#reading code vs writing code
417 related articles
·2 min
Getting Started with Vibe Coding: Build Apps Without Writing Code
Vibe Coding lets anyone build apps using natural language — no coding required. Learn what it is, which tools to use, and see real stories of non-programmers shipping products.
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Why Cursor Should Be Split Into Two Se…
·2 min
Why Cursor Should Be Split Into Two Separate Apps: Editor and Agent
Why developers want Cursor split into Editor and Agent apps — an analysis of the core tension, the value of separation, and where AI coding tools are headed.
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·3 min
Dify + MCP in Practice: Building a Multi-Scene Life Assistant Agent with ModelScope MCP Marketplace
Build a multi-scene life assistant Agent using ModelScope MCP Marketplace and Dify. Integrates Amap, LeetCode, recipe, and news MCP Servers with Qwen3 via Chatflow.
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Juggler: An Open-Source GUI Coding Age…
·2 min
Juggler: An Open-Source GUI Coding Agent Built by the Creator of JUCE
Juggler is an open-source GUI coding agent built by the creator of JUCE. It offers a graphical interface for managing AI coding workflows with transparency and full customization.
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PlanWright: A Control Plane and Multi-…
·2 min
PlanWright: A Control Plane and Multi-Agent Orchestration Layer for AI Coding Agents
PlanWright is a control plane for AI coding agents, drawing on Kubernetes orchestration principles to tackle multi-agent task assignment, state tracking, and collaboration conflicts.
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·2 min
Getting Started with Claude Code: How AI Coding Assistants Went from Chatting to Actually Getting Things Done
What is Claude Code? This guide covers 5 core differences from ordinary AI chat tools, including context reading, code execution, MCP tool calls, and a Cursor comparison.
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·4 min
From Tokens to Agents: A Complete Guide to Core AI Concepts
Master 8 core AI concepts — LLM, Token, Context Window, Prompt, Tool, Agent, MCP, and Agent Skill — and understand the complete logic chain behind AI's evolution.
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·4 min
Running Qwen3.6 27B Locally on a Single RTX 3090: A Complete Guide to Cloud-Rivaling Performance
One used RTX 3090, one 16.8GB GGUF file, and Qwen3.6 27B runs locally offline. SWE-bench score of 77 rivals Claude Sonnet. MTP boosts speed to 59 tok/s. Full local AI coding assistant deployment guide.
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·4 min
LangChain in Practice: Mastering the Four Core Modules of the Agent Ecosystem
A deep dive into LangChain's four core modules: LangChain components, LangGraph orchestration, Deep Agents, and LangSmith. Build your first Agent from scratch.
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·2 min
GPT Live Launches: Voice Is Becoming the New Gateway to AI Interaction
OpenAI launches GPT Live voice model powering ChatGPT Voice. A deep dive into the core challenges of voice AI — latency, interruptions, and context — and the shift from typing to real-time voice.
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·3 min
Vibe Coding in Practice: A Comprehensive Review and Selection Guide for 6 AI Coding Tools
In-depth comparison of 6 Vibe Coding tools — Claude Code, Trae, Zhipu, Cursor, and more — covering setup cost, Chinese support, pricing, and code quality.
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Deep Dives
Deep Dive into OpenAI's Official GPT-5…
·3 min
Deep Dive into OpenAI's Official GPT-5.6 Prompting Guide: The Shift from Manual to Automatic
A deep dive into OpenAI's official GPT-5.6 Sol prompting guide: conciseness-first, outcome-oriented design, autonomy boundaries, tool routing, and reasoning intensity tuning.
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·3 min
Codex Merges into ChatGPT: GPT-5.6's Three Tiers Explained — Sol, Terra, and Luna
Codex merges into ChatGPT with a new Work Mode. GPT-5.6 splits into Sol (flagship), Terra (balanced), and Luna (lightweight). Full breakdown of capabilities, costs, and how to choose.
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Jacquard: A Programming Language Desig…
·2 min
Jacquard: A Programming Language Designed for AI to Write and Humans to Review
Jacquard is an experimental programming language built for the "AI writes, human reviews" paradigm, making reviewability a first-class design principle for the AI coding era.
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·3 min
Programmer to AI Engineer: You're Already 80% There — Here Are the 6 Skills You're Missing
Programmers transitioning to AI engineering aren't starting from scratch. Learn the 6 core skills — LLM APIs, RAG, prompt engineering, LLMOps — needed to make the leap.
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·3 min
The Complete Guide to Agent Skills: Principles, Structure, and Real-World Examples
A deep dive into Agent Skills: SKILL.md structure, four core elements (workflow/docs/tools/assets), real-world case studies, and how Skills differ from prompts.
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·2 min
Claude Code Installation Guide for China: Complete Setup from Scratch
Complete guide to installing Claude Code in China: platform steps for Windows/macOS, VPN requirements, Git dependency, error fixes, and how it differs from Cursor and VS Code.
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·3 min
How to Systematically Learn Machine Learning After Mastering Math and Python
Already know math and Python? Learn the complete machine learning roadmap: from data science tools and classical algorithms to deep learning frameworks and specialization.
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·2 min
GPT-5.6 Sol XHigh Real-World Test: The Coding Capability That Changed a Claude User's Mind
A long-time Claude user was genuinely impressed by GPT-5.6 Sol XHigh. We break down the model's coding performance, shifting AI assistant competition, and how to rationally choose the right coding AI.
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·3 min
Local Gemma 3 12B as an AI Agent: A Practical Guide to Tool Calling and Framework Selection
Running Gemma 3 12B locally via Ollama and want to build an AI Agent? This guide covers tool calling, n8n/LangChain/CrewAI comparisons, context limits, and more.
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