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+

21 recent articles
Yunqi AI+
Yunqi AI+
Mar 20, 2026 · R&D Management

How AI Is Redefining Product‑Development Collaboration and Turning Knowledge Into Organizational Assets

The article analyzes how AI reshapes product‑development workflows, forces a redefinition of the product manager role, pushes demand clarification ahead of engineering, upgrades governance, and shifts competitive advantage from manual delivery to structured knowledge assets, offering concrete recommendations for organizations entering the AI era.

AIKnowledge AssetsOrganizational Change
0 likes · 15 min read
How AI Is Redefining Product‑Development Collaboration and Turning Knowledge Into Organizational Assets
Yunqi AI+
Yunqi AI+
Mar 18, 2026 · Industry Insights

Which Enterprise AI Scenarios Are Worth Pursuing and How to Implement Them

The article argues that choosing the right AI scenario and redesigning business processes is far more critical than model selection, outlines proven use‑cases across sales, marketing, customer service, engineering, supply chain, finance, HR, and legal, and provides a practical three‑dimensional framework for prioritizing and rolling out AI projects.

AI implementationAI use casesEnterprise AI
0 likes · 17 min read
Which Enterprise AI Scenarios Are Worth Pursuing and How to Implement Them
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 baseFAQ creationchunking strategy
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 baseData Quality
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 AgentCase StudyLarge Language Model
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 DesignPrompt Engineering
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.

AIMetricsR&D management
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-loopMLOpsexplainability
0 likes · 7 min read
Key Challenges When Enterprises Deploy AI-in-the-Loop