and can be added to Claude Code with a simple configuration.

AIClaudeHutool
0 likes · 7 min read
What the Javadocs MCP Server Solves for Java AI Development
Architects' Tech Alliance
Architects' Tech Alliance
May 21, 2026 · Industry Insights

DPU Deep Dive: The Hidden Workhorse Powering Data Centers

The article provides a comprehensive analysis of Data Processing Units (DPUs), detailing their role as off‑load engines in data centers, the rapid global market growth with China leading the surge, key technology trends, competitive landscape, and the major challenges that must be overcome for broader adoption.

AIChipletCloud Computing
0 likes · 12 min read
DPU Deep Dive: The Hidden Workhorse Powering Data Centers
Architecture Musings
Architecture Musings
May 21, 2026 · R&D Management

Why DORA Is Being Revived in the AI Era as a Timeless R&D Efficiency Metric

The article analyzes how generative AI has boosted individual coding speed but caused a 7.2% drop in team delivery stability, explains why the classic DORA metrics are being re‑emphasized, identifies their blind spots in the AI age, and offers a concrete, multi‑stage roadmap for building a modern R&D effectiveness measurement system.

AIDORADevEx
0 likes · 24 min read
Why DORA Is Being Revived in the AI Era as a Timeless R&D Efficiency Metric
AI Engineering
AI Engineering
May 21, 2026 · Frontend Development

Hallmark: Turning Ugly AI‑Generated Pages into Polished Designs

The article introduces Hallmark, an open‑source skill that equips AI coding tools with anti‑template design rules, enabling the generation of aesthetically pleasing, varied web pages by addressing common AI‑produced layout flaws such as purple gradients, single‑font usage, and overly centered content.

AIdesign automationfrontend
0 likes · 4 min read
Hallmark: Turning Ugly AI‑Generated Pages into Polished Designs
DataFunSummit
DataFunSummit
May 21, 2026 · Big Data

Alibaba Cloud’s Agent-Ready Big Data AI Infrastructure: Boosting Data Development from Hours to Minutes

Facing a projected 85% of enterprises deploying internal agents within two years, Alibaba Cloud proposes an Agent-Ready big‑data AI infrastructure—comprising a unified data lake, real‑time processing, high‑dimensional vector retrieval, elastic model serving, and comprehensive security governance—that has already cut data‑development cycles from hours to 5‑10 minutes in internal model‑training and Taobao flash‑sale scenarios.

AIAgent-ReadyData Lake
0 likes · 15 min read
Alibaba Cloud’s Agent-Ready Big Data AI Infrastructure: Boosting Data Development from Hours to Minutes
Machine Heart
Machine Heart
May 21, 2026 · Artificial Intelligence

AI Cracks 80-Year-Old Erdős Unit Distance Problem

OpenAI’s general‑purpose large language model independently disproved the Erdős unit‑distance conjecture, introducing a novel algebraic‑number‑theory construction that outperforms the long‑standing square‑grid approach and reshapes how AI can contribute to deep mathematical research.

AIErdős unit distance problemalgebraic number theory
0 likes · 9 min read
AI Cracks 80-Year-Old Erdős Unit Distance Problem
StarRocks
StarRocks
May 21, 2026 · Databases

Say Goodbye to Repeated Pitfalls with Our Open‑Source AI Skill for Database Troubleshooting

The article introduces starrocks‑debug‑skills, an open‑source, three‑layer knowledge base (Skills, Cases, Tools) that captures real‑world StarRocks troubleshooting experience, shows how AI assistants can use it to diagnose issues such as import timeouts, version errors, and compaction slowdowns, and explains how to contribute new cases.

AIDatabase TroubleshootingStarRocks
0 likes · 13 min read
Say Goodbye to Repeated Pitfalls with Our Open‑Source AI Skill for Database Troubleshooting
Digital Planet
Digital Planet
May 21, 2026 · Industry Insights

Is SAP Facing Its Own Nokia Moment?

The article analyzes SAP's Sapphire conference shift from ERP to AI, arguing that the company's historic moat is at risk as customers prioritize AI outcomes over traditional ERP functionality, and warns Chinese software firms that superficial AI add‑ons will not suffice in the new digital era.

AIBusiness AI PlatformERP
0 likes · 9 min read
Is SAP Facing Its Own Nokia Moment?
Amazon Cloud Developers
Amazon Cloud Developers
May 21, 2026 · Operations

How Habby Cut MTTR by 80% with Amazon DevOps Agent: A Game‑Industry Smart Ops Blueprint

Habby, a global casual‑game publisher, tackled traffic spikes, multi‑account complexity, rapid releases, and a small ops team by deeply integrating Amazon DevOps Agent with Grafana, Lark and GitHub, automating incident triage, on‑demand tasks and proactive prevention, which slashed MTTR from 2 hours to 20 minutes, reduced alert fatigue and boosted system reliability.

AIAmazonDevOps
0 likes · 22 min read
How Habby Cut MTTR by 80% with Amazon DevOps Agent: A Game‑Industry Smart Ops Blueprint
FunTester
FunTester
May 21, 2026 · Artificial Intelligence

How Anthropic Solves Agent Forgetfulness with Event Persistence

The article explains why in‑memory state is unreliable for long‑running or parallel agents, defines event persistence, shows how persisted event records enable checkpoint‑restart, observability, and experience extraction, and outlines practical guidelines for what to record.

