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In Day 81, we refactor our frontend data layer by introducing TanStack Query (React Query). Instead of writing boilerplate useEffect hooks, we are using Antigravity—an Agentic IDE powered by Gemini Pro—to generate production-grade caching logic for us. In this live session: The Problems: No caching, no retry, no server-specific state handling, and the risk of useEffect to cause race conditions and unnecessary re-renders (For we handle race conditions manually but it stops in this stream). The Solution: Installing and configuring the TanStack Query Client. AI Workflow: prompting the Antigravity IDE (Gemini Pro) to refactor our API calls By the end, our data fetching will be declarative, cached, and written by an AI agent. Join the Community: https://discord.gg/bqUFaDaj Watch the full playlist: https://www.youtube.com/playlist?list=PLdtwawCR2QjmdfhM-7SzDOVGop373bbgW GitHub Repo (Public Mirror): https://github.com/KNehe/aero_bound_ventures-public.git Subscribe to master AI-Driven Development. #TanStackQuery #ReactQuery #GeminiPro #AIAgent #AntigravityIDE #NextJS #FrontendDevelopment
