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Xiaolong Cloud Tech Team
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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
Nov 7, 2025 · Frontend Development

Migrating a Product Management Backend to Micro‑Frontend with micro‑app: Lessons Learned

The article details the product‑center's shift from an iframe‑based UI to a micro‑frontend architecture, exposing the style‑isolation, sandbox, multi‑instance, routing and Sentry issues encountered with qiankun, and explains how micro‑app was adopted with concrete configuration, custom fetch, domain handling, and routing strategies to achieve a flexible, maintainable solution.

JavaScriptReactUmi
0 likes · 17 min read
Migrating a Product Management Backend to Micro‑Frontend with micro‑app: Lessons Learned
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Nov 6, 2025 · Artificial Intelligence

How to Make Large Language Models Understand Third‑Party Java Packages – A Full Case Study

This article examines why AI code assistants struggle to read compiled third‑party Java libraries, documents a failed attempt using Cursor, and presents three solutions—including manual source feeding, read_file tools, and a local decompiler (MCP)—detailing their implementation, trade‑offs, and performance.

AI assistantsCode generationJava
0 likes · 20 min read
How to Make Large Language Models Understand Third‑Party Java Packages – A Full Case Study
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Nov 4, 2025 · Artificial Intelligence

MiniMax M2 vs GLM 4.6 vs Claude Sonnet 4.5: A Hands‑On Programming Model Comparison

The author evaluates three state‑of‑the‑art programming LLMs—MiniMax M2, GLM 4.6 and Claude Sonnet 4.5—by running a suite of real‑world code‑execution, code‑generation, and creative SVG tasks, documenting setup, prompts, intermediate behavior, and detailed results to compare their capabilities.

AIClaude Sonnet 4.5GLM 4.6
0 likes · 9 min read
MiniMax M2 vs GLM 4.6 vs Claude Sonnet 4.5: A Hands‑On Programming Model Comparison
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Oct 31, 2025 · Artificial Intelligence

Why the New Fast‑Agent Era Matters: Cursor 2.0, Composer, Windsurf & SWE‑1.5

The article reviews Cursor's Composer model and Cognition's SWE‑1.5, showing they outperform Haiku 4.5 on SWE‑Bench, deliver token speeds around 950 tokens/s, leverage reinforcement‑learning fine‑tuning, support parallel agents in Cursor 2.0, and provide cost‑effective, high‑quality AI‑assisted coding across multiple real‑world projects.

AI codingagentcost analysis
0 likes · 15 min read
Why the New Fast‑Agent Era Matters: Cursor 2.0, Composer, Windsurf & SWE‑1.5
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Oct 31, 2025 · Artificial Intelligence

Prompt Engineering: The Art of Asking Questions in the AI Era

The article explains how effective prompt engineering hinges on the art of asking clear, goal‑oriented questions, offering concrete guidelines such as doing prior research, describing observable facts, staying concise, seeking key guidance, and maintaining politeness to collaborate with large language models.

AI InteractionBest PracticesCommunication Skills
0 likes · 10 min read
Prompt Engineering: The Art of Asking Questions in the AI Era
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Oct 30, 2025 · Artificial Intelligence

Why Making Agents Move Is the Next Critical Step: Explainability, Tool Creation, and 100% Accuracy

The interview with Sheet0.com founder Wang Wenfeng explores why the next phase for AI agents hinges on explainability, real‑time data integration, and tool creation, emphasizing 100% accuracy, trust, and feedback loops as essential for turning agents from interns into truly intelligent assistants.

AI AgentsReal-Time Dataexplainability
0 likes · 15 min read
Why Making Agents Move Is the Next Critical Step: Explainability, Tool Creation, and 100% Accuracy
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Oct 29, 2025 · Artificial Intelligence

Stop Reinventing the Wheel: An Agent Platform Bridges PoC to Enterprise AI

Enterprise AI agents are moving beyond passive chatbots to become digital employees that perceive, reason, plan, learn, and act, and this article dissects a seven‑module agent platform architecture, its advantages, real‑world use cases, and future directions for scaling AI productivity across businesses.

AI AgentsLLMagent platform
0 likes · 11 min read
Stop Reinventing the Wheel: An Agent Platform Bridges PoC to Enterprise AI