#Gemini CLI tutorial
159 related articles
·3 min
Building a Local AI Environment on Ubuntu with Hyper-V: The Complete 1Panel + OpenCode + Hermes Workflow
Create an Ubuntu 22.04 VM on a Windows host with Hyper-V, then deploy the 1Panel dashboard, OpenCode gateway, and Hermes agent to build a complete local AI Agent runtime. Includes port config and troubleshooting.
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·5 min
Getting Started with LangGraph: Building AI Agent Workflows with Graph Structures
Master LangGraph core concepts: nodes, edges, and routing functions. Learn StateGraph, MemorySaver, and ToolNode through a weather-query Hello World example, and understand how LangGraph relates to LangChain and powers Agent workflows.
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·6 min
The Eight-Step Method for Agent Development: A Practical Path from Pitfalls to Production
Many enterprises fail at AI Agents due to choosing the wrong tools and lacking methodology. This article outlines an eight-step Agent development method—from cognitive foundations, scenario selection, hand-writing ReAct, and structured output to Tool Use, RAG, evaluation sets, and production fallback.
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·5 min
Multi-Model Tiered Deployment: Is an AI Gateway Worth Adopting?
More teams are adopting multi-model tiered scheduling. AI gateways solve cross-vendor API management, automatic fallback, and cost tracking — but add a new abstraction layer. Learn when a gateway is worth it.
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·4 min
AI Agents Powering the Full Research Pipeline: A Practical Guide to Automation from Topic Selection to Publication
Learn how to use AI Agents to link the entire research pipeline—from literature management, data analysis, and paper writing to scientific illustration and dissemination—building a reusable research automation workflow with NotebookLM, N8N, and Ollama.
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·4 min
Four Major LangChain Updates: OpenWiki, Voice Agents, and Sub-Agent Orchestration Explained
LangChain releases four major updates: OpenWiki for auto-generating codebase docs, voice agent tutorials, Harbor evaluation integration, and deepagents programmable sub-agents.
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·2 min
Fine-Tuning PaliGemma 2 for Custom Object Detection: A Practical Guide from General to Specialized
Learn how to fine-tune Google's open-source PaliGemma 2 VLM for custom object detection. Covers model architecture, data formatting, fine-tuning strategies, and real-world value.
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·6 min
The Complete Beginner's Guide to Claude Code: From Installation to Advanced Usage
Claude Code is one of the most powerful AI coding agents, running in the terminal to write code, batch operations, build web projects, and more. This guide covers installation, connecting local models via CC Switch, permission modes, CLAUDE.md, Skills, MCP, Subagents, and more.
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·5 min
From Prompts to Harness Engineering: The Evolution of AI Agent Development Paradigms
Why has AI engineering methodology evolved from prompts to context engineering and now Harness engineering? This article examines three paradigms, key bottlenecks, and the Agent = Model + Harness formula.
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·6 min
The Truth About "GPT-5.6": Debunking Fake Rumors and Third-Party Top-Up Scams
The rumored "ChatGPT 5.6 release" is fake—OpenAI never launched it. Learn about account security risks of third-party top-ups, the truth behind low-price scams, and how to spot AI misinformation.
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·6 min
Beware the Gemini Free Membership Scam: The Account Security Risks of Leaked Backup Codes
Exposing the phishing trap behind the "free Gemini Pro membership" tutorials circulating on video platforms: they lure users into handing over account passwords and backup recovery codes, leading to account theft. This article breaks down the process technically and teaches you to spot three danger signs.
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·5 min
The Complete Guide to Claude Skills: Configure Once, Reuse Your Workflow Forever
An in-depth guide to Claude Skills: from built-in skills and plugins to building your own custom skills and continuous refinement. Learn to end repetitive instructions and build an automated, consistent AI workflow.
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·2 min
IEEE Launches LLM Training Course: Large Language Model Education Goes Mainstream
IEEE launches an official LLM training course, signaling large language models are entering standardized professional education. What this means for the AI talent gap and your career.
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·7 min
Getting Started with Dify: A Complete Guide from Local Deployment to Building Enterprise-Grade AI Applications
A detailed guide to Dify, the open-source LLM app development platform, covering its core features and full local deployment via VMware + Ubuntu + aaPanel + Docker. Supports 100+ models like DeepSeek and ChatGPT to build enterprise AI apps fast.
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·7 min
Getting Started with LangChain: The Core Framework Connecting LLMs and AI Applications
A deep dive into LangChain's positioning and value—why do LLMs need a middle layer? How does LangChain serve as the 'glue' unifying multi-model interfaces and supporting Agent development? Learn its core modules and learning path.
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·7 min
Learning Python from Scratch: A Complete Guide to the Three-Stage Learning Path
Want to learn Python from scratch but don't know where to begin? This article breaks down three stages—basic syntax, advanced mastery, and hands-on practice—with real projects in crawling, automation, and data analysis to help you build programming thinking.
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·6 min
video-use: The Open-Source Tool That Lets AI Coding Agents Auto-Edit Videos
video-use from the browser-use team lets AI coding Agents auto-edit videos via natural language. 13K+ GitHub stars, batch processing, silence removal, FFmpeg integration.
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·6 min
AI Agent Learning Roadmap: A Four-Stage Guide from Beginner to Practical Mastery
A systematic AI Agent learning roadmap in four progressive stages: fundamentals → ReAct core paradigm → memory & tools → multi-agent collaboration. Master LangChain, AutoGen, and more, growing from beginner to practical developer in three months.
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·7 min
Spring AI 2.0 in Practice: A Beginner's Guide for Java Developers Building AI Agents
A complete Spring AI 2.0 guide for Java developers covering unified API abstraction, RAG, tool calling, MCP protocol, and enterprise projects to build AI Agents.
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·4 min
Complete Guide to Connecting External Models in Codex: Two Methods to Unlock Full Capabilities
Two methods for connecting external models to Codex: manually configure keys via relay services, or use the CC Tool to auto-bridge GPT, DeepSeek, and more. Covers auth/config files, CC Tool usage, and multi-model switching.
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