AIAgentCheckpoint Restart
0 likes · 10 min read
How Anthropic Solves Agent Forgetfulness with Event Persistence
Java Backend Technology
Java Backend Technology
May 21, 2026 · Industry Insights

Goodbye Markdown, Hello HTML: Why AI Engineers Are Switching Formats

Anthropic engineer Thariq argues that HTML outperforms Markdown for AI‑augmented workflows, citing higher information density, better readability, near‑zero sharing cost, interactive capabilities, and increased enjoyment, while also weighing token cost, generation time, and version‑control challenges.

AIClaude CodeDocumentation
0 likes · 14 min read
Goodbye Markdown, Hello HTML: Why AI Engineers Are Switching Formats
java1234
java1234
May 21, 2026 · Backend Development

Three Months as an AI Code Babysitter: My Exhausting Journey and Hard Lessons

A veteran Java developer took a 5‑wan‑yuan retail project, relied on an end‑to‑end AI code generator for a month, then faced chaotic project structures, security flaws, and massive refactoring before discovering FeiSuan JavaAI's multi‑agent workflow that finally turned the disaster into a deliverable.

AIJavabackend development
0 likes · 21 min read
Three Months as an AI Code Babysitter: My Exhausting Journey and Hard Lessons
大转转FE
大转转FE
May 21, 2026 · Artificial Intelligence

Why AI Buzzwords Multiply Faster Than My Hair Falls

The article maps three generations of AI engineering—Prompt Engineering, Context Engineering, and Harness Engineering—explaining their core capabilities, key terms like LLM, RAG, Agent, and evaluation methods, while offering practical tips, pitfalls, and a concise three‑question checklist to stay grounded amid the rapid influx of new AI jargon.

AIAgentHarness
0 likes · 19 min read
Why AI Buzzwords Multiply Faster Than My Hair Falls
Linyb Geek Road
Linyb Geek Road
May 21, 2026 · Artificial Intelligence

Understanding Prompt, MCP, and Skill: Three Essential AI Concepts

The article explains how Prompt, Model Context Protocol (MCP), and Skill serve distinct but complementary roles in AI interaction—Prompt provides instant, conversational instructions, MCP connects the model to external tools and data, and Skill offers pre‑packaged expert capabilities, together forming a layered control hierarchy.

AIMCPPrompt
0 likes · 8 min read
Understanding Prompt, MCP, and Skill: Three Essential AI Concepts
Baidu Geek Talk
Baidu Geek Talk
May 20, 2026 · Artificial Intelligence

How We Tamed AI Output with a Three‑Layer Architecture for Android Code Migration to KMP

This article details how we used a three‑layer AI architecture—Skill for stable execution, SubAgent for context‑aware scheduling, and Agent Team for parallel collaboration—to reliably migrate a large Android codebase to a Kotlin Multiplatform project, addressing instability, context inflation, and efficiency challenges.

AIAgent TeamAndroid
0 likes · 15 min read
How We Tamed AI Output with a Three‑Layer Architecture for Android Code Migration to KMP
DataFunSummit
DataFunSummit
May 20, 2026 · Big Data

How Kuaishou’s Real‑Time Data Lake Boosts AI and BI Architecture

The article explains how Kuaishou partnered with Apache Hudi to overhaul its ODS‑based data lake, addressing latency, storage cost, and complexity for AI and BI workloads, detailing the evolution from mysql‑to‑hive to mysql‑to‑hudi 1.0 and 2.0, the resulting performance gains, cost savings, and future roadmap.

AIBIData Lake
0 likes · 20 min read
How Kuaishou’s Real‑Time Data Lake Boosts AI and BI Architecture
DataFunSummit
DataFunSummit
May 20, 2026 · Databases

Apache Doris 4.1: A Unified Data Store and Retrieval Engine for AI & Search

Apache Doris 4.1 introduces a systematic evolution for AI and search workloads, adding low‑cost massive vector storage, unified structured, full‑text and vector search, 100 MB JSON document support, Segment V3 metadata decoupling, sparse column optimizations, lakehouse lifecycle management, and a suite of performance‑boosting features such as aggregate push‑down, condition cache, and spill‑to‑disk, all backed by detailed benchmark results.

AIApache DorisLakehouse
0 likes · 30 min read
Apache Doris 4.1: A Unified Data Store and Retrieval Engine for AI & Search
Tech Minimalism
Tech Minimalism
May 20, 2026 · Artificial Intelligence

How Karpathy’s Markdown Wiki Redefines LLM Knowledge Management

The article examines the LLM Wiki concept introduced by Karpathy, explaining how a Markdown‑based wiki maintained outside the LLM context can persist and evolve model understanding, compares it with RAG, note‑taking tools and traditional knowledge bases, and outlines architectural components, risks, and practical guidelines.

AILLMMarkdown
0 likes · 14 min read
How Karpathy’s Markdown Wiki Redefines LLM Knowledge Management
Geek Labs
Geek Labs
May 20, 2026 · Frontend Development

Two Open‑Source AI Tools to Auto‑Generate HTML Slides and Hand‑Drawn Technical Diagrams

This article introduces two open‑source projects—beautiful‑html‑templates, which lets an AI generate complete HTML slide decks from plain instructions, and ian‑handdrawn‑ppt, which converts articles or outlines into a series of Chinese hand‑drawn style technical illustration images—detailing their features, usage steps, target users, and limitations.

