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New AI coding models like Qwen-3 Coder are powerful, but they all share a critical flaw: they forget. Whether you're switching from the terminal to VS Code, or between different agents like Qwen and Claude, you lose all your valuable context and have to start from scratch. In this tutorial, we solve this problem for good. We'll walk you through setting up the new Qwen Code CLI and then integrate it with ByteRover, a centralized memory layer that gives your AI agent a persistent, shared knowledge base across all your projects and favorite coding tools. This video is sponsored by ByteRover. We do a deep dive into their platform to demonstrate how you can create a shared AI coding memory for your entire team. ▸ What You'll Learn: How to install and configure the new Qwen Code CLI. The core "context loss" problem with all modern AI agents. How to use ByteRover to create a persistent, centralized memory. A live demo of sharing memory between the Qwen CLI and another AI tool in VS Code. An overview of ByteRover's pricing and their open-source alternative. ━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ Tools Mentioned: ByteRover: https://byterover.dev/?source=eric2 Cipher: https://github.com/campfirein/cipher Qwen Code CLI: https://github.com/QwenLM/Qwen3-Coder ━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔗 RESOURCES & LINKS 💬 Download the full resource in Skool: https://www.skool.com/erictech 📅 Work With Me New Projects - Free Strategy Call: https://calendar.app.google/sB9KrJP6e... Technical Consultation (Paid 1:1): https://calendar.app.google/BU9D589X3... 🤝 Let's Connect LinkedIn: / ericwtech ━━━━━━━━━━━━━━━━━━━━━━━━━━ Chapters: 0:00 - Intro 0:21 - Installing Qwen-3 Code CLI 3:07 - The Memory Solution 5:08 - Adding ByteRover 8:24 - Live Demo: Sharing Memory Across Different AI Tools 10:45 - Final Thoughts & Next Steps