#hands-on AI development
1544 related articles
·2 min
From Beginner to Advanced AI Agent Development: A Deep Dive into One Essential Hands-On Book
A deep dive into a hands-on AI Agent development book covering component architecture, RAG, multi-agent systems, Function Calling, and production observability.
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·6 min
AI Agent Development Learning Path: Four Stages from Zero to Hands-On Projects
A systematic breakdown of the AI agent development learning path, covering four stages: fundamentals, RAG knowledge bases, tool use, multi-agent collaboration, and hands-on projects.
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·4 min
100,000 Lines of Code in 7 Days: A Solo Developer's Hands-On Guide to AI-Assisted iOS Development
A solo developer iterated an iOS app to 100,000 lines of code in 7 days and shipped it. This article breaks down the core methodology: delegate the frontend to AI, control the backend by hand.
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·6 min
AI Agent Development in Go: A Hands-On Guide to ByteDance's Eino Framework and Its Seven Core Capabilities
Build production-grade AI Agents with a pure Go stack using ByteDance's Eino framework. A deep dive into seven core capabilities: multi-Agent orchestration, long-task execution, command approval, RAG, MCP, Skills, and database reporting.
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·6 min
A Three-Month AI Agent Learning Roadmap: From Zero to Hands-On Agent Development
A systematic breakdown of the complete AI Agent learning roadmap, covering prompt engineering, the ReAct paradigm, memory mechanisms, and multi-agent collaboration, with hands-on project advice.
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·7 min
LangChain Hands-On Guide: From LLM Calls to Agent Development
Master LangChain from scratch: the three limitations of LLMs, init_chat_model unified interface config, the Message type system, and the path from LLM calls to Agent development.
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·6 min
LangChain 1.0 Comprehensive Guide: Three Core Frameworks and Hands-On AI Application Development
Deep dive into LangChain 1.0's architecture: LangChain framework, LangGraph multi-Agent orchestration, and LangSmith observability platform, with hands-on RAG and intelligent customer service projects.
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·3 min
MiniMax Code Hands-On Review: How AI Development Team Mode Redefines Programming Collaboration
In-depth review of MiniMax Code (MCode) Agent Team collaboration through Starbucks financial visualization and Next.js website development cases.
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·2 min
Antigravity Android Plugin: A Hands-On Guide to AI-Powered Android Development
Explore Google's Antigravity Android plugin: auto Android CLI setup, Skills system for Compose Style & Nav 3, and AI-driven full-cycle Android development.
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·3 min
AI Agent Hands-On Learning Path: A Complete Guide from Beginner to Enterprise-Level Development
A systematic AI Agent development learning roadmap covering prompt engineering, RAG, multi-Agent collaboration, tool calling, and more—with phased learning advice and 28 hands-on project references.
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·3 min
UE5 + Claude Code Hands-On: A Free Plugin Combo for an AI Game Development Workflow
A detailed breakdown of a free UE5 + Claude Code plugin workflow, covering setup of Unreal Claude and Vibe UE, prompt techniques, and building an endless runner game from scratch.
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·3 min
Java Developer's Guide to AI Application Development: Career Path, Skills, and Hands-On Strategy
A practical guide for Java developers transitioning to AI app development. Includes a 45-day learning plan covering Spring AI, RAG, Agent skills, plus resume and interview strategies.
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Product Reviews·2 min
Tencent CodeBuddy IDE Hands-On Review: Full-Stack AI Platform Development Experience
Hands-on review of Tencent's CodeBuddy standalone IDE: building the Xiaohe Architecture AI Platform with Chat/Craft/Plan modes, CloudBase integration, and free Claude 4 and GPT-5 access.
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Product Reviews·4 min
BeMAD Open-Source Framework Hands-On: A 6-Hour Zero-to-Launch AI Full-Stack Development Experience
Deep dive into BeMAD, a GitHub open-source framework with 50+ guided workflows and 21 AI Agents that compressed WeChat Mini Program development from idea to launch into just 6 hours.
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Tutorials·3 min
Getting Started with LangChain: Core Concepts and Hands-On Guide for LLM and Agent Development
A systematic guide to LangChain's core features, covering LLM vs. Agent concepts, unified interface design, multi-provider support, environment setup, and hands-on code examples for AI app development.
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Product Reviews·3 min
Zenflow Hands-On Review: Spec-Driven AI Coding vs. Pure Prompt-Based Development
In-depth review of Zenflow's spec-driven AI coding vs Google AI Studio's prompt-based approach. Covers multi-agent execution, automated validation, version rollback, and the paradigm shift in AI programming.
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Tutorials·2 min
Deep Dive into OpenAI Codex Plugin System: Architecture, Installation, and Hands-On Development
Deep dive into OpenAI Codex plugin system architecture (Skills, Apps, MCP Server), four installation methods, and a macOS app development case study showing how plugins boost AI coding efficiency.
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Tutorials·2 min
Coze Platform AI Agent Development Tutorial: 15 Hands-On Projects for Beginners
A beginner's guide to AI Agent development on ByteDance's Coze platform — 15 no-code hands-on projects covering content creation, education, design, and more.
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Product Reviews·2 min
Pyme Hands-On Review: A Visual AI Coding Tool That Makes Python Desktop Development Accessible to Everyone
Hands-on review of Pyme, a visual AI coding tool covering drag-and-drop UI design, AI code generation, and one-click EXE packaging for Python desktop apps.
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Product Reviews·2 min
Alibaba Miaowu Hands-On Review: Can This Chinese Alternative to Lovable Actually Deliver on AI Full-Stack Development?
In-depth hands-on review of Alibaba's Miaowu AI full-stack development tool, testing its multi-agent parallel coding, one-click deployment, and cloud database capabilities against Lovable.
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