AIHTML slidesfrontend
0 likes · 9 min read
Two Open‑Source AI Tools to Auto‑Generate HTML Slides and Hand‑Drawn Technical Diagrams
AI Insight Log
AI Insight Log
May 19, 2026 · Artificial Intelligence

Gemini 3.5 Flash Launches with 4× Speed, Beats Gemini 3.1 Pro in Coding Benchmarks

Google unveiled Gemini 3.5 Flash at I/O 2026, claiming roughly four times faster token output than comparable frontier models, half the price, and benchmark results that surpass its own Gemini 3.1 Pro in coding, agent, and multimodal tasks, while noting trade‑offs in deep reasoning and long‑context performance.

AIAgentAntigravity
0 likes · 12 min read
Gemini 3.5 Flash Launches with 4× Speed, Beats Gemini 3.1 Pro in Coding Benchmarks
Infinite Tech Management
Infinite Tech Management
May 19, 2026 · Industry Insights

Why Ten Years of Technical Notes Remain Useless to AI—and How to Fix It

After a decade of accumulating thousands of technical notes in Yuque, the author realized that without proper linking, retrieval, and AI‑compatible formatting, those notes become inaccessible, prompting a migration to Obsidian and a four‑layer knowledge‑asset framework that enables recording, linking, AI calling, and closed‑loop iteration.

AIGitKnowledge Graph
0 likes · 9 min read
Why Ten Years of Technical Notes Remain Useless to AI—and How to Fix It
AI Info Trend
AI Info Trend
May 19, 2026 · Industry Insights

How Top-Performing Companies Turn Competitive Advantage into Extreme Growth

McKinsey’s new report, based on 94 countries and 1,257 executives, reveals that only a minority of firms truly understand, validate, and operationalize their competitive advantage, while top performers use granular monitoring, external data and AI to embed advantage in every growth decision, achieving far higher revenue and EBIT growth.

AIBusiness PerformanceData Analytics
0 likes · 6 min read
How Top-Performing Companies Turn Competitive Advantage into Extreme Growth
dbaplus Community
dbaplus Community
May 19, 2026 · Artificial Intelligence

From RAG to GraphRAG: How Huolala Raised Metadata Retrieval Accuracy from 56% to 78%

The article details Huolala's transition from a basic Retrieval‑Augmented Generation (RAG) system to a GraphRAG architecture, explaining the challenges of traditional RAG, the design of offline and online stages, multi‑index hybrid search, concrete performance metrics (accuracy up to 78%, knowledge recall 91%, Top‑K 90%, MRR 0.73), and future plans such as stronger hybrid retrieval, reranking, and Agentic RAG.

AIGraphRAGHybrid Search
0 likes · 15 min read
From RAG to GraphRAG: How Huolala Raised Metadata Retrieval Accuracy from 56% to 78%
Ubuntu
Ubuntu
May 19, 2026 · Information Security

Linus Calls Out AI‑Generated Vulnerability Reports Flooding the Linux Security List

AI tools are generating massive, duplicate kernel vulnerability reports that overwhelm Linux maintainers, prompting Linus Torvalds to highlight the issue and the kernel’s new documentation that demands reproducible, verifiable reports, while Ubuntu users are advised to focus on updates rather than chasing every headline.

AIKernelLinux
0 likes · 10 min read
Linus Calls Out AI‑Generated Vulnerability Reports Flooding the Linux Security List
Machine Heart
Machine Heart
May 19, 2026 · Industry Insights

From Token Sales to Result Delivery: How AI Is Now Backed by KPI

The article examines how companies like Meta, Amazon, Sierra and Lingxi are moving from measuring AI by token consumption to charging for verifiable business results, outlining the RaaS model, its technical challenges, market data, and why result‑based pricing may become the dominant AI business paradigm.

AIAI Business ModelKPI
0 likes · 17 min read
From Token Sales to Result Delivery: How AI Is Now Backed by KPI
Java Backend Technology
Java Backend Technology
May 19, 2026 · Artificial Intelligence

Top 5 Java AI Frameworks You Should Know

This article reviews the five major Java AI frameworks—Spring AI, LangChain4j, Spring AI Alibaba, AgentScope‑Java, and Semantic Kernel—detailing their architectures, core features, pros and cons, and provides guidance on selecting the right one for different enterprise scenarios.

AIAgentScopeJava
0 likes · 22 min read
Top 5 Java AI Frameworks You Should Know
Tech Ocean
Tech Ocean
May 18, 2026 · Artificial Intelligence

Create Your Own AI Skill: Turn Business Processes into Reusable Instruction Templates

The article explains why teams should codify recurring workflows as Claude Code Skills, outlines three guiding principles, provides a detailed four‑step creation guide with concrete examples, shares a real‑world case, warns about common pitfalls, and shows how Skills become a version‑controlled knowledge asset.

AIClaude CodeProcess Automation
0 likes · 9 min read
Create Your Own AI Skill: Turn Business Processes into Reusable Instruction Templates
SuanNi
SuanNi
May 18, 2026 · Industry Insights

2026 OpenClaw Autonomous Agent Development Whitepaper Released

The 2026 OpenClaw autonomous‑agent whitepaper, unveiled on May 20, highlights a paradigm shift in AI from chatbots to self‑running agents, showcases explosive GitHub growth surpassing React, details emerging security frameworks from NIST and ISACA, and surveys a rapidly expanding ecosystem of forks and academic papers.

AIGitHubOpenClaw
0 likes · 5 min read
2026 OpenClaw Autonomous Agent Development Whitepaper Released
AI Info Trend
AI Info Trend
May 18, 2026 · Industry Insights

Future Enterprise Functions: AI, Regulation & Talent Shifts Redefine Back‑Office

BCG's latest report reveals that AI diffusion, rising regulatory and geopolitical complexity, and a talent shift toward digital expertise are fundamentally disrupting traditional G&A functions, prompting a move toward lightweight, automated, platform‑based back‑office systems with measurable cost and speed benefits.

