When Alibaba Enters Global AI Coding: 60 Days on the Battlefield | Conversation with Qoder Founder Shutong

When Alibaba Enters Global AI Coding: 60 Days on the Battlefield | Conversation with Qoder Founder Shutong
# Crossroads — Qoder’s AI Coding Journey  
**Date:** 2025-10-29 · **Location:** Beijing  

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![image](https://blog.aitoearn.ai/content/images/2025/10/img_001-644.jpg)  

> **“Absolutely right, unquestionably right.”**

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## 🎙 Podcast Episode Overview  

**Guests:** Koji, Ronghui  
**Editing & Organization:** Starry  
**Layout Design:** NCon  

![image](https://blog.aitoearn.ai/content/images/2025/10/img_002-606.jpg)  

This episode features an in-depth conversation with **Shutang**, founder of Alibaba **Qoder** — an "Agentic Coding" product — reflecting on 60 days of competition in the global AI Coding **red ocean**.

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### 📈 The Numbers Behind Shutang’s Confidence  

- **100,000 users** in the first 5 days after launch  
- **500,000 active developers** in just 60 days  

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## 🔥 The Global AI Coding Landscape  

AI coding is arguably the hottest field in 2025:

- **Cursor**: $500M annual revenue, $10B valuation — a prized Silicon Valley unicorn  
- **Anthropic’s Claude Code**: growth even steeper than OpenAI  

> **Question to consider:**  
> Where can Alibaba find space in such a competitive battlefield?

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## 👤 About Our Guest  

Shutang:
- Former technical lead for **Alibaba Double 11**
- Led China’s earliest **cloud-native transformation**
- Now spearheading Qoder’s rapid rise by combining **product thinking**, **technical strategies**, and **organizational capabilities**.

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![image](https://blog.aitoearn.ai/content/images/2025/10/img_004-531.jpg)  

🎥 **Recorded at:** AI Hacker House  
🎬 **Video available on:** Koji Yang Yuancheng's Xiaohongshu, Bilibili, WeChat Video, YouTube  

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## 🎧 Listen Now  

- **WeChat Podcast**  
- **Xiaoyuzhou Podcast**  

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## 📚 Interview Outline (Summary)  

### 1. Quick Q&A
- Age, alma mater, MBTI, zodiac sign
- One-sentence pitch  
- Revenue & profit figures  
- Team size  
- Pre-Qoder work

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### 2. **AI Coding Panorama: From 0–1 vs 1–100**

A typical user:
1. Starts with AI generating a prototype site.  
2. Switches to specialized tools for long-term maintenance.  

**Key Points:**
- Three main categories:  
  1. Tools for creators to build instantly from ideas.  
  2. Tools boosting professional developer efficiency.  
  3. “Digital employees” replacing human labor.  
- Trend toward **uniform integration**.  
- Without self-developed models, tools risk being “wrappers” for providers.  
- Tech giants hold advantage via cost control + model-product optimization.

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### 3. **Breaking Out of the Red Ocean with Qoder**

> *“While others went for low-hanging fruit, we went straight to high-value peaks.”*

- Skipped flashy “0–1” generation  
- Targeted **real-world software development** (95% of dev work)  
- Positioned Qoder as **Agentic Programming Platform**  
- Advocated paradigm shift: **“I don’t do it — the agent does.”**

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### 4. **Why Requirements Documentation Matters**

**Spec-Driven Process:**  
1. User gives one-line requirement  
2. Documentation Agent auto-generates detailed spec  
3. After confirmation, Code Agent executes tasks over time  

Analogy: *Boss → Product Manager (PRD) → Engineers → Delivery*

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### 5. **Product Philosophy: From “Flow” to “Control”**

- In AI pair programming, uninterrupted flow is rare  
- Qoder emphasizes **user control over agent behavior**  
- Automatic **machine model selection** to prevent decision fatigue  
- Balances **performance–efficiency–cost triangle** via context engineering

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### 6. **Organizational Strategy for Speed**

- Built on teams & assets from Alibaba’s Lingma  
- Global-first approach:  
  Use best models now → Develop own models in parallel  
- Independent BU structure boosting agility

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### 7. **Repo Wiki: Taming Legacy Code**

Principle: *“Docs can lie — code is always current”*

- AI analyzes code + full commit history  
- Produces a **real-time evolving “living document”**  
- Deeply integrated into Git workflows  
- Unique moat: customized models, agents, team flows

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### 8. **Programmers in the AI Era**

Optimistic outlook:  
- **Jevons paradox**: More automation → higher demand → possibly more programmers  
- Future dev skillset shifts toward:  
  - Requirements insight  
  - Holistic design  
  - Results validation

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## 🌐 Integrating Development with Content Ecosystems  

Platforms like **[AiToEarn官网](https://aitoearn.ai/)** exemplify the “from creation to monetization” workflow:  
- AI generation tools  
- Cross-platform publishing (*Douyin, Kwai, WeChat, Bilibili, Xiaohongshu, Facebook, IG, LinkedIn, Threads, YouTube, Pinterest, X*)  
- Analytics + AI model ranking  
- Open-source for efficiency & multi-channel distribution

Docs: [AiToEarn文档](https://docs.aitoearn.ai) | Rankings: [AI模型排名](https://rank.aitoearn.ai)

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## 📌 Takeaways from Shutang’s Insights  

### Qoder Differentiators
- **Focus on real software** maintenance & evolution
- **Spec-driven agent workflows**
- **Machine-selected models**
- Multi-interface: IDE, CLI, plugins
- Repo Wiki for legacy code
- Cloud sandboxes for parallel agent execution

### Strategic Parallels
Both Qoder and AiToEarn integrate **creation**, **management**, and **distribution** into cohesive systems.

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![image](https://blog.aitoearn.ai/content/images/2025/10/img_012-241.jpg)

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## 📎 Reference:  
Qoder official site — [https://qoder.com/](https://qoder.com/)  

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