#LLM agent setup
498 related articles
·4 min
GenAI Job Interview Gone Wrong: Interviewer Googles Gemini for Questions on the Spot — What's Broken in AI Hiring?
A fresh grad interviewing for a GenAI Trainer role faced prime number coding and activation function questions while the interviewer used Gemini to generate questions live — exposing AI hiring chaos.
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·4 min
Getting Started with PiDeck: A Complete Guide to the Local AI Coding Workbench
PiDeck is a free, open-source local AI coding workbench that provides graphical management for CLI tools like Claude Code and Cursor. This guide covers installation, model authentication, project management, and advanced conversation tips.
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·3 min
Getting Started with AI Agent Development: A Learning Path from Zero to Deployment
A systematic guide to the complete learning path for AI Agent development—covering prompt engineering, RAG knowledge bases, LangChain & LangGraph, fine-tuning, and multi-agent collaboration.
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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
DeepSeek-OCR Deployment and Fine-Tuning: A Complete Hands-On Guide
Master the full DeepSeek-OCR deployment and fine-tuning workflow: vLLM inference deployment, efficient Unsloth fine-tuning, dataset preprocessing, LoRA training, validation, and RAG vector database integration.
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·2 min
A Complete Guide to Learning AI Agents from Scratch: From Beginner to Practice
A complete guide to learning AI Agents: from large model fundamentals and core technologies to hands-on projects. Systematically outlines beginner methods and exposes crash-course marketing traps.
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·2 min
Enterprise-Grade Claude Code in Practice: A Complete Guide from Setup to Git Workflow
A systematic guide to Claude Code, covering CLI installation, switching to domestic models, project analysis, code generation, and Git workflow. Master the CC command system and land enterprise-grade development applications quickly.
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·2 min
Claude Code Enterprise Practical Guide: From Environment Setup to Full Git Workflow
A systematic guide to Claude Code: from CLI installation and domestic model switching to project analysis, code generation, and Git workflows. Master the CC command system and engineering collaboration.
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·3 min
Getting Started with Claude Code: A Practical Guide to Environment Setup and Git Workflow Automation
A systematic guide to Claude Code's core capabilities and environment setup, covering CLI installation, switching to domestic LLMs, project analysis, Git workflow automation, and automated bug fixing to help developers get started fast.
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·2 min
Getting Started with Claude Code: Environment Setup, Switching to Chinese Models, and Git Workflow Explained
A complete Claude Code beginner's guide: from CLI installation and switching to Chinese models like DeepSeek via CC Switch, to conversational Git operations, multi-branch management, and automated bug fixing.
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·3 min
Stop Flying Blind: A Complete Practical Guide to Writing Evals for AI Agent Skills
A Google DeepMind engineer reveals that over 50,000 AI agent skills come with almost no evals. This guide covers skill descriptions, test design, eval harnesses, and retirement strategies.
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·1 min
AI Agents Reshape the Testing Workflow: A Paradigm Revolution from LLMs to Agents
An in-depth look at how AI Agents disrupt traditional software testing: the core differences between LLMs and Agents, four capability dimensions (planning/memory/tools/skills), and how testers achieve 10x efficiency gains.
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·1 min
AI Agents Rebuild the Entire Testing Workflow: A Paradigm Revolution from LLMs to Agents
An in-depth look at how AI Agents are disrupting traditional software testing: the core differences between LLMs and Agents, four capability dimensions (planning/memory/tools/skills), and how test engineers can achieve 10x efficiency gains in test case generation.
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·3 min
Claude Code for Absolute Beginners: A Step-by-Step Guide (Install + Connect an LLM + Hands-On Practice)
How do complete beginners get started with Claude Code? This guide covers VS Code setup, two ways to connect an LLM in China, four core usage modes, and building your first practical tool without writing a single line of code.
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·2 min
Getting Started with Claude Code: A Complete Guide to Installation, Configuration, and Git Workflows
An in-depth guide to Claude Code from installation to hands-on practice: CLI setup, switching to domestic LLMs (CC Switch tool), conversational Git workflows, plus project analysis and automated bug fixing tips for AI-powered coding.
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·2 min
Claude Code From Zero to Production: Installation, Switching to Chinese LLMs, and Git Workflow Guide
A complete guide to Claude Code: Node.js setup, CLI install, switching to Chinese LLMs with CC Switch, core commands, and conversational Git workflows with automated bug fixing.
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·7 min
Enterprise AI Agent Security Isolation and Memory Design: NanoClaw Founder Breaks Down Real-World Lessons
NanoClaw founder David Boyd breaks down the core engineering of enterprise autonomous Agents: a triple security isolation model, LLM Wiki memory design, and the real-world path from personal Agents to team-scale deployment.
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·2 min
OfficeCLI Hands-On: AI Batch Read, Edit & Generate Word/Excel/PPT Without Installing Office
Hands-on test of open-source OfficeCLI: a single binary reads, edits, and generates Word/Excel/PPT. 1,000 cells rewritten in 0.37s, Chinese text supported. Covers XML internals, real failures, and AI Agent integration.
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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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·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.
Read more →