AIDigitalTransformationERP
0 likes · 8 min read
Future Enterprise Functions: AI, Regulation & Talent Shifts Redefine Back‑Office
Black & White Path
Black & White Path
May 18, 2026 · Industry Insights

Is AI Killing the CTF Scene? An In‑Depth Look at the Decline

The article examines how rapid advances in large language models—from GPT‑4 to Mythos—have automated most CTF challenges, reshaping leaderboards, prompting top teams to quit, and forcing the security community to rethink competition formats, talent assessment, and education.

AICTFClaude Opus
0 likes · 16 min read
Is AI Killing the CTF Scene? An In‑Depth Look at the Decline
Smart Workplace Lab
Smart Workplace Lab
May 17, 2026 · Artificial Intelligence

How to Break AI Prompt Homogenization and Boost Workplace Value

The article explains why standard AI prompts produce bland, generic output, shares the author's experience of value erosion after over‑standardizing prompts, and presents a three‑step protocol that injects asymmetric, anti‑consensus material to create distinctive, high‑impact AI responses in professional settings.

AIAnti‑ConsensusDifferentiation
0 likes · 5 min read
How to Break AI Prompt Homogenization and Boost Workplace Value
Old Zhang's AI Learning
Old Zhang's AI Learning
May 17, 2026 · Mobile Development

How Gemini Intelligence Turns Android Phones into Personal Assistants

Google's Gemini Intelligence upgrades Android from an operating system to an AI-driven platform, enabling cross‑app automation, Chrome‑based browsing tasks, intelligent autofill, spoken‑to‑text messaging, and natural‑language widget creation, while reshaping hardware strategy and developer interfaces.

AIAndroidGemini
0 likes · 6 min read
How Gemini Intelligence Turns Android Phones into Personal Assistants
IT Services Circle
IT Services Circle
May 17, 2026 · Artificial Intelligence

60 Essential AI Terms Every Programmer Should Master

This article walks programmers through 60 core AI concepts—from the basics of large language models and tokens to advanced topics like prompt engineering, retrieval‑augmented generation, fine‑tuning, and inference optimization—organized into progressive skill levels and illustrated with concrete examples and code snippets.

AIInference OptimizationLarge Language Models
0 likes · 25 min read
60 Essential AI Terms Every Programmer Should Master
21CTO
21CTO
May 17, 2026 · Industry Insights

Git Is Unprepared for the AI Agent Coding Surge

The rapid rise of AI agents generating pull requests is straining GitHub’s infrastructure, prompting industry leaders to analyze performance data, explore alternative Git clients like GitButler and Jujutsu, and consider upcoming Git 3 changes such as Reftable to address scalability challenges.

AIGitGit 3
0 likes · 10 min read
Git Is Unprepared for the AI Agent Coding Surge
DataFunTalk
DataFunTalk
May 17, 2026 · Industry Insights

Why Andrew Ng Says It’s Time to Stop Claiming AI Will Cause Mass Unemployment

Andrew Ng argues that while AI is reshaping many jobs—from coding to content creation—it is not triggering a wholesale collapse of the employment market; instead, the narrative of an AI‑driven job apocalypse is fueled by hype, pricing strategies, and companies using AI as a convenient excuse for layoffs.

AIAI hypeAndrew Ng
0 likes · 7 min read
Why Andrew Ng Says It’s Time to Stop Claiming AI Will Cause Mass Unemployment
Digital Planet
Digital Planet
May 17, 2026 · Industry Insights

Can AI Outperform Humans in FMCG Marketing? Insights from 2.4 B Users and 210% Gains

The article analyzes why fast‑moving consumer goods sales have stalled, how most firms mis‑start AI projects by focusing on content creation, and how data‑driven AI applications—illustrated by case studies achieving 210% campaign lift, 98% forecasting accuracy, and 30% inventory turnover reduction—can truly transform the industry.

AIFMCGcase study
0 likes · 9 min read
Can AI Outperform Humans in FMCG Marketing? Insights from 2.4 B Users and 210% Gains
Liangxu Linux
Liangxu Linux
May 17, 2026 · Industry Insights

Will AI‑Generated Code Make Programmers Obsolete? A Reality Check

The author argues that although AI can produce syntactically correct code, it lacks the deep domain knowledge, debugging expertise, and architectural judgment required in real‑world projects, so programmers remain essential and must adapt by using AI as a tool rather than viewing it as a replacement.

AIautomationcareer advice
0 likes · 5 min read
Will AI‑Generated Code Make Programmers Obsolete? A Reality Check
AI Architecture Hub
AI Architecture Hub
May 17, 2026 · Product Management

Anthropic Founder’s Playbook: Building an AI‑Native Startup

The playbook breaks the startup journey into four stages—idea, MVP, launch, and scale—detailing what to do, common pitfalls, and how Anthropic’s Claude (Chat, Cowork, Code) can be applied at each stage to compress cycles, improve decision‑making, and turn founders into AI‑augmented product leaders.

AIClaudeMVP
0 likes · 41 min read
Anthropic Founder’s Playbook: Building an AI‑Native Startup
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
May 16, 2026 · Industry Insights

How to Build an AI‑Native Startup: Lessons from Anthropic’s Founder Playbook

Anthropic’s founder playbook reframes startup creation by showing how AI eliminates traditional execution barriers, turning founders into AI orchestrators, empowering small teams with enterprise‑level capabilities, and shifting competitive moats from model size to domain expertise, data flywheels, and locked‑in workflows.

