Vue-doo Magic: AI Development Tricks
summary
Built a textbook exam generator that scans pages, uses an LLM to extract markdown text and returns JSON questions; the project uses Supabase for auth/storage and Nuxt-style API routes. Code is scaffolded with Cursor composer (multi-file edits, runnable changes) plus ~177 lines of cursor rules to avoid common errors; an image-upload modal took 15–20 minutes to generate. Model tuning cuts cost from ~$0.09 to ~$0.01 per page by switching to Claude 3.5 sonnet. Uses job queues, chunking, JSON-only prompts, and streaming to mitigate latency.
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chapters (14)
- 0:00AI in Vue development
- 1:26AI adoption importance
- 3:51AI productivity boost
- 5:18Cursor composer multi-file
- 10:44AI code generation components
- 12:57Optimizing AI with cursor rules
- 17:36Safe AI-assisted workflow
- 18:00AI features in Vue apps
- 21:14Prompt engineering tips
- 23:06Mitigating AI latency
- 24:51Chunking prompts
- 25:14AI tools for Vue
- 28:43Future of AI in Vue
- 30:34Q&A
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