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AI Skills System: A Practical Guide to On-Demand Capability Loading for Agents
Deep dive into the AI Skills system architecture and execution flow, covering Skill.md dual-layer design, skill scanning and matching, on-demand loading, and practical integration methods.
Deep Dive into Claude Code: A Five-Dimension Comparison with Traditional AI Chat Tools
Deep analysis of Claude Code vs traditional AI chat tools across 5 dimensions: interaction, context, execution, memory, and tool integration, plus a Cursor comparison.
Former Google Executive Mo Warns: A Massive AI Shakeup Is Coming — Four Survival Skills You Must Master
Former Google X CBO Mo Gawdat warns AI will disrupt the job market within 2-3 years, with some industries facing 30% unemployment. He outlines four survival skills and predicts education will be completely transformed.
Agent Skills Architecture Explained: A New Paradigm for Modular AI Agent Development
A deep dive into Agent Skills architecture: core concepts, components, and how it works. Clarifies common misconceptions about Skills vs. MCP, and compares Skills with Multi-Agent architecture.
6 AI Testing Skills Covering the Full Workflow, Boosting Efficiency Several Times Over
6 AI Skills for test engineers: test case generation, PRD-to-XMind, JMeter scripts, Playwright automation, performance reports, and requirement checklists—completing 2-3 days of work in half a day.
Loop Engineering Explained: An Engineering Approach to Making AI Coding Agents Run Autonomously in Loops
A deep dive into Loop Engineering and the Rhythmic framework: how closed-loop systems replace repetitive prompting to enable autonomous AI coding agents with state management and budget control.
Harness Engineering in Practice: Mastering the Four Core Principles and Implementation Methods
Deep dive into Harness Engineering's four core principles: Documentation as Source of Truth, Mechanized Constraints, Feedback Loops, and Entropy Management, with practical AI Agent cases.
From a Single Prompt to an AI Product:…
From a Single Prompt to an AI Product: Starting Is Easy, Shipping Is Hard
AI startups begin with a prompt, but going from idea to product means overcoming major technical, product, and business challenges. A low barrier to entry doesn't mean a low barrier to success.
Hands-On Tutorial: Build an Image-to-Prompt Feature in 3 Minutes with Cursor
Step-by-step tutorial on using Cursor AI to build an image-to-prompt feature in minutes. No coding required — call multimodal APIs to reverse-engineer AI art prompts.
Cursor Practical Tutorial: A Complete Guide from Installation to Efficient Workflows
A detailed guide to Cursor AI programming tool covering installation, prompting techniques, model selection, Rules configuration, and practical workflows for developers and content creators.
Java Developer's Guide to AI: Hands-On with Spring AI and RAG
A practical guide for Java developers to build AI apps without switching languages — covering LLM APIs, prompt engineering, RAG, Spring AI, and Langchain4j.
ARD Protocol Explained: How AI Agents Autonomously Discover and Invoke Tools
ARD (Agentic Resource Discovery) is an open spec by Google, Microsoft & 9 other tech giants, giving AI agents tool discovery. Learn its architecture, MCP synergy & security challenges.
AI-Generated Deployment Docs + Cloudflare in Practice: The Full MokerSaaS Launch Workflow
How MokerSaaS used AI tool Cosmo to auto-generate Cloudflare deployment docs, then followed the document-driven workflow to bundle, deploy, and launch.
iFLYTEK AI Smart Alarm Clock Learning Device: In-Depth Analysis of Features, Value, and Buying Guide
iFLYTEK's AI Smart Alarm Clock Learning Device features the Spark LLM, synced K-12 courses, AI Q&A, and story features — all for around 167 RMB. Full review of features, value, and buying tips.
Cursor's Compole Event: The Developer Community Strategy Behind Custom Keyboards
Cursor hosts the Compole in-person event with custom keyboard building as a highlight. Analyzing how AI coding tools use developer culture and community strategy to build brand loyalty amid fierce IDE competition.
Anthropic Build Day Hackathon: How Top Developers Build AI Applications with Claude
Anthropic hosted a Build Day hackathon in Cerebral Valley, inviting top developers to demo AI apps built on Claude. Analysis of developer ecosystem strategy and industry competition.
MiniMax M3 Coding Benchmark: 1/765th the Price of Opus, but Better Code Quality?
Real-world coding tests compare MiniMax M3 vs Cursor Composer 2.5 across three tasks. At 1/765th the price of Claude Opus, M3 delivers better code quality, tests, and project structure.
Claude Code Routines Explained: Automation in Practice with Proactive AI Coding Agents
Deep dive into Claude Code Routines: build proactive AI coding agents with time-scheduled and event-driven triggers. Covers automated docs, deploy verification, and on-call investigation.
How Much Math Do AI Practitioners Really Need? A Deep Dive into Three Role Types
How much math do AI/ML practitioners really need? This article breaks down three roles — Users, Developers, and Researchers — and analyzes the math requirements for each to help you plan your learning path.
Can AI Q&A Tools Solve College Application Anxiety? A Sober Analysis of Their Value and Limitations
Can AI Q&A tools help students and parents resolve major-selection anxiety during college application season? This article analyzes AI consulting quality, use cases, and limitations.