AIAI-nativeCompetitive Moat
0 likes · 9 min read
How to Build an AI‑Native Startup: Lessons from Anthropic’s Founder Playbook
Smart Workplace Lab
Smart Workplace Lab
May 16, 2026 · Artificial Intelligence

How to Stop AI from Forgetting When Working Across Multiple Platforms – A Workplace AI Guide

The article describes a real‑world case where AI repeatedly loses context across document, drawing, and spreadsheet tools, explains why limited prompt windows cause this fragmentation, and provides a step‑by‑step variable‑pool routing protocol that centralises inputs to achieve consistent, reusable AI memory.

AIHermesOpenCrew
0 likes · 7 min read
How to Stop AI from Forgetting When Working Across Multiple Platforms – A Workplace AI Guide
Machine Heart
Machine Heart
May 16, 2026 · Industry Insights

Beyond Showmanship: Hangzhou 2026 Robot Contest Tests Real-World Work

At the 2026 Hangzhou International Embodied Robot Scenario Application Competition, over 200 teams from China and abroad performed standardized professional tests and real‑world scenario challenges—ranging from fire‑rescue to data‑center maintenance—to evaluate whether robots can truly work on site, while also driving standards such as the CR certification.

AICR certificationembodied robotics
0 likes · 15 min read
Beyond Showmanship: Hangzhou 2026 Robot Contest Tests Real-World Work
Data Party THU
Data Party THU
May 16, 2026 · Artificial Intelligence

How Leading Open‑Source Foundation Models and Their Derivatives Shape the AI Landscape

This article systematically analyzes the most influential open‑source foundation models—Meta Llama, Alibaba Qwen, Mistral AI, and others—detailing their core architectures, lightweight, instruction‑tuned, multimodal, and industry‑specific derivatives, and outlining current ecosystem characteristics and future development trends.

AILLMMultimodal
0 likes · 18 min read
How Leading Open‑Source Foundation Models and Their Derivatives Shape the AI Landscape
Digital Planet
Digital Planet
May 16, 2026 · Industry Insights

Why Data Capability Is the New Moat in the AI Era

The article argues that as AI models become commoditized, the decisive factor for enterprises is mastering data governance, data‑AI integration, and data flow, turning data into a strategic asset that creates a three‑layer moat and drives sustainable AI ROI.

AIAI industry trendsData Moat
0 likes · 13 min read
Why Data Capability Is the New Moat in the AI Era
SuanNi
SuanNi
May 15, 2026 · Product Management

How Anthropic’s AI‑Native Playbook Shows You to Build a Token‑Driven Startup

Anthropic’s 36‑page AI‑native founders playbook breaks the startup journey into idea, prototype, launch, and scale phases, detailing research‑driven validation, Claude Code‑powered development, automated testing, growth‑engine creation, and organizational scaling while warning of common pitfalls.

AIClaude CodeFounders Playbook
0 likes · 10 min read
How Anthropic’s AI‑Native Playbook Shows You to Build a Token‑Driven Startup
Xiaomi Tech
Xiaomi Tech
May 15, 2026 · Artificial Intelligence

How Xiaomi Leveraged AI to Transform Air‑Conditioner Installation and Energy Efficiency

The article details Xiaomi's end‑to‑end AI engineering practice for its air conditioners, covering installation‑height verification, AI‑driven energy‑saving control, rigorous lab validation, intelligent fault diagnosis, and cross‑team collaboration that turned vague business needs into measurable performance gains.

AICross-Team Collaborationair conditioner
0 likes · 16 min read
How Xiaomi Leveraged AI to Transform Air‑Conditioner Installation and Energy Efficiency
Bilibili Tech
Bilibili Tech
May 15, 2026 · Frontend Development

Building an AI‑Powered Frontend Development Workflow with Bili‑FE

This article details how the Bili‑FE team evolved prompt engineering into a Harness Engineering workflow, creating a structured .workflow knowledge base and a series of AI‑driven commands that automate the entire frontend development lifecycle from requirement preprocessing to testing and mock generation.

AIMCPautomation
0 likes · 20 min read
Building an AI‑Powered Frontend Development Workflow with Bili‑FE
Machine Heart
Machine Heart
May 15, 2026 · Artificial Intelligence

When AI Knows Too Much: How MemPrivacy Secures Agent Memory

MemPrivacy introduces a reversible, fine‑grained privacy layer for edge‑cloud agents, outperforming OpenAI's privacy‑filter by over 50 % F1 while keeping system utility loss under 2 %, thus enabling agents to remain useful without exposing raw sensitive data.

AIF1MemPrivacy
0 likes · 16 min read
When AI Knows Too Much: How MemPrivacy Secures Agent Memory
ZhiKe AI
ZhiKe AI
May 15, 2026 · Artificial Intelligence

How to Build Effective Claude Skills: Step‑by‑Step Guide, Limits, and Real Examples

This guide walks you through creating custom Claude skills—from defining a precise problem and naming conventions to crafting detailed descriptions, writing structured instructions, uploading via the UI or API, testing with realistic scenarios, iterating based on usage, and applying best‑practice tips with concrete skill examples.

AIAPIClaude
0 likes · 22 min read
How to Build Effective Claude Skills: Step‑by‑Step Guide, Limits, and Real Examples
Wuming AI
Wuming AI
May 14, 2026 · Industry Insights

Which Types of People Are Most Likely to Be Left Behind in the AI Era?

