#progressive loading
242 related articles
·3 min
Claude Code in Practice: Building a WebSocket Real-Time Chat Room from Scratch
Learn how to build a WebSocket real-time chat room with Claude Code, covering multi-room systems, private messaging, emoji/image sending, message search and export, plus full setup and bug-fixing workflow.
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·3 min
Claude Code Skills Explained: A Practical Guide to AI-Powered Test Case Generation
Deep dive into Claude Code Skills: four core advantages including progressive loading, version control, and reusability, plus a practical guide to AI-powered test case generation.
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·4 min
Anthropic Dynamic Workflows Explained: When to Use Them and Pitfalls to Avoid
Deep dive into Anthropic Dynamic Workflows: core mechanisms, differences from single Agent and Sub-Agent patterns, and a decision tree for when to use them vs. when to avoid burning tokens.
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·3 min
Claude Generates 10 Web Games from One-Line Prompts: Zero-Code AI Programming in Action
Use Claude Code to generate 10 web games like 2048, Gomoku, and Tetris from one-line prompts — zero manual coding. A full walkthrough of AI programming in practice.
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·3 min
Andrew Ng and Anthropic's Definitive Claude Code Tutorial: A Deep Dive
Andrew Ng and Anthropic launch a Claude Code course covering context management, parallel sessions, MCP server integration, and hands-on projects in RAG, data analysis, and Figma-to-code conversion.
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·3 min
Claude Code Skills Mechanism Explained: On-Demand Loading for Token Savings and Better Performance
Deep dive into Claude Code's Skills mechanism: on-demand loading replaces bulk context dumping, cutting Token costs and boosting output quality with modular expertise.
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·4 min
Technical Breakdown of Campus Find: A DeepSeek-Powered AI Lost & Found System
Deep dive into Campus Find, a WeChat mini program using DeepSeek AI for smart lost & found matching, OCR recognition, QR code returns, and AI mascot interaction.
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·4 min
Agent Tool Selection Guide: A Comprehensive Comparison of API, CLI, MCP, Browser Use, and Computer Use
Compare 5 Agent tool types: CLI, API, MCP, Browser Use & Computer Use on speed, accuracy, and token cost. Includes a selection priority table to cut costs and boost Agent efficiency.
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·4 min
AI Builds Mortal Kombat from Scratch: Claude vs. Codex vs. Gemini — A Three-Way Showdown
Three top AIs build Mortal Kombat from scratch: Claude Opus, GPT Codex, and Gemini tested across code generation, gameplay control, and Godot engine integration.
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·3 min
Hermes Agent Deployment Guide: Building a Mobile AI Coding Workflow with Telegram
Learn how to deploy Hermes Agent on a VPS with Telegram Bot integration for mobile AI coding. Covers Docker setup, GitHub integration, auto-deployment, and comparison with OpenClaw.
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·3 min
AI Large Model Learning Roadmap Breakdown: Three Stages from Application Development to Model Fine-Tuning
Deep breakdown of a popular AI large model learning roadmap covering LangChain, RAG, Agent, and LoRA fine-tuning across three stages, with analysis of its strengths and limitations for career changers.
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·2 min
DiffusionGemma: Google's Open-Source Diffusion Language Model Exceeding 500 Tokens/s
Google releases DiffusionGemma, an open-source diffusion language model with Apache 2.0 license. The 26B-parameter MoE model achieves over 500 tokens/s in real-world tests.
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·3 min
Agent Skills: Folders as Skills — Making AI Produce Precise, Template-Based Output
Agent Skills splits AI capabilities into independent skill folders with on-demand loading and progressive disclosure, cutting token costs by 80% and reducing hallucinations for template-based output.
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·3 min
Claude Code Installation Guide & The Five Stages of AI Programming Tools Explained
Complete Claude Code installation guide with the five stages of AI programming tools, from manual coding to agents. Learn 0-to-1 project building and 1-to-100 iteration challenges.
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·3 min
AI Large Language Model Learning Roadmap for Beginners: A Complete Plan from Basics to Hands-On Practice
A systematic AI LLM learning roadmap for beginners covering prompt engineering, RAG, LangChain, Agents, and more — with timelines and project suggestions.
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·2 min
Java Backend Interview Prep Roadmap: A 6-Week Sprint Guide Integrating AI Agent Development
A systematic 6-week Java backend interview prep roadmap covering JVM internals, Spring Boot, Redis, microservices, plus Spring AI, LangChain4j, and RAG for AI Agent development.
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·4 min
LangChain4j in Practice: A Complete Tutorial for Building a RAG Medical Q&A System
A complete tutorial on building a RAG medical Q&A system with LangChain4j, covering Ollama local deployment, Redis vector DB, document vectorization, and Cursor AI-assisted development.
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·3 min
OpenAI Codex Deep Dive: Core Capabilities and Engineering Best Practices Guide
Deep dive into OpenAI Codex's core capabilities including multi-task parallelism, Agent Loop mechanism, and Specification-Driven Development (SDD), with learning resources and advanced paths for mastering AI programming workflows.
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·1 min
Andrew Ng Partners with Anthropic to Launch Agent Skills Course: Build Once, Deploy Anywhere
Andrew Ng and Anthropic launch the Agent Skills course, teaching how to package domain expertise into reusable Skill modules for build-once, deploy-anywhere AI Agents.
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·2 min
Andrew Ng's Agent Skills Tutorial: A Complete Guide to Teaching AI Agents New Skills
A deep dive into Andrew Ng and Anthropic's Agent Skills course: how to empower AI agents like Claude Code with new capabilities through standardized skill files, progressive loading, and MCP integration.
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