#AI Rules
2266 related articles
Tutorials·3 min
Claude Code Hooks Explained: A Safety Net for When Rules Fail
Deep dive into Claude Code Hooks: why CLAUDE.md rules fail and how PreCommand, PostCommand, and Stop Hooks provide a reliable safety net through on-demand context injection.
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Tutorials·3 min
The Complete Guide to Claude Skills: Write Rules Once, Apply Forever — Turn AI from Generalist to Specialist
Deep dive into Claude Skills: core concepts, file structure & practical examples. Master skill.md writing, four design patterns, and best practices for reusable AI workflows.
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Tutorials·3 min
The Complete Guide to Claude Skills: Write Rules Once, Apply Forever — Turn AI from Generalist to Specialist
Deep dive into Claude Skills: core concepts, file structure, and practical examples. Master skill.md writing, four design patterns, and best practices for reusable AI workflows.
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Deep Dives·2 min
A Deep Dive into Karpathy's AI Coding Rules: Why a 65-Line Markdown File Earned 16k Stars
Deep dive into Karpathy's four AI coding rules: Think First, Keep It Simple, Surgical Changes, Goal-Driven. A 65-line Markdown file earned 16k GitHub Stars by solving AI coding's biggest pain points.
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Tutorials·3 min
Cursor AI Beginner Tutorial: Rules Configuration & Agent Mode Practical Guide
Complete guide to Cursor AI installation, rules file configuration, and Agent mode in action. Master project-level and global rules setup to drive AI programming with natural language and boost coding efficiency.
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Industry Insights·2 min
The Real State of AI Startups: Survival Rules as Technical Moats Dissolve
Deep analysis of the core challenges facing AI entrepreneurs in 2025: dissolving technical moats, cost dilemmas, and inflating user expectations, plus survival strategies for AI startups.
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Tutorials·2 min
Harness AI Engineering Programming: A Practical Guide to the Rules + Skills + Wiki + Changes Four-Layer System
Deep dive into Harness AI Engineering Programming: a Rules + Skills + Wiki + Changes four-layer system with Claude Code for automated, controllable enterprise development.
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Tutorials·2 min
AI Programming Post-Mortem: 6 Engineering Rules That Determine Project Success or Failure
Post-mortem from a real Android project built with AI tools, distilling 6 engineering rules—from cross-project context to local environment loops and API contracts—that determine AI programming success.
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Tech Frontiers·2 min
CLAUDE.md Tops GitHub Trending: 4 Rules to Tame Your AI Coding Assistant
CLAUDE.md hits GitHub trending with 4 core rules for taming AI coding assistants: ask when unsure, don't over-engineer, stay on task, and give goals not steps. Master the new AI collaboration methodology.
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Tutorials·2 min
CLAUDE.md Loading Mechanism Explained: Hierarchical Stacking Rules and Writing Methods
Deep dive into Claude Code's CLAUDE.md path loading logic, verifying hierarchical stacking through experiments, with three writing methods and practical tips for developers.
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Tutorials·3 min
Cursor/Windsurf Rules Configuration Guide: Generate Consistent UI Components with AI
Learn how to write Rules files in Cursor and Windsurf to generate consistent UI components with AI. Includes Apple Liquid Glass style case study, writing tips, and best practices for Angular, React, and Vue.
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Tech Frontiers·4 min
Musk vs. OpenAI Goes to Trial: How This Landmark Case Could Rewrite the Rules of the AI Industry
Musk and Altman face off in court over OpenAI's commercial transformation in 2025. Deep analysis of the case background, core disputes, and how the verdict could reshape AI governance, open-source commitments, and the industry landscape.
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·2 min
Voice AI Migration Pitfall Guide: Handoff Failures and Solutions During Parallel Operation
During enterprise voice AI migration, parallel operation periods often encounter context loss and unstable handoff routing. This article analyzes core pain points through real cases and provides practical solutions.
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·2 min
Frame Selection Is All You Need: How to Make Large Models Truly Understand Video
Exploring the critical role of frame selection in video understanding systems, analyzing three strategies—uniform sampling, content-aware sampling, and query-driven selection—and their engineering implications.
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·3 min
Migrating C/C++ Projects to Rust: A Practical Guide to Incremental Rewriting
A detailed guide on safely migrating C/C++ projects to Rust, covering incremental strategies, FFI interop, bindgen/cxx toolchain usage, and unsafe boundary management.
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·2 min
Prime Agent: A Deep Dive into the RLM-Based Self-Evolving AI Agent
Deep analysis of Prime Agent's RLM architecture, exploring how self-improving AI agents achieve continuous evolution through runtime feedback loops.
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·2 min
Firstmate: Orchestrating AI Agent Team Collaboration Through a Single Entry Point
Deep dive into Firstmate's multi-agent collaborative development model: orchestrating a specialized AI team through a single conversational entry point, covering the full pipeline from requirements to delivery.
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·3 min
AI Migrating COBOL to Java: Why It Copies the Bugs Too
AI code migration tools copy original bugs when converting legacy COBOL to Java. This article analyzes behavioral equivalence challenges, COBOL-Java semantic gaps, and human-AI collaboration best practices.
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·3 min
Musk's Prediction That AI Will Output Binary Directly: Why Source Code Won't Disappear
Musk proposes AI generating binaries directly, bypassing source code entirely. This article analyzes from four dimensions why this prediction is unlikely to materialize and why the intermediate layer will never disappear.
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·3 min
A Practical Guide to Preventing Context Loss During Cursor Development
Learn how to prevent context drift in Cursor, Claude Code, and other AI coding agents using AGENTS.md, layered rules, validation checklists, and structured workflows.
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