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Xiaolong Cloud Tech Team

Xiaolong Cloud Tech Team

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Recent Articles

Latest from Xiaolong Cloud Tech Team

65 recent articles
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Oct 13, 2025 · Artificial Intelligence

Building Reliable AI Agents: A Practical Guide from Prompt Engineering to Workflows and Knowledge Bases

This article systematically explains how to build a reliable, production‑ready AI agent by covering its core architecture—LLM, prompts, workflow, RAG, and tools—detailing prompt‑engineering techniques, DSL‑based workflow design, knowledge‑base construction, security considerations, and project planning methods.

AI AgentLLMPrompt engineering
0 likes · 17 min read
Building Reliable AI Agents: A Practical Guide from Prompt Engineering to Workflows and Knowledge Bases
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Oct 11, 2025 · Artificial Intelligence

Why System Architecture Beats Model Choice in AI Agent Deployments

The article explains that successful AI Agent deployments require a multi‑layered architecture—model, framework, and tool layers—detailing how LangChain, LangGraph, and MCP work together, and provides concrete implementation steps, best‑practice recommendations, and a roadmap from a minimal agent to an enterprise‑grade system.

AI AgentsAI IDELangChain
0 likes · 12 min read
Why System Architecture Beats Model Choice in AI Agent Deployments
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Oct 9, 2025 · Artificial Intelligence

Stop Collecting ‘God‑Level’ Prompts – Master Prompt Engineering Through Practice

The article argues that hoarding countless prompt examples is futile and instead teaches a three‑step, practice‑driven method—drafting a raw prompt, using AI to refine it, and iteratively polishing through real‑world testing—while emphasizing top‑down planning and the importance of personal experience.

AIIterative DevelopmentPractical Guide
0 likes · 5 min read
Stop Collecting ‘God‑Level’ Prompts – Master Prompt Engineering Through Practice
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Sep 30, 2025 · Frontend Development

Chrome’s New DevTools MCP Lets AI Debug Front‑End, Doubling Efficiency

Chrome’s newly released DevTools MCP server opens a Model Context Protocol that lets AI tools access real browser state, enabling them to verify fixes, troubleshoot errors, automate interactions, and diagnose performance, effectively turning AI from a code‑writer into a hands‑on debugging partner.

AI debuggingChrome DevToolsFrontend development
0 likes · 4 min read
Chrome’s New DevTools MCP Lets AI Debug Front‑End, Doubling Efficiency