#Karpathy coding rules
107 related articles
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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·2 min
How Open Source Communities Combat AI Project Flooding: The Megathread Mechanism Explained
Facing the rapid influx of AI-generated projects, Reddit's selfhosted community introduces a Megathread mechanism with standardized templates and AI transparency disclosure to maintain signal-to-noise ratio.
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·4 min
Complete Guide to Pi Coding Agent: Core Usage and Extension Techniques for a Minimalist Terminal AI Coding Tool
Complete guide to Pi coding agent: design philosophy, installation, shortcuts, session management, and 7-layer customization architecture. How this 45K-star minimalist terminal tool redefines AI coding workflows.
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·3 min
The Software 3.0 Era: An AI Programming Evolution Guide for Frontend Engineers
Natural language programming is reshaping frontend development. This article explains AI code generation, Prompt formulas, pitfall avoidance, RAG, Agent orchestration, and skill maintenance.
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·4 min
Vibe Coding in Practice: AI-Assisted Refactoring of a Unity Game's SO Architecture
Learn how to use Vibe Coding to collaborate with AI in refactoring a Unity game, introducing ScriptableObject (SO) data architecture, with hands-on tips.
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·3 min
Vibe Coding at Big Tech: Frontend Practices and an AI Programming Interview Guide
An in-depth look at Vibe Coding (AI-assisted programming) at major tech companies. With three real AI coding interview questions from firms like ByteDance, we analyze how frontend developers can master AI programming and rebuild core competitiveness.
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·4 min
Vibe Coding in Practice: Refactoring a Unity Game's SO Architecture with AI
A deep dive into refactoring a Unity game with Vibe Coding and AI, introducing ScriptableObject (SO) architecture—covering visual map editors, Codex remote control, and collaboration pitfalls.
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·3 min
The AI Coding Landscape: Model Tiers, Tool Camps, and a Deep Dive into MCP/Skills/CLI
A systematic map of today's AI coding landscape: the evolution from ChatGPT to Claude Code, LLM capability tiers, tool camps like Cursor/Copilot, and the three key weapons of the Agent era — MCP, Skills, and CLI.
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·4 min
Vibe Coding vs. AI-Assisted Engineering: An In-Depth Look at Enterprise-Level Development
Can AI coding tools let non-developers replace programmers? This deep dive examines Vibe Coding's real limits, compares Claude Code vs. Codex, and reveals the methodology behind enterprise-grade AI-assisted software engineering.
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·4 min
Teaching AI to Have "Taste": Exploring Multi-Agent Design with Open-Source Skill Taste
Why does AI-generated UI all look the same? Designer SEN open-sourced a Skill called Taste that uses a four-agent pipeline to reverse-engineer website "taste" into verifiable design principles called Taste DNA.
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·3 min
Vibe Coding in Practice: Building Your Core Competitive Edge with AI-Assisted Development
Vibe Coding is a new AI-era programming paradigm focused on logic over syntax. Use Claude Code, Cursor, and LangChain to ship products solo and 10x your productivity.
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·4 min
Vibe Coding for Beginners: 4 Pitfalls Every Non-Coder Must Avoid
New to Vibe Coding? Avoid these 4 beginner traps: unclear AI boundaries, oversized goals, wrong role mindset, and C drive overflow. Real tips for non-coders.
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·2 min
Vibe Coding vs AI Engineering: A Practical Enterprise-Level Comparison Guide
A deep dive comparing Vibe Coding vs AI Engineering, with hands-on analysis of Claude Code and Codex, two real projects, and the role of Skills in enterprise AI development.
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·2 min
Vibe Coding for Beginners: Build Real Apps with AI — No Coding Skills Required
Vibe Coding lets you build real apps using natural language — no coding skills needed. Learn the 3 core traits, see real success stories, and get started today.
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·3 min
Zero-Code Xianxia Game Development: A Head-to-Head Comparison of Four Major AI Models
A Bilibili creator built a 2D xianxia game using zero code via Vibe Coding, testing GPT, Claude, Grok, and Doubao with the same 3,000-line prompt. Full workflow breakdown and rankings inside.
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·3 min
ByteDance Interviewer Deep Dive: How Vibe Coding Is Reshaping Frontend Engineers' Core Competitiveness
A ByteDance interviewer breaks down the 3-layer Vibe Coding interview framework: AI tool awareness, complex product engineering, and a 1-hour full-stack challenge. Architectural thinking wins.
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·3 min
Vibe Coding: Enterprise-Level Practices and a Skill Progression Guide for AI-Driven Frontend Development
A deep dive into Vibe Coding: how AI-led development workflows are reshaping frontend engineers' value. From interview hot topics to a three-tier competency model for the AI era.
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·3 min
One-Prompt Apps: Demos Are Easy, Shipping Is the Real Test
Is one-prompt app generation really that powerful? We break down three tiers of AI dev tools, expose the gap between demo and production, and compare top domestic platforms including Baidu Miaoda and Ant Lingguan.
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·3 min
OpenAI Merges ChatGPT and Codex: The Birth of an AI OS and Four Core Strategies
OpenAI merges ChatGPT and Codex into a Super App, unveiling the early blueprint of an AI OS. A deep-dive into four core strategies: Loop workflows, tool stack economy, multi-threading, and Sites.
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·3 min
AI Code Getting Worse with Every Fix? A Three-Layer Closed-Loop Engineering Methodology to Break the Cycle
AI code spiraling out of control? This article breaks down a three-layer engineering system — Prompt rules, Skill workflows, and Harness feedback loops — with real-world results showing pass rates rising from 70% to 98%.
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