I Built 2 Full Stack Django Apps in 72 Hours Using Cursor AI

说明与用途

作者在72小时内使用Cursor AI和Gemini构建了两个生产就绪的Django应用程序。

问题

Build two production-ready full‑stack web applications within a 72‑hour sprint using AI assistance.

结果

Two production‑ready Django applications were delivered in 72 hours, with AI tools accelerating boilerplate and UI design, while early architectural decisions maintained code quality.

工作流

• 1. Defined architectural boundaries and project scope for both apps.
• 2. Used Cursor AI to generate boilerplate Django code and templates, speeding up setup by ~3×.
• 3. Prompted Gemini with clear UI context to produce Tailwind CSS components for card layouts, dynamic ticket tiers, and cart interfaces.
• 4. Integrated generated code, refined logic, and added custom features (QR validation, dynamic cart).
• 5. Tested end‑to‑end functionality and polished UI.
• 6. Recorded workflow and shared results in a video.

证据

Using Cursor AI for routine boilerplate sped up the build by 3x, but setting strict architectural boundaries early was crucial to keep Django templates and logic clean.

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