Ship an Android App in 7 Days with AI
A concrete, day-by-day workflow for taking a simple utility-app idea from concept to a live Google Play listing in one week, using AI-assisted development.
Goal
Publish a functional, policy-compliant Android app to Google Play in 7 calendar days.
The Playbook
- 1
Day 1 — Scope & schema
Write the app down as one sentence, then list 3-5 screens maximum. Define the data model in plain English. Reject any feature that does not pay rent on that one sentence. Output: README + screen list + data schema doc.
- 2
Day 2 — Scaffold & core UI
Use Claude Code to scaffold a Jetpack Compose or Flutter project. Build the skeleton of every screen with placeholder data. No business logic yet — just navigation and layout. Ship to a device by end of day.
- 3
Day 3 — Business logic & state
Wire up the real data flow: ViewModels, persistence (Room / shared prefs), computation. This is where AI helps most — generating boilerplate, serializers, and test fixtures. Human reviews every diff.
- 4
Day 4 — Polish & edge cases
Empty states, error states, permission denials, back-button behavior, accessibility. Fix the 10 things that will fail review. Add app icon and splash screen (Gemini for asset generation).
- 5
Day 5 — Store assets
Generate 6-8 screenshots using a real device, not emulator. Write the Play Store listing (short + long description, feature graphic). Draft the privacy policy from a template and host it on your site.
- 6
Day 6 — Submit & iterate
Upload signed AAB, fill out the Data Safety form honestly, set content rating, submit for review. Expected review time: 1-3 days. Use the wait to polish onboarding.
- 7
Day 7 — Launch & measure
App goes live. Post on relevant subreddits and social. Install Firebase or Play Console vitals. Start the feedback loop: first 10 users tell you what version 2 must do.
Why 7 days is the right constraint
A week is long enough to build something real and short enough that scope creep can't set in. Most app ideas that take longer than a week either deserve more design thought upfront, or are trying to be three apps at once.
The rule: if you can't describe the MVP in one sentence, you don't have an MVP.
When to deviate
If day 3 reveals that the data model is wrong, stop and redesign — don't plow through. One good day of rework beats four days of fighting broken architecture. The playbook is a default, not a contract.
