Code smarter, not harder: How AI Tools Boost Your Productivity
summary
Demo shows a working web prototype with real authentication and a Supabase backend built in 5–10 minutes using Lovable, wired to Perplexity for research and ChatGPT for content generation; result is persisted and inspectable in the Supabase dashboard. For production coding, a VS Code plugin uses on-device LLMs and a plan-and-act mode that generates architecture plans then produces code only after approval, while a Coding Rules AI repo enforces team guidelines. Limits: context-window for large projects and need for human review.
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chapters (7)
- 0:00Introduction
- 1:53AI coding categories
- 3:00Prototyping with Lovable
- 9:44Planning and coding with Client First
- 14:00AI coding workflow
- 15:25Balancing AI and human oversight
- 16:31Q&A
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