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CAN I VIBECODE

Any.do?

YESA focused first version is a sensible AI-assisted build. Keep the first release narrow and polish the workflow people repeat.

BUILD FIRST

  1. One defined user and a repeatable end-to-end job
  2. A small, clear data model with sign-in only if it is genuinely needed
  3. Loading, empty, error, and success states that make the workflow feel complete

LEAVE FOR LATER

  1. Large integration marketplaces
  2. Multi-region scale and enterprise administration
  3. Every power-user setting from the established product

RESEARCH NOTES

What this tool actually does.

Checked 2026-09-06

Getting Started with Premium | Any.do Help Center — Power up your personal productivity with smarter tools and deeper focus.

RESEARCHED BUILD PROMPT

Give this to your coding agent.

Build a focused replacement for Any.do for one person managing tasks across a few projects, based on this public product description: “Getting Started with Premium | Any.do Help Center — Power up your personal productivity with smarter tools and deeper focus.” Do not copy the original brand, proprietary assets, name, logo, UI, or copy; create an original visual system.

Core workflow
- Recreate only the narrow primary workflow described above, with create, edit, prioritize, schedule, complete, and filter tasks; support projects, labels, recurring rules, and a clear overdue state; provide keyboard-friendly editing, reminders as an optional adapter, and export; include local demo data and persistence tests.
- Keep the product name and source description in a research note in the README, and turn every uncertain behavior into an explicit assumption or user setting rather than inventing a feature.
- Use a small React/TypeScript app with a portable JSON or SQLite data model, clear loading/empty/error states, and adapters around external services. Seed realistic demo data so the complete workflow works without paid credentials.

Scope boundaries
- Out of scope for v1: team chat; enterprise resource planning; dozens of third-party integrations. Do not promise feature parity, proprietary data, or enterprise reliability.

Include a README with setup, environment variables, data model, implementation decisions, privacy behavior, testing instructions, and important limitations.
Visit the official product page