The article identifies five groups—process‑followers, slow learners, tool‑resisters, uncritical thinkers, and poor communicators—who risk being outpaced by AI, and outlines the traits of a "super individual" who can thrive by continuously learning, thinking critically, and leveraging AI tools effectively.

AICareerLearning
0 likes · 10 min read
Which Types of People Are Most Likely to Be Left Behind in the AI Era?
AI Engineering
AI Engineering
May 14, 2026 · Artificial Intelligence

How OpenAI’s Codex on Mobile Turns Phones into Decision‑Making Remotes

OpenAI has quietly added Codex to the ChatGPT mobile app for iOS and Android, letting developers monitor running sessions, approve commands, and make short‑term decisions from their phones without typing code, while keeping the execution environment secure on the host machine.

AIChatGPTCodex
0 likes · 3 min read
How OpenAI’s Codex on Mobile Turns Phones into Decision‑Making Remotes
Taobao Design
Taobao Design
May 14, 2026 · Artificial Intelligence

From Business Request to Scalable AI‑Generated Visual Assets

The article explains how to transform a single business request into a batch of AI‑generated marketing visuals by standardizing deterministic design structures, parameterizing variable elements, and building an end‑to‑end “input‑generate‑deliver” workflow that ensures both large‑scale consistency and sufficient visual individuality across multiple product categories.

AIautomationdynamic generation
0 likes · 7 min read
From Business Request to Scalable AI‑Generated Visual Assets
HyperAI Super Neural
HyperAI Super Neural
May 14, 2026 · Artificial Intelligence

YOLO‑11 Enables 94% Detection of Near‑Earth Object and Satellite Streaks

StreakMind, developed by the Spanish Royal Navy Academy’s observatory, combines real and synthetic astronomical images to train a YOLO‑11 oriented‑bounding‑box detector that robustly identifies satellite and asteroid streaks, achieving 94% precision and 97% recall on an independent test set of 273 images, and automatically integrates results into a standardized MPC database.

AIStreakMindYOLO-11
0 likes · 8 min read
YOLO‑11 Enables 94% Detection of Near‑Earth Object and Satellite Streaks
DataFunTalk
DataFunTalk
May 14, 2026 · Artificial Intelligence

Where Is the Real Moat in the AI Era as Large Models Become Commoditized?

The article analyzes how the rapid commoditization of large‑model capabilities reshapes AI competition, arguing that the true moat lies not in the models themselves but in deep ontology‑driven infrastructure that can guarantee trustworthy outcomes in high‑risk enterprise scenarios, as illustrated by Palantir’s strategy.

AIEnterprise AILarge Language Models
0 likes · 12 min read
Where Is the Real Moat in the AI Era as Large Models Become Commoditized?
AntData
AntData
May 14, 2026 · Artificial Intelligence

How RAG‑Powered DB‑GPT Enables Intelligent Marine‑Environment Queries with Text2SQL

The article presents a private‑deployed DB‑GPT solution that combines Retrieval‑Augmented Generation (RAG) and Text2SQL to address low utilization of unstructured marine‑environment knowledge, cross‑source data querying difficulties, and security concerns, detailing technical selection, implementation steps, and performance gains that reduce query time from 30 minutes to 1‑3 minutes.

AIDB-GPTKnowledge Retrieval
0 likes · 13 min read
How RAG‑Powered DB‑GPT Enables Intelligent Marine‑Environment Queries with Text2SQL
Subtle Storm
Subtle Storm
May 14, 2026 · Artificial Intelligence

Boost Architecture Paper Quality Fast with AI: A Practical Step‑by‑Step Guide

The article explains why many architects struggle to turn technical ideas into well‑written papers, how AI can translate those ideas into examiner‑friendly language without replacing critical thinking, and provides a detailed, three‑step workflow—including material preparation, precise prompt engineering, and iterative refinement—to dramatically improve paper quality and efficiency.

AIPrompt EngineeringSoftware Architecture
0 likes · 11 min read
Boost Architecture Paper Quality Fast with AI: A Practical Step‑by‑Step Guide
Node.js Tech Stack
Node.js Tech Stack
May 14, 2026 · Backend Development

Bun v1.3.14 Released: Rust Rewrite Nears Completion, May End Zig Era

Version 1.3.14 of Bun was released on May 13, featuring a massive Rust rewrite that has already passed tests on all major platforms, closed around 200 issues, introduced built‑in image processing, HTTP/3 support, and dramatically reduced binary size, while the migration—driven by AI agents—produced 960 k lines of Rust with 13,044 unsafe blocks, signaling a potential shift away from Zig.

AIBunHTTP/3
0 likes · 15 min read
Bun v1.3.14 Released: Rust Rewrite Nears Completion, May End Zig Era
AI Architecture Hub
AI Architecture Hub
May 14, 2026 · Artificial Intelligence

25 Prompt Templates to Boost Productivity with Claude, ChatGPT, and Gemini

The article provides 25 ready‑to‑copy markdown prompt templates for Claude, ChatGPT and Gemini, covering tasks such as structured note generation, exam creation, learning roadmaps, concept explanation, academic paper drafting, flashcard creation, study planning, email writing, meeting note organization, resume optimization, presentation prep, research synthesis, source validation, knowledge structuring, competitive analysis, video scripting, hook generation, flowchart building, code documentation, unit‑test generation, debugging assistance, regex building, conventional commit creation, and workflow automation.

AIChatGPTClaude
0 likes · 40 min read
25 Prompt Templates to Boost Productivity with Claude, ChatGPT, and Gemini
TonyBai
TonyBai
May 14, 2026 · Industry Insights

Why Top Software Veterans Are Switching to Go and Rust in the AI Era

In the AI‑driven era, legendary programmers Eric S. Raymond and Uncle Bob argue that hand‑coding is fading, proposing two new criteria—AI’s ability to generate quality code and human readability—that make Go’s simplicity and Rust’s safety the preferred languages over traditional C, Java, and Python.

AIGoRust
0 likes · 10 min read
Why Top Software Veterans Are Switching to Go and Rust in the AI Era
Sohu Tech Products
Sohu Tech Products
May 13, 2026 · Artificial Intelligence

Three Simple Steps to Make AI‑Cloned Voices Sound Truly Like You

The article reveals that 80% of AI voice‑cloning failures stem from poor recording quality, analyzes three fatal sample defects—noise pollution, high‑frequency loss, and invalid segments—and proposes a three‑step “Extract → Enhance → Select” pipeline using BS‑RoFormer, DeepFilterNet3 and NISQA, boosting similarity from 68% to 89%.

AISpeech Synthesisaudio preprocessing
0 likes · 16 min read
Three Simple Steps to Make AI‑Cloned Voices Sound Truly Like You
dbaplus Community
dbaplus Community
May 13, 2026 · Backend Development

One‑Click Bug Fixes: AI‑Powered Log Diagnosis Skill with MCP

The article explains how to combine Claude Code's Skill framework with the Model Context Protocol (MCP) to let AI automatically fetch logs, extract key information, cross‑reference code, and pinpoint root‑cause bugs in a single command, illustrated by a hidden SQL bug case and efficiency tips.

AIClaude CodeMCP
0 likes · 14 min read
One‑Click Bug Fixes: AI‑Powered Log Diagnosis Skill with MCP
SuanNi
SuanNi
May 13, 2026 · Industry Insights

How LinkedIn Executives Say Success in the AI Era Depends on Being Human

LinkedIn’s chief opportunity officer explains that AI is reshaping jobs at unprecedented speed, urging leaders to abandon rigid hierarchies, adopt the 5C framework of human skills, and redesign workflows around AI rather than merely automating tasks.

5C FrameworkAIHuman Skills
0 likes · 9 min read
How LinkedIn Executives Say Success in the AI Era Depends on Being Human
ITPUB
ITPUB
May 13, 2026 · Databases

Is the Hype Around Vector Databases a Pseudo‑Demand in the AI Era?

The article questions whether dedicated vector databases are truly needed for AI applications, examining market hype, the rapid emergence of many vector‑DB products, real‑world examples like PostgreSQL pgvector and major vendor integrations, and the hidden costs of data fragmentation and operational complexity.

AIPgVectorPostgreSQL
0 likes · 15 min read
Is the Hype Around Vector Databases a Pseudo‑Demand in the AI Era?
Smart Workplace Lab
Smart Workplace Lab
May 13, 2026 · Industry Insights

How to Counter AI‑Powered Low‑Price Bidding in Freelance Outsourcing

The article analyzes why competing on quality fails against AI‑driven low‑price bids, proposes a closed‑loop value model with a weighted pricing matrix, and offers differentiated service packages and AI prompts to help freelancers reshape profit structures and avoid price wars.

AIindustry insightoutsourcing
0 likes · 6 min read
How to Counter AI‑Powered Low‑Price Bidding in Freelance Outsourcing
Machine Heart
Machine Heart
May 13, 2026 · Artificial Intelligence

From 0 to 193 Logins in 88 Days: Evidence‑Driven AI Empowers 5 Million Chinese Doctors

Facing overwhelming patient loads and unreliable AI hallucinations, Chinese doctors turned to a new medical AI that combines low‑hallucination retrieval‑augmented generation, PICO‑GRADE evidence structuring, reward‑based model alignment and expert‑in‑the‑loop feedback, delivering clinically vetted answers in seconds and gaining 193 logins within 88 days.

AIMedical AIRAG
0 likes · 16 min read
From 0 to 193 Logins in 88 Days: Evidence‑Driven AI Empowers 5 Million Chinese Doctors
Machine Heart
Machine Heart
May 13, 2026 · Industry Insights

Breaking: Lin Junyang’s New AI Lab Targets $2 B Valuation

Former Alibaba AI leader Lin Junyang is reportedly raising hundreds of millions for a new AI lab that could be valued at $2 billion, with venture firms Gaorong Capital and Sequoia Capital in talks and a team recruited from ByteDance, Tencent and overseas talent.

AIAlibabaLin Junyang
0 likes · 5 min read
Breaking: Lin Junyang’s New AI Lab Targets $2 B Valuation
Architects' Tech Alliance
Architects' Tech Alliance
May 13, 2026 · Industry Insights

Why Trump’s China Trip Brought an All‑Star Lineup of US Tech Giants

During Trump’s May 13‑15 state visit to China, the White House announced a roster of leading US technology, finance, aviation and agriculture companies—highlighting AI as the central theme and underscoring the market barriers these firms face in China, with potential ripple effects across the global tech supply chain.

AITrumpUS-China
0 likes · 4 min read
Why Trump’s China Trip Brought an All‑Star Lineup of US Tech Giants
DataFunTalk
DataFunTalk
May 13, 2026 · Artificial Intelligence

How a 0.5 MB AI Model Tackles Global Supply‑Chain Challenges: Li‑Net in Action

Li‑Net, a 0.5 MB multi‑channel time‑series model co‑developed by SF Technology and Chinese universities, achieves state‑of‑the‑art accuracy with linear‑complexity attention, runs on edge devices, and has been deployed across SF's global supply‑chain for demand forecasting, inventory optimization, and capacity planning, delivering measurable cost reductions.

AIEdge DeploymentLi-Net
0 likes · 4 min read
How a 0.5 MB AI Model Tackles Global Supply‑Chain Challenges: Li‑Net in Action
FunTester
FunTester
May 13, 2026 · Artificial Intelligence

How to Become an AI Quality Architect: A Practical Guide

The article explains how quality should be designed rather than merely measured, contrasts traditional QA with modern Quality Engineering, outlines the AI‑driven challenges and required metrics, and provides a concrete career roadmap for aspiring AI Quality Architects.

AICost of QualityQuality Architect
0 likes · 9 min read
How to Become an AI Quality Architect: A Practical Guide
MeowKitty Programming
MeowKitty Programming
May 12, 2026 · Backend Development

Why AI Prompt Tricks Matter Less Than a Structured Java Development Workflow

The article outlines a step‑by‑step AI‑assisted workflow for Java backend developers, emphasizing early requirement translation, using AI to map existing code, breaking implementation into tiny, well‑scoped tasks, generating risk‑focused tests, and performing a reverse review before submitting a PR, all while keeping human verification at each stage.

AIBackendCode Review
0 likes · 8 min read
Why AI Prompt Tricks Matter Less Than a Structured Java Development Workflow
Code of Duty
Code of Duty
May 12, 2026 · Fundamentals

Speed Up Conda and pip in China: 2026 Guide to Configuring Domestic Mirrors

This guide explains why the default Conda and pip sources are slow in China, shows how to check current settings, switch to Tsinghua mirrors for both Conda and pip, verify the configuration, and provides additional tips such as using mamba, creating isolated environments, and avoiding common AI‑project pitfalls.

AIMambaPython
0 likes · 7 min read
Speed Up Conda and pip in China: 2026 Guide to Configuring Domestic Mirrors
Data Party THU
Data Party THU
May 12, 2026 · Artificial Intelligence

Time Series Large Models Explained: What They Are and Why They Matter

The article introduces time‑series data, its ubiquitous examples, the challenges of traditional small models, and proposes a universal time‑series large model that simplifies data preparation and model building, ultimately enabling more efficient and stable industrial AI solutions, now offered as a cloud service.

AIARIMACRISP-DM
0 likes · 6 min read
Time Series Large Models Explained: What They Are and Why They Matter
DeepNoMind
DeepNoMind
May 12, 2026 · R&D Management

Managing Engineering Teams in the AI Era: Rethinking Processes, Structure, and Metrics

Fiona Fung explains how the Claude Code team shifted from code‑centric bottlenecks to verification, review, cross‑functional collaboration and safety, cutting outdated processes, flattening the org, leveraging Claude for PR automation, shifting left testing, and measuring impact with new onboarding, PR‑cycle, and AI‑assisted commit metrics.

AIClaude CodeEngineering Management
0 likes · 18 min read
Managing Engineering Teams in the AI Era: Rethinking Processes, Structure, and Metrics
Digital Planet
Digital Planet
May 12, 2026 · Industry Insights

Over 65% Data Distortion in FMCG Channels: How AI‑Driven Digitalization Can Raise Activation Efficiency by 30% in 2026

The article analyzes how tight control and outdated reporting create a data black‑box in fast‑moving consumer goods distribution, leading to over 65% data distortion, wasted promotional spend, and weekend sales pressure, and proposes a three‑layer AI‑enabled digital solution that could boost activation efficiency by up to 30% by 2026.

AIData AccuracyFMCG
0 likes · 11 min read
Over 65% Data Distortion in FMCG Channels: How AI‑Driven Digitalization Can Raise Activation Efficiency by 30% in 2026
AI Info Trend
AI Info Trend
May 12, 2026 · Industry Insights

McKinsey 2026 Report Uncovers 3 Golden Rules to Scale Cleantech in Its Golden Growth Phase

The McKinsey 2026 cleantech report shows that despite recent funding slow‑downs, investment remains robust, outlines three development phases, and identifies three core rules—cheaper, faster, better—while warning of common pitfalls and highlighting AI, standardisation and low‑cost financing as future growth drivers.

AIcleantechinvestment
0 likes · 6 min read
McKinsey 2026 Report Uncovers 3 Golden Rules to Scale Cleantech in Its Golden Growth Phase
Woodpecker Software Testing
Woodpecker Software Testing
May 12, 2026 · Artificial Intelligence

How AI Transforms CI/CD Pipelines: Real-World Practices and Pitfalls

The article examines how AI can be integrated into CI/CD pipelines to optimize builds, intelligently orchestrate tests, and enhance release decisions, presenting concrete implementations, performance gains, and four common pitfalls with mitigation strategies based on experiences from financial and SaaS projects.

AIBuild OptimizationCI/CD
0 likes · 9 min read
How AI Transforms CI/CD Pipelines: Real-World Practices and Pitfalls
Architect's Journey
Architect's Journey
May 12, 2026 · Industry Insights

How One-Person Teams Powered by AI Are Disrupting Traditional Organizations

The article argues that AI‑augmented one‑person teams (OPT) can replace conventional multi‑role software teams, detailing real‑world warehouse observations, the definition of OPT, its impact on productivity, hiring practices, and the shifting value of experience for senior engineers.

AIFull-stack AI EngineerOne Person Team
0 likes · 9 min read
How One-Person Teams Powered by AI Are Disrupting Traditional Organizations