App Store & Play Store Deployment for AI tool startups: The code review Founder Playbook for a founder with a Lovable or Bolt prototype that works locally but is not production-ready.

App Store and Play Store Deployment for AI tool startups: The code review Founder Playbook for a founder with a Lovable or Bolt prototype that works locally but is not production-ready

Your app works on your laptop. Maybe it even works on your phone through Expo, a local tunnel, or a test build. But it is not in TestFlight, not in Play Console, not signed correctly, and not ready for review.

If you ignore that gap, the business cost is simple: launch delay, broken onboarding, failed app review, support load from install issues, and wasted ad spend on traffic you cannot convert into installs or activated users. For an AI tool startup, that usually means you keep demoing a product instead of shipping one.

What This Sprint Actually Fixes

Delivery: 3-5 days.

I take the app from "works locally" to "can be reviewed and installed by real users." That includes Apple Developer account setup, Google Play Console setup, provisioning profiles, signing keys, production IPA and AAB builds, TestFlight distribution, internal testing tracks, store listings, screenshots guidance, app review submission, rejection handling, and an OTA update pipeline where your stack supports it.

This is not a redesign sprint and not a feature sprint. It is a production-readiness sprint focused on release mechanics: code review risk reduction, build reliability, store compliance, and fewer surprises at review time.

If you want me to look at the app first and tell you what will break before you pay for launch work, book a discovery call at https://cal.com/cyprian-aarons/