Build a Progress Tracker with Next.js
A goal and progress tracking app with milestones and charts. Using Next.js's Next.js 14+ with App Router, SSR, and shadcn/ui, LoomCode AI generates a production-ready progress tracker with clean code structure, proper state management, and a polished user interface — all from a single text description in seconds. No prior coding experience required.
Build This App NowHow to Build a Progress Tracker with Next.js
Select Next.js
Open LoomCode AI and choose the Next.js template from the template picker.
Describe your app
Type a description of your progress tracker and click submit.
Preview & deploy
Watch the AI generate code and preview your working app live. Deploy with one click.
Why Build a Progress Tracker with Next.js
Next.js's component model is a natural fit for progress tracker interfaces, where each task, list, or panel maps cleanly to a reusable component. The reactive state management handles real-time updates as users add, edit, and organize items.
What the AI Generates for This Progress Tracker
- Responsive progress tracker layout that adapts to desktop, tablet, and mobile
- Component-based architecture with reusable UI elements
- Client-side state management for instant user interactions
- Styled with Tailwind CSS utility classes for a polished look
- Persistent state so work is not lost on page refresh
- Keyboard shortcuts and quick-action buttons for common progress tracker operations
Example Prompt
Copy this prompt and paste it into LoomCode AI:
What You Get
LoomCode AI generates a progress tracker with full CRUD operations — create, read, update, and delete. Items persist in state, support status toggling and filtering, and the interface responds instantly to user actions. The output is properly structured Next.js code using Next.js 14, TypeScript, Tailwind CSS, shadcn/ui with typed components, responsive styling, and clean state management. The app runs immediately in a live sandbox — interact with it, test every feature, then iterate with follow-up prompts or deploy to a shareable URL.
Tips for Better Results
- Describe your ideal workflow: "add task, set priority, mark complete, filter by status" gives the AI clear action patterns to implement
- Ask for keyboard shortcuts if power-user efficiency matters — the AI can wire up Ctrl+N for new items, Delete for removal, etc.
- Mention "drag and drop" or "reorder" explicitly if you want sortable lists — the AI uses the appropriate library for Next.js
- Consider asking for responsive design explicitly if mobile support matters for your progress tracker
Tech Stack
FAQ
Can AI build a Progress Tracker with Next.js?
Yes. LoomCode AI generates a complete progress tracker with Next.js 14, TypeScript, Tailwind CSS, shadcn/ui from a text description. The AI understands task management, organization, and workflow features and produces working code that runs immediately in a live sandbox. Next.js's component architecture handles task management, organization, and workflow features with reusable UI pieces and efficient state management. You can iterate with follow-up prompts to refine features or deploy with one click.
How long does it take to build a Progress Tracker with AI?
A working progress tracker typically generates in 30-60 seconds. The initial version includes task management, organization, and workflow features with a polished UI. From there, you can add features incrementally — each follow-up prompt takes another 15-30 seconds. Most users go from idea to a deployable progress tracker in under 10 minutes, compared to hours or days of manual development.
Can I customize the generated Progress Tracker?
Yes, in two ways. First, use natural language follow-up prompts: "add dark mode", "change the layout to tabs", or "add a search filter" — the AI modifies the existing code. Second, copy the full source code and edit it directly. The output is standard Next.js code using Next.js 14 and TypeScript that works in any React/Vue/Next.js project.
Which AI model works best for a Progress Tracker?
For a progress tracker, GPT-4o offers the best speed-to-quality balance for quick iterations. Claude 3.5 Sonnet produces more polished code for complex features. DeepSeek V3 is a cost-effective alternative for simpler versions. You can switch models anytime.
Is the generated progress tracker production-ready?
For prototypes and MVPs, the generated progress tracker is typically ready to use immediately. The code includes proper TypeScript types, component structure, and responsive design. For production deployment at scale, you may want to add automated tests, error boundaries, and monitoring.
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