Interesting Weekly No.155 (2025.11.17): Make AI Execute Smooth Combos — Code, Deploy, Self-Test, Fix Bugs
🗂 Interesting Weekly Digest

> “Interesting Weekly Digest” is my personal side project where I curate and summarize weekly reading highlights along with personal reflections.
> The goal is to build a stronger personal knowledge framework while sharing curated insights with you.
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📌 This Week’s Highlights
📰 Recommended Reading
- Let AI pull off smooth combos: coding → deployment → self-testing → bug fixing
- From 0 to 1: Tmall’s breakthroughs in AI-generated test cases
- Dewu’s TiDB upgrade practice
- Detailed comparison: building AI agents with Dify, n8n, and Coze
- Illustrated guide to 101 payment terms
- Translated article: Inside observations of Cursor
🔎 New Discoveries
- Microverse: sandbox “god simulator” AI social simulation game
🎯 Quotes & Commentary
- Rare public interview of Duan Yongping, 20 years post-retirement — strategy, business operations, investment, and corporate philosophy in 20,000+ words worth saving
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🔄 Let AI Pull Off Smooth Combos

Link: Read article
Key Idea:
A test-driven AI programming closed-loop workflow designed to solve the "last mile" of AI code generation — self-testing and iteration.
Workflow covers:
- Coding
- Deployment
- Self-testing
- Bug fixing
Highlights:
- Automated acceptance checks & feedback loops enhance AI’s production readiness
- Case study (“Favorites” feature fix) shows AI can self-repair and optimize given clear requirements & test cases
- Future improvements: stronger testing, diagnostics, task decomposition → higher automation
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🚀 From 0 to 1: Tmall’s AI-Generated Test Cases

Link: Read article
Overview:
- Deep dive into AI-powered QA practices at Tmall
- Core approach:
- Standardized requirements
- Retrieval-augmented knowledge base (RAG)
- Integrated testing platforms
- Goals: boost coverage, speed & reduce costs
- Outcome: QA transformation from “manual” to “intellectual” tasks
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📦 Dewu’s TiDB Upgrade Practice

Link: Read article
Context:
Dewu’s DBA team has iteratively improved TiDB deployments since 2020, adapting through multiple version upgrades (v4.0.9 → v4.0.11 → v5.1.1 → v5.3.0 → v5.3.3).
Upgrade Goals:
- Unify versions under 7.5.x
- Improve stability & performance
- Apply architecture enhancements, leverage new features, refine upgrade plans
Practical Insights:
- Risk mitigation during production upgrades
- Performance tuning strategies
- Ensuring continuous service availability
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💡 Tip for Content Creators:
Platforms like AiToEarn官网 enable AI content creation + cross-platform publishing + analytics + model ranking — allowing you to publish on Douyin, Bilibili, Instagram, YouTube, X, and more with one workflow.
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🧠 Building AI Agents: Dify vs n8n vs Coze

Link: Read article
Summary:
- Compares low-code AI agent platforms: Dify, n8n, Coze
- Analysis includes:
- Positioning
- Pros & cons
- Best-fit scenarios
- Suggests hybrid development strategy:
- Low-code platforms → faster dev & better observability
- Keep flexibility with custom code layers
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💳 Illustrated Guide to 101 Payment Terminologies

Link: Read article
Coverage:
- Core payment processes: transaction → clearing → settlement
- Related terms: transaction types, product names, customer categories, gateways, accounting, ledger systems, risk & security
- Includes diagrams for intuitive learning
- Encourages reader contributions for term expansion
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📝 Translated Article: Inside Cursor

Link: Read article
Observations from 60 days:
- Extreme in-person collaboration culture
- Top-tier talent hiring
- Internal-use-driven product development
- Founder-driven "ceiling mindset" for growth
- Mature team dynamics + mission-centered work culture
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🎮 Microverse: AI-Driven Sandbox Game

Link: GitHub Project
- Built on Godot 4
- Multi-agent AI social simulation
- Characters with memory + autonomous interaction
- Social relationships evolve through ongoing communication
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🗣 [Complete Edition] Duan Yongping Interview

Link: Read article
Content Highlights:
- Personal journey & corporate management philosophy
- Investment approach: “Buying stocks = buying companies”
- Views on Apple, Moutai, education, AI
- Core principles: long-term strategy, culture, empowerment, talent selection, patience
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🔚 Final Note
In this fast-evolving AI-driven content ecosystem:
- Multi-agent AI (like Microverse) can simulate societies or businesses
- Platforms such as AiToEarn官网 offer the missing link — generating, publishing, and monetizing across major content platforms with integrated metrics and AI model rankings (AI模型排名)
These tools embody long-term strategy + empowered growth, aligning with many of Duan Yongping’s philosophies.
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