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274 related articles
·2 min
How a Single RL Policy Spontaneously Produces Adversarial Soccer Behavior
A single RL soccer policy trained alone with PPO spontaneously produces ball contention, shooting, and defensive behaviors in multi-agent competition—exploring emergent behavior principles.
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·3 min
When AI Handles the Details, Are We Truly Empowered?
When AI handles the details for us, do we gain empowerment or lose capability? This article explores the hidden costs of outsourcing details to AI and how to use AI tools rationally.
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·3 min
Herder: The Open-Source Terminal Tool for Unified Management of Multiple AI Coding Agents
Herder is an open-source terminal multiplexer for macOS and Windows that unifies management of Claude Code, Codex, OpenCode, and other AI coding agents—with persistence and remote reconnection.
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·3 min
Rust and Mojo Are Quietly Replacing Python's Low-Level Engine
Python tops the language rankings again, but AI teams are quietly swapping its internals for Rust and Mojo. A look at Python's speed and GIL pains, the two-language problem, and the rise of Rust tooling and Mojo on GPUs.
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·4 min
Claude Code from Scratch: A Complete Guide from Installation to Enterprise-Grade Development
A complete guide to Claude Code from beginner to enterprise practice: covering CLI installation, connecting domestic LLMs via CC Switch, basic commands, Git workflow integration, automated bug fixing, and engineering capabilities like MCP and SubAgents.
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·3 min
The Vibe Coding Trap: You're Just Producing Garbage Faster
Vibe Coding lets non-coders build apps and websites fast with AI, but efficiency gains don't equal value gains. This article dissects the core trap and offers the right order: needs first, code later.
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·3 min
The Trap of Vibe Coding: You're Just Making Garbage Faster
Vibe Coding lets non-coders build apps and sites fast with AI, but faster isn't better. This piece dissects its core trap—building isn't succeeding—and offers the right "demand first, code later" order plus three questions to gauge a project's value.
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·3 min
In-Depth Analysis of Three AI Test Automation Approaches: Code Scripting, DOM Parsing, and Visual Models
A systematic breakdown of the three mainstream test automation approaches in the AI era: AI-generated code scripts, DOM parsing driven, and LVM visual model driven. In-depth comparison of principles, pros/cons, and use cases.
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·2 min
Why Does GPT-5.6 Perform Better in Claude Code Than in Codex? A Deep Dive
Tech blogger Theo found GPT-5.6 runs better in Claude Code than in OpenAI's own Codex. A deep dive into their differences in system prompt quality and subagent orchestration.
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·2 min
Three Chinese LLMs Launch in Parallel: Qwen, DeepSeek V4, and GLM Next-Gen Models Arriving Soon
Alibaba's next-gen Qwen, DeepSeek V4 GA, and Zhipu's new GLM are all nearing release. Explore the latest progress, hands-on results, and distillation controversy of China's top LLMs.
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·1 min
Becoming an AI Agent Engineer: A Detailed 4-Week Hands-On Learning Roadmap
Want to become an AI Agent engineer? This article breaks down a 4-week roadmap: from core agent architecture and ReAct, to multi-agent collaboration and real projects.
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·2 min
Becoming a Computer Whiz: The Three-Stage Training Method from Beginner to Breakthrough
Why do some still feel lost after 4 years of coding? Break down the three-stage computer learning method: build fundamentals, pick a direction, learn by doing.
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·2 min
Vibe Coding Beginner's Guide: The Right Way to Code with AI from Scratch
Vibe Coding is a new AI-era programming paradigm — just express your intent and let AI write the code. Learn what it is, why it matters, and how to get started from scratch.
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·4 min
Office CLI: The Open-Source Tool That Lets AI Agents Generate and Deliver Office Files
Office CLI is an open-source GitHub Trending tool that lets AI Agents create Word, Excel, and PowerPoint files directly — with preview rendering and auto-checks, no Microsoft Office required.
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·8 min
A Complete Guide to Agent Testing: Five Core Dimensions and Automation in Practice
In-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing and the transition path for test engineers.
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·8 min
The Complete Guide to Agent Testing: Five Core Dimensions and Automation in Practice
An in-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing methods and the transition path for test engineers.
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GitHub Daily · July 24: Agentic Tools …
·3 min
GitHub Daily · July 24: Agentic Tools Blossom Everywhere, from CMS to Databases Embracing AI
GitHub Trending July 24: Agentic capabilities go from concept to standard feature. Instatic and Chat2DB deeply integrate AI into CMS and database clients, while dive-into-llms remains the go-to Chinese LLM tutorial.
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GitHub Daily · July 24: Agentic Tools …
·3 min
GitHub Daily · July 24: Agentic Tools Blossom Everywhere, From CMS to Databases Embracing AI
GitHub Trending July 24: Agentic capabilities go from concept to standard, with Instatic and Chat2DB embedding AI deeply into CMS and database clients.
Read more →
·5 min
From Vibe Coding to AI Engineering: A Complete Guide to Enterprise-Grade Development
In the AI programming era, Vibe Coding alone can only build toys. This article deeply analyzes the complete engineering path from Vibe Coding to SDD spec-driven development, covering Claude Code and Codex tool selection, the SuperPower plugin, and domestic LLM comparisons.
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·3 min
From Word Vectors to Large Language Models: The Complete Evolution of AI 2.0 Technology
From word vectors and embeddings to RNNs, BERT, Transformers, and ChatGPT — a complete guide to the technical evolution of large language models and the AI 2.0 era.
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