In a previous article, I introduced a streamlined workflow using DeepSeek + QGIS (Beyond the Hype: Practical Integration of DeepSeek in GIS Workflows). It's undeniable that large language models like ChatGPT and DeepSeek are profoundly transforming the GIS industry. Recently, the domestic AI editor Trae officially launched. After testing it, I'm convinced this tool is essential—it significantly accelerates workflows for both GIS development and data processing!
What is Trae?
If you're unfamiliar with Trae, you might recognize Cursor; if not Cursor, perhaps Windsurf? If those don't ring a bell, have you encountered Cline, CodeGPT, v0, Bolt.new, Tongyi Lingma, or Douban MarsCode? If none sound familiar, it's time to catch up with AI advancements.
Simply put, Trae is a competitor to Cursor—the pioneering AI editor that redefined coding. Unlike autocomplete plugins (e.g., GitHub Copilot), AI IDEs like Trae and Cursor enable comprehensive code modification, refactoring, documentation, and commenting. They support multi-model integration, provide repository-wide intelligence, debug in real-time, and offer interactive AI conversations like DeepSeek.
While I previously used Cursor, its unstable performance in China limited my recommendations. But with DeepSeek's open-source release and localized optimizations, ByteDance's Trae delivers exceptional quality—highly recommended!
