#best practices

277 related articles

2026年6月13日·2 min

A Complete Guide to LLM Infrastructure: Core Challenges from GPU Clusters to Inference Optimization

A deep dive into core challenges and key technologies for LLM infrastructure, covering GPU cluster management, inference optimization, distributed training, cost control, and observability.

2026年6月13日·3 min

Hands-On with Tencent Cloud ADP 4.0: How an Enterprise-Grade Agent Development Platform Tackles the Agent Commercialization Challenge

Hands-on review of Tencent Cloud ADP 4.0: testing its full-lifecycle Agent management — from rapid creation and enterprise integration to automated evaluation and Skill governance for real-world deployment.

2026年6月13日·4 min

Fable 5 vs Opus 4.8 Real-World Showdown: Three Projects to Determine the AI Coding Champion

Real-world comparison of Fable 5 vs Opus 4.8 across three demanding projects: e-commerce site, 3D art museum, and an RTS game. Analyzing code quality, 3D rendering, and design aesthetics.

2026年6月13日·3 min

Vibe Coding Tutorial for Beginners: Three Steps from Idea to Product Launch

A complete Vibe Coding guide: use natural language to drive AI for product development — from ideation and PRD generation to UI design and code implementation. Build launchable products with zero coding skills.

2026年6月13日·3 min

The Complete Guide to Codex Superpowers: 14 Skills That Make AI Follow Industrial-Grade Development Workflows

A complete guide to Codex Superpowers: 14 composable skills covering brainstorming, planning, TDD, and code review, with a real-world WeChat Mini Program case study.

2026年6月13日·2 min

The Complete Guide to GitHub README Badges: Types, How to Add Them, and Best Practices

A detailed guide to GitHub README badge types, how to add them, and best practices. Covers Shields.io, CI/CD status badges, code quality badges, and more.

2026年6月13日·2 min

AI Agent Development Learning Path: A Practical Guide from Zero to Commercial Deployment

A complete AI Agent development learning path covering theory, frameworks, tool integration, and commercial deployment with real enterprise use cases.

2026年6月13日·4 min

Complete AI Large Language Model Learning Roadmap: From Beginner to Production-Ready

A systematic guide to learning AI large language models, covering Transformer architecture, prompt engineering, RAG, AI Agents, fine-tuning, and enterprise projects from beginner to production-ready.

2026年6月13日·3 min

LangChain Beginner's Guide: From Environment Setup to RAG — A Complete Hands-On Walkthrough

A systematic guide to LangChain covering environment setup, model invocation, Prompt Templates, Output Parsers, LCEL chain expressions, and hands-on RAG implementation for beginners.

2026年6月13日·2 min

Andrew Ng on AI Agent Development: Evaluation and Error Analysis Are the Core Competitive Advantage

Andrew Ng argues that the core gap in AI Agent development isn't model selection — it's systematic evals and error analysis. A breakdown of his methodology.

2026年6月13日·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.

2026年6月13日·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.

2026年6月13日·2 min

Claude Fable 5 Coding Stress Test: Three Hardcore Tasks, All Passed — Plus a Hybrid Cost-Saving Strategy

Hands-on test of Claude Fable 5 on 3D world generation, real repo bug fixing, and physics coupling simulation — all passed first try. Plus a hybrid cost-saving strategy with DeepSeek.

2026年6月12日·3 min

AI-Driven Zero-Code Automated Testing: A Complete Path from Python Basics to Hands-On Practice

A detailed guide to AI-driven automated testing: from Python basics to PyTest, covering API automation, Playwright UI testing, and AI-assisted coding for beginners.

2026年6月12日·3 min

AI Agent Learning Roadmap: A Four-Stage Plan from Zero to Hands-On

A systematic four-stage AI Agent learning roadmap covering LLM API calls, ReAct paradigm, memory mechanisms, and multi-agent collaboration for beginners.

2026年6月12日·3 min

Getting Started with ChatGPT Codex and Claude Code: A Hands-On AI Programming Tutorial for Beginners

A detailed guide comparing ChatGPT Codex and Claude Code — covering core differences, selection criteria, and setup for beginners to start AI agent programming and boost dev efficiency 2-5x.

2026年6月12日·2 min

Vercel v0 Football App Challenge Explained: Rules, How to Participate, and Creative Directions

Vercel launches a v0 football app challenge with $1,000 in credits. Learn the rules, how to participate, v0's capabilities, and creative directions for developers.

2026年6月12日·3 min

AI Agent Tutorial Collection: Complete Coverage of Multi-Agent, Memory, and Reasoning

Open-source AI Agent tutorial project with 2600+ GitHub Stars covering multi-agent systems, memory, planning, and reasoning loops via Jupyter Notebooks for hands-on learning.

2026年6月12日·2 min

Trae IDE Custom Model Integration Tutorial: Complete Guide to Configuring Third-Party APIs

Learn how to integrate custom models in Trae IDE, including step-by-step configuration for third-party APIs like OpenRouter and DeepSeek to overcome built-in model limitations.

2026年6月12日·3 min

Harness AI Engineering Programming: A Detailed Methodology for Enterprise-Level Project Development

Deep dive into Harness AI Engineering Programming methodology, covering SDD, Skill development patterns, and core practices for enterprise-level AI-assisted development.