#LLM thought visualization
112 related articles
·2 min
OpenCode In-Depth Review: Hands-On with a Free Open-Source AI Coding Assistant
In-depth review of OpenCode, an open-source AI coding assistant. Covers its three-layer architecture, setup, building a to-do app, and model comparisons with DeepSeek Flash and more.
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·2 min
Hands-On Tutorial: Build an AI Agent from Scratch with 200 Lines of Python
Build an AI Agent from scratch with 200 lines of Python, covering prompts, memory, tool calling, RAG, and Skills — a practical guide for developers.
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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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·3 min
AI Large Language Model Learning Roadmap for Beginners: A Complete Plan from Basics to Hands-On Practice
A systematic AI LLM learning roadmap for beginners covering prompt engineering, RAG, LangChain, Agents, and more — with timelines and project suggestions.
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·4 min
AI Engineer Job Search: The Capability Leap from Demo to Production System
AI job demand is surging but companies can't find qualified candidates. Learn the 3 core skills—advanced RAG, local model deployment, and full-stack monitoring—to leap from demo builder to production engineer.
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·3 min
AI-Driven Zero-Code Automated Testing: A Complete Path from Python Basics to Hands-On Practice
A detailed guide to AI-driven automated testing: from Python basics to PyTest, covering API automation, Playwright UI testing, and AI-assisted coding for beginners.
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·3 min
AI Agent Tutorial Collection: Complete Coverage of Multi-Agent, Memory, and Reasoning
Open-source AI Agent tutorial project with 2600+ GitHub Stars covering multi-agent systems, memory, planning, and reasoning loops via Jupyter Notebooks for hands-on learning.
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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
Claude AI Tips: 16 Practical Methods from Beginner to Advanced
A systematic guide to 16 core Claude AI tips covering basic setup, connectors, Artifacts app development, voice mode, automation, and Claude Code programming to unlock Claude's full productivity potential.
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·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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·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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Tutorials·2 min
A Guide to UI Animation: Practical Methods for AI Agent & SaaS Product Promotion
A detailed guide on UI animation for AI Agent, SaaS, and APP promotion — covering tools, design workflows, and key techniques for professional product demos.
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Tutorials·3 min
How Ordinary People Can Build Products with AI Programming
AI programming tools let anyone build products, but zero-experience users still struggle. Learn why Python basics and key strategies help you direct AI effectively.
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Tutorials·3 min
From Claude Code to Codex: A Practical Guide to Diversifying Your AI Coding Tools
Learn how to integrate OpenAI Codex into your dev workflow alongside Claude Code. Covers pricing comparison, desktop setup, one-click migration, context management differences, and unique visualization features.
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Tutorials·3 min
Claude Code + Databricks Hands-On Tutorial: Natural Language-Driven Enterprise Data Analysis
A complete hands-on guide to connecting Claude Code with Databricks for natural language data queries, automated table creation, and Notebook generation.
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Tutorials·3 min
Building an Automated Workflow SaaS Platform from Scratch: A Complete Guide from Full-Stack Development to Commercialization
A detailed guide on building a commercializable automation workflow SaaS platform from scratch, covering React Flow canvas, Next.js full-stack architecture, Inngest task engine, payment subscriptions, and AI monitoring.
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Product Reviews·3 min
Make AI Tools in 3 Minutes and Sell Them Online — Is This Side Hustle Model Actually Viable?
Deep analysis of using AI platforms like LinkCloud Crow to quickly generate and sell tools — from demand discovery and tool creation to revenue models and risk assessment.
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Tutorials·3 min
Hermes Agent Framework Practical Guide: Building AI Agents from Scratch
A detailed guide on ByteDance's Hermes Agent framework covering core features, deployment, custom tool development, and enterprise-grade AI Agent applications.
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Product Reviews·3 min
Hertzman: A Free, No-Install Local LLM Deployment Tool Review
Detailed review of Hertzman local inference engine covering one-click deployment, smart hardware recommendations, OpenAI-compatible API, and performance comparison with LM Studio.
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Tutorials·3 min
Review of a 648-Episode Complete Python Tutorial: Is It Worth Learning from Zero to AI Applications?
In-depth review of a 648-episode Python tutorial on Bilibili, analyzing its three-stage course structure, resource quality, and learning effectiveness with practical study tips for beginners.
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