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1165 related articles
·4 min
Anthropic's Official Breakdown: Three Core Components for Building AI Agents
Anthropic Developer Conference deep dive into three core AI Agent architectures: Build (code execution), Connect (Web Search & MCP), and Optimize, with live demos and multi-tool collaboration examples.
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·3 min
Cursor vs Codex In-Depth Comparison: Where Should You Spend Your $200?
In-depth comparison of Cursor and Codex AI programming tools — their strengths, ideal use cases, and cost differences. Find out where your $200 is best spent.
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·4 min
Can't Fill Out Prompt Templates Properly? The Four-Module Incremental Method Doubles Your AI Output Quality
Struggling with prompt templates? Learn the four-module incremental method—Role, Skills, Constraints, Response Format—to dramatically improve AI output quality.
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·4 min
Cursor Composer2 Training Revealed: A Complete Guide to Distributed Reinforcement Learning Engineering
Deep dive into how Cursor trained Composer2: two-stage architecture, global distributed clusters, MOE numerical alignment, simulation anti-cheating, and more.
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·4 min
Core Principles of Coding Agents: How Perception and Context Engineering Determine AI Coding Effectiveness
Deep dive into why coding Agents differ: perception lets Agents understand projects first, context engineering precisely filters information within limited token budgets.
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·4 min
Agent Development Learning Roadmap: A Four-Stage Systematic Guide from Beginner to Practitioner
A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.
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·4 min
The 8 Core Modules of Prompt Engineering: A Complete Guide from Fundamentals to Advanced Techniques
A systematic breakdown of the 8 core modules of prompt engineering, covering fundamentals, CoT, Few-shot, prompt security, and real-world AI applications.
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·4 min
Claude Code Practical Guide: Deep Dive into 7 Core Modules with Learning Path
Deep dive into Claude Code's 7 core modules: project integration, agent construction, multi-agent collaboration, plugin systems, and workflow automation, with learning tips and certification trends.
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·3 min
Monetizing Claude Code: 4 Proven Revenue Paths Broken Down
Deep breakdown of 4 monetization paths for Claude Code: AI-accelerated freelancing, shipping tools at scale, selling methodology, and content creation. Each path is validated with real examples.
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·2 min
CreateNow Agent Configuration Tutorial: One-Click Integration with DeepSeek and Other Major LLMs
Step-by-step guide to configuring CreateNow agents with DeepSeek, Kimi, and Xiaomi LLMs. Covers one-click setup, custom model integration, and API Key acquisition for building AI digital employees.
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·2 min
ChatGPT Merges with Codex: What a 24-Hour Autonomous AI Assistant Means
OpenAI fully integrates Codex into ChatGPT, creating an AI digital worker capable of autonomous planning and up to 24 hours of continuous execution. A deep dive into core upgrades, use cases, and industry impact.
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·3 min
The Complete Guide to Claude Code: Five Stages of AI Programming Tools & Practical Applications
A deep dive into Claude Code's positioning and use cases, covering the five evolutionary stages of AI programming tools from traditional coding to autonomous agents.
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·2 min
Claude Code: The Ultimate Beginner's Guide — A Deep Dive into the Open-Source Project That Hit 33K Stars in 3 Days
Deep dive into the viral Claude Code manual on GitHub (33K+ Stars): slash commands, memory system, MCP protocol, Hooks plugins, and how to build a full AI dev team.
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·2 min
Claude Code Hooks: A System-Level Safety Lock for AI Programming
Deep dive into Claude Code Hooks: how Pre-tool and Post-tool Hooks create system-level safety guardrails for AI programming, from sensitive file protection to automated code standards.
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·3 min
AI Startup in Practice: A Complete Breakdown of $8,374 in Revenue from a $100 Investment in 13 Days
Robbie, an ordinary employee, used $100 and an AI Agent to launch a business, earning $8,374 in 13 days. A full breakdown of the path from failure to success, including AI-driven market analysis and a stunning 43.8% conversion rate.
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·2 min
Andrew Ng Partners with Google to Launch Gemini CLI Course: A Practical Guide to AI-Powered Coding
Andrew Ng partners with Google on a Gemini CLI course covering installation, MCP protocol integration, automated workflows, and agentic coding best practices for AI-assisted development.
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·2 min
Is Claude Opus 4.8 Real? Risk Analysis of No-VPN AI Platforms
In-depth analysis of viral Claude Opus 4.8 no-VPN tutorials on Bilibili, exposing fake model versions, third-party platform security risks, and legitimate ways to access international AI models.
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·2 min
The Five-Layer Evolution of Scaling Law: How Physical AI Opens the Next Growth Curve
Deep analysis of Scaling Law's five-layer evolution from Pre-Training to Multi-Agent, exploring Physical AI's World Models, edge inference, and emotional interaction.
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·3 min
Claude AI Tips: 16 Practical Methods from Beginner to Advanced
A systematic guide to 16 core Claude AI tips covering basic setup, connectors, Artifacts app development, voice mode, automation, and Claude Code programming to unlock Claude's full productivity potential.
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·2 min
Claude Code Dynamic Workflows Explained: A Hands-On Guide to Sub-Agent Orchestration and Reuse
Learn how Claude Code Dynamic Workflows orchestrate sub-agents for parallel tasks. Compare four collaboration modes, enable workflows, and save them for reuse.
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