#state management
125 related articles
·3 min
Enterprise-Level AI Project Rules Files: 5 Hard Rules + 6 Writing Techniques
AI keeps messing up your code? Learn 5 hard rules and 6 writing techniques for enterprise-level Rules files in Claude Code, Cursor & more, with templates.
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·4 min
Superpowers: Installing Work Standards for Your AI Coding Assistant
How the Superpowers methodology constrains AI coding assistants through requirement clarification, task decomposition, TDD, and verification loops — with setup tips for Trae.
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·4 min
ChatGPT vs Gemini vs Claude: Testing Three AI Models Recreating Classic Roblox Games from Scratch
We tested ChatGPT, Gemini, and Claude recreating Murder Mystery 2, Natural Disaster Survival, and MeepCity — comparing visual fidelity, feature completeness, and debugging difficulty in AI game dev.
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·2 min
Remotion: The Open-Source Framework for Code-Driven Video Production with React
Deep dive into Remotion, the open-source framework for writing videos with React components. Covers core principles, use cases, comparison with traditional editors, and quick start guide.
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·2 min
Deep Agents: Key Topics from the LangChain Chicago Meetup Explained
LangChain's Chicago Meetup spotlights Deep Agents — exploring the evolution from simple Agents to multi-layered reasoning and long-chain task execution.
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·1 min
Claude Fable 5 as a Computer Use Orchestrator Model: Excelling in Long-Running Agent Workflows
Anthropic launches Claude Fable 5 as a Computer Use orchestrator model for Pro and Max users, excelling in long-running agent workflows for automation tasks.
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·3 min
Kunpeng AI Agent Architecture: Why General-Purpose Computing Matters as Much as AI Computing
Deep dive into Huawei Kunpeng's AI Agent solution — why general-purpose computing matters as much as AI computing for agent architecture, from memory systems to tool calling and secure runtimes.
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·2 min
Claude Proactively Discovers Bugs in an Open-Source Library: AI Evolves from Coding Assistant to Collaborator
Simon Willison releases asyncinject 0.7, fixing bugs proactively discovered by Claude. This case shows AI evolving from passive coding assistant to active code reviewer and collaborator.
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·3 min
Getting Started with AI Agent Development: A Detailed Three-Stage Learning Roadmap
A complete roadmap for learning AI Agent development from scratch, covering Python & LLM basics, five core skills, and hands-on RAG projects in 1-2 months.
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·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.
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·4 min
Learning Path for AI Agent Development: A Complete Guide from Core Architecture to Production Deployment
A complete learning path for AI Agent development covering core architecture, ReAct paradigm, multi-agent collaboration, RAG integration, and lightweight deployment to guide developers from basics to production.
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·4 min
The Complete AI Agent Engineering Tech Stack: A Practical Guide to 100x Development Efficiency
Deep dive into the AI agent engineering stack: from Cursor framework, model selection to context engineering and automated review loops — a complete workflow guide to achieving 100x development efficiency.
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·4 min
A Beginner's Guide to Deep Agents: The Complete Evolution from Basic Agents to Deep Agents
A systematic guide covering the evolution from traditional AI agents to Deep Agents, including core architectures, four development stages, technical features, and practical developer guidance.
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From Prompt Engineer to Loop Architect…
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From Prompt Engineer to Loop Architect: The Paradigm Shift in AI Programming
Explore the paradigm shift from prompt engineering to loop architecture in AI programming. Learn about Anthropic's Routines, the six elements of mature coding loops, and token cost strategies.
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·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.
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·3 min
Free Claude Code and Codex for Chinese Developers: CC Switch Configuration Guide
Learn how to use the open-source tool CC Switch to connect Claude Code and OpenAI Codex with domestic Chinese LLM APIs like DeepSeek, enabling free access to top AI coding tools.
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·3 min
Hermes Agent Deep Dive: A Self-Evolving Agent Architecture with Practical Implementation Guide
Deep dive into Hermes Agent's core architecture: four-layer memory system, Skill self-evolution mechanism, Harness Engineering methodology, OpenCloud comparison, and Feishu integration tutorial.
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·3 min
Nexent Open-Source Platform: Zero-Code Auto-Generation of Production-Grade AI Agents
Deep dive into Nexent's open-source platform for zero-code production-grade AI Agent generation, covering Harness Engineering, built-in controls, use cases, and comparisons with AutoGen and CrewAI.
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Loop Engineering: The Paradigm Shift f…
·3 min
Loop Engineering: The Paradigm Shift from Prompt Engineering to Automated Programming Agents
Deep dive into Loop Engineering's five core components including worktree isolation, skill files, and sub-agent separation. Explore why loop design is harder than prompt engineering.
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·3 min
Deep Dive into Claude Cloud Agent Memory System Architecture: CMA Design Philosophy and Technical Choices
Deep analysis of Anthropic's Cloud Managed Agents memory architecture, covering file-first strategy, memory store reuse, Dreaming async consolidation, and key differences from Claude Code's memory system.
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