#development environment setup
887 related articles
·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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·4 min
Gemini API in Practice: Building AI Agents with Files
Google's official hands-on: how to go from idea to production fast with AI Studio and build AI Agents using the now-GA Interactions API. The core idea—Agents are just combinations of files.
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·5 min
Gemini API in Practice: Building AI Agents with Files
Official Google hands-on: go from idea to production fast with AI Studio, and build AI Agents with the now-GA Interactions API. The core idea: an Agent is just a composition of files—Markdown plus a few scripts, no complex Python loops needed.
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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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·4 min
AI Testing in Practice: A Complete Guide to Three Types of AI Tools and the New Paradigm of Test Development
A comprehensive guide to three core AI tool types (personal assistant, CLI geek, AI IDE) in the testing era. Uncover the real challenges of AI test case generation and the new AI test development paradigm.
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·4 min
AI Testing in Practice: A Complete Guide to Three Types of AI Tools and the New Paradigm of Test Development
A complete guide to the three core categories of AI tools in the testing era (personal assistants, CLI geek tools, AI IDEs), revealing the real challenges of AI test case generation and the new AI test development paradigm.
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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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·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 setup, covering CLI installation, switching to domestic models, project analysis, Git workflow automation, and automated bug fixing.
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·1 min
How to Choose a Vibe Coding Tool? Agnes Code Hands-On: Generate an Android App from a Single Sentence
In the Vibe Coding era, AI coding tools are more accessible than ever. This hands-on review of Agnes Code shows how a single natural-language request generates an installable APK—no coding required. Compared with Codex and Claude Code across ease of use, closed-loop ability, and speed.
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·2 min
Getting Started with Claude Code: Environment Setup, Switching to Domestic Models, and Git Workflow Explained
A complete beginner's guide to Claude Code: from CLI installation and switching to domestic models like DeepSeek via CC Switch, to conversational Git operations, multi-branch management, and automated bug fixing.
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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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·2 min
Codex Hands-On Tutorial: Generate MG Animation with an AI Agent in One Sentence
Get started with Codex AI Agent from scratch: project creation, plugin setup (Computer Use/Remotion), Plan Mode vs Goal Mode, and a hands-on demo of generating MG animation in one sentence.
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·1 min
The Challenge of Managing 50 AI Skills: Achieving Smart Auto-Invocation with the MCP Protocol
When your AI skill library grows to 50, repeated installs, difficult searches, and memory overload become core pain points. This article introduces an MCP-based unified management tool.
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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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·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.
Read more →
·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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