#chain-of-thought
161 related articles
·3 min
AI Agent Development Tutorial: A Practical Guide from Zero to One-Person Company
A systematic guide to AI Agent development covering the three-stage learning path, core tech stack including LLM, RAG, and LangChain, plus how to build a one-person company through automated Agent workflows.
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·3 min
GPT-5.2 Codex vs Opus 4.5 Hands-On: A Comprehensive Comparison of Coding Ability, Speed, and Developer Experience
Hands-on comparison of GPT-5.2 Codex vs Opus 4.5 across frontend generation, physics simulation, 3D scenes, and code refactoring, with practical selection advice.
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·4 min
Agent Development Learning Roadmap: A Four-Stage Systematic Guide from Beginner to Practitioner
A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.
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·4 min
The 8 Core Modules of Prompt Engineering: A Complete Guide from Fundamentals to Advanced Techniques
A systematic breakdown of the 8 core modules of prompt engineering, covering fundamentals, CoT, Few-shot, prompt security, and real-world AI applications.
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·3 min
Monetizing Claude Code: 4 Proven Revenue Paths Broken Down
Deep breakdown of 4 monetization paths for Claude Code: AI-accelerated freelancing, shipping tools at scale, selling methodology, and content creation. Each path is validated with real examples.
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·3 min
Andrew Ng's AI Prompting Guide: Four Key Gaps Between Beginners and Experts
Andrew Ng's AI prompting methodology reveals four core gaps between beginners and experts: deep thinking, sufficient context, neutral questioning, and iterative writing. Applicable to ChatGPT, Claude, Gemini, and all major AI tools.
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·3 min
OpenAI Codex App In-Depth Review: Streets Parallel Development and Five Core Features Explained
In-depth review of OpenAI Codex App's five core features: Streets parallel development, deep Git integration, Skills system, Automation tasks, and MCP support.
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·3 min
Hands-On Testing of DS4 Engine by Redis Creator: How Does DeepSeek V4 Perform Locally on a 128GB Mac?
Redis creator Antirez's DS4 inference engine tested: running DeepSeek V4 Flash locally on a 128GB Mac via asymmetric structure-aware quantization, with real-world coding benchmarks.
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·3 min
The Complete Guide to Claude Code: Five Stages of AI Programming Tools & Practical Applications
A deep dive into Claude Code's positioning and use cases, covering the five evolutionary stages of AI programming tools from traditional coding to autonomous agents.
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Connect Claude Code to DeepSeek V4: 3-…
·2 min
Connect Claude Code to DeepSeek V4: 3-Step Setup in 60 Seconds
Learn how to connect Claude Code to DeepSeek V4 using CC Switch in 60 seconds. Complete guide covering installation, API Key setup, and model switching for lower-cost AI coding.
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Trae Agent Deep Dive: Hands-On Review …
·3 min
Trae Agent Deep Dive: Hands-On Review of ByteDance's Open-Source AI Coding CLI Tool
Deep dive into ByteDance's open-source Trae Agent—a free MIT-licensed AI coding CLI tool. Covers installation, core features, run modes, and real-world performance vs Claude Code and Gemini CLI.
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Getting Started with Claude Code: Setu…
·3 min
Getting Started with Claude Code: Setup, Configuration & AI-Driven Testing in Practice
A practical guide to Claude Code: core concepts, setup tips, and how to pair it with DeepSeek for AI-driven software testing workflows.
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Claude Code vs ByteDance Codex: A Guid…
·2 min
Claude Code vs ByteDance Codex: A Guide to Chinese Learning Resources and Choosing the Right Tool
Compare Claude Code and ByteDance Codex: their positioning, core capabilities, and use cases. Includes Chinese learning resource recommendations and beginner path selection guide for AI programming.
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DeepSeek-TUI: Five Core Capabilities o…
·3 min
DeepSeek-TUI: Five Core Capabilities of a Terminal AI Coding Agent Explained
Deep dive into DeepSeek-TUI's five core capabilities: TUI interface, reasoning display, auto model selection, million-token context, and session rollback. Compare with Claude Code and Codex.
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AI Large Language Model Learning Roadm…
·4 min
AI Large Language Model Learning Roadmap: A Complete Guide from Zero to Project Implementation
A systematic AI LLM learning roadmap covering prompt engineering, RAG, AI Agent development, and fine-tuning — with beginner-friendly paths and practical tips.
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LangGraph Core Explained: Its Relation…
·3 min
LangGraph Core Explained: Its Relationship with LangChain and Multi-Agent Orchestration Principles
Deep dive into LangGraph's core positioning, its relationship with LangChain, practical code comparisons of Chain vs Graph, understanding Agent essentials, and multi-agent orchestration design.
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AI Agent Development Learning Roadmap:…
·4 min
AI Agent Development Learning Roadmap: A Complete Four-Stage Plan from Zero to Production
A systematic AI Agent development learning roadmap covering LLM API calls, ReAct framework, memory mechanisms, and multi-agent collaboration across four stages with timeline and project suggestions.
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AI Agent Development Learning Roadmap:…
·3 min
AI Agent Development Learning Roadmap: A Complete Four-Stage Guide from Beginner to Practitioner
A systematic AI Agent development learning roadmap covering core concepts, ReAct/CoT paradigms, multi-agent collaboration, and hands-on projects across four stages.
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Learning AI Agent Development from Scr…
·3 min
Learning AI Agent Development from Scratch: A Beginner's Path and Monetization Guide
A comprehensive guide to AI Agent development for beginners, covering low-code platforms, LangChain framework, and monetization strategies for building and deploying intelligent agents.
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LangChain from Beginner to Agent Devel…
·3 min
LangChain from Beginner to Agent Development: A Complete Learning Path for LLM Application Development
A systematic guide to LangChain LLM application development, covering environment setup, core components (RAG, Chain, Memory), and Agent development to help developers master LLM app building.
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