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ESP32-S3 N16R8 bench guide: live pinout, lessons, simulators and the bench log.
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Bridge AI assistants with Canvas LMS using MCP. Up to 103 tools for students and educators.
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一分钟完成验证Simple study app for AI autonomous development practice (Next.js + TypeScript)
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取自仓库 README
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查看完整 README ↗A small study app built with Next.js (App Router), TypeScript, React, and Tailwind CSS. Track what you need to study, then practice with flashcards. There is no backend: tasks and cards are stored in the browser with localStorage.
npm install
npm run dev
Open http://localhost:3000.
/ is the study task list. Add a task, mark it done, or remove it./flashcards is the deck. Add a question and answer, then click a card to flip it.npm run build
npm start
npm run lint
Tasks are stored under study.tasks and flashcards under study.cards in localStorage. Clearing site data for this origin removes them. The first visit seeds a few example tasks and cards; deleting them leaves the lists empty.
src/app/page.tsx Task list homepage
src/app/flashcards/page.tsx Flashcard page
src/components/task-board.tsx Add, complete, and remove tasks
src/components/flashcard-deck.tsx Add cards and flip them
src/lib/storage.ts Storage keys, seeds, and parsers