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Yunqi AI+
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Yunqi AI+

Focuses on AI-powered enterprise digitalization, sharing product and technology practices. Covers AI use cases, technical architecture, product design examples, and industry trends. Aimed at developers, product managers, and digital transformation professionals, providing practical solutions and insights. Uses technology to drive digitization and AI to enable business innovation.

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Recent Articles

Latest from Yunqi AI+

39 recent articles
Yunqi AI+
Yunqi AI+
Mar 18, 2026 · Artificial Intelligence

Making AI Write Production-Ready Code via Context Engineering (COLA 5.0 & Spring Boot 3.x)

The article presents a systematic context‑engineering method that feeds project‑level, file‑level and task‑level knowledge to Claude/Claude‑CLI or Cursor, turning AI from an inconsistent code generator into a reliable collaborator, and quantifies token savings and consistency gains in a COLA 5.0 + Spring Boot 3.x project.

AI codingCOLACode Consistency
0 likes · 14 min read
Making AI Write Production-Ready Code via Context Engineering (COLA 5.0 & Spring Boot 3.x)
Yunqi AI+
Yunqi AI+
Mar 15, 2026 · Operations

How to Keep Your AI Knowledge Base Accurate and Up‑to‑Date

This guide explains the standardized workflow, documentation standards, and quality‑control mechanisms that business and product teams should follow to maintain a high‑quality AI knowledge base, ensuring agents always provide correct answers.

AI knowledge baseDocumentation StandardsFAQ creation
0 likes · 24 min read
How to Keep Your AI Knowledge Base Accurate and Up‑to‑Date
Yunqi AI+
Yunqi AI+
Mar 14, 2026 · Industry Insights

Why Building an AI Knowledge Base Becomes an All‑Hands Initiative Once AI Goes Deep

The article explains how scaling AI agents reveals fragmented, inconsistent internal documentation, and argues that high‑quality production knowledge bases require a company‑wide, role‑based process, concrete writing rules, continuous inspection, and cross‑department ownership to ensure AI answers remain accurate and user‑focused.

AI deploymentAI knowledge basecross-functional collaboration
0 likes · 14 min read
Why Building an AI Knowledge Base Becomes an All‑Hands Initiative Once AI Goes Deep
Yunqi AI+
Yunqi AI+
Feb 25, 2026 · Artificial Intelligence

How Our In-House AI Agent Scaled to Handle 70% of Tech Support: A Six-Month Review

Over six months the team built an AI agent that now answers more than 70% of technical support queries by grounding responses in system data, a curated knowledge base, and a tiered permission model, while also exposing growing technical debt and maintenance challenges.

AI agentOperational AITech Support Automation
0 likes · 7 min read
How Our In-House AI Agent Scaled to Handle 70% of Tech Support: A Six-Month Review
Yunqi AI+
Yunqi AI+
Feb 23, 2026 · Artificial Intelligence

Effective Prompt Writing Techniques for Human‑AI Collaboration

Prompt engineering serves as the bridge between humans and AI, requiring cognitive decomposition, instruction engineering, and model alignment; the article outlines essential skills, precise language, scenario adaptation, iterative optimization, ethical safeguards, symbol conventions, template examples, tuning tools, FAQs, and learning resources.

AI collaborationPrompt templatesTool Optimization
0 likes · 12 min read
Effective Prompt Writing Techniques for Human‑AI Collaboration
Yunqi AI+
Yunqi AI+
Feb 22, 2026 · R&D Management

Rethinking Product Development: How AI Reshapes the Value Stream, Not Just Code Speed

The article analyzes how AI has evolved from a code‑completion aid to a foundational operating system that forces product‑research teams to redesign the entire requirement‑to‑delivery value stream, outlining practical boundaries, pilot implementation, organizational role changes, metric shifts, and risk governance.

AIR&D managementValue Stream
0 likes · 17 min read
Rethinking Product Development: How AI Reshapes the Value Stream, Not Just Code Speed
Yunqi AI+
Yunqi AI+
Feb 13, 2026 · Artificial Intelligence

Key Challenges When Enterprises Deploy AI-in-the-Loop

The article outlines a four‑layer framework—process, technology, risk, and culture—to help enterprises implement AI‑in‑the‑loop safely, ensuring AI assists decisions while humans retain final authority, with concrete governance, data, and organizational practices.

AI-in-the-loopMLOpsRisk Governance
0 likes · 7 min read
Key Challenges When Enterprises Deploy AI-in-the-Loop
Yunqi AI+
Yunqi AI+
Feb 13, 2026 · Artificial Intelligence

AI Engineering: Methodology and Practice for Turning Generative AI into Production Systems

The article outlines a comprehensive AI engineering methodology—including the TPMR framework, an AI‑driven development lifecycle, talent transformation from co‑pilot to AI pilot, and a practical enterprise adoption roadmap—to move generative AI and large models from experimental prototypes to production‑grade systems.

AI EngineeringAI lifecycleGenerative AI
0 likes · 5 min read
AI Engineering: Methodology and Practice for Turning Generative AI into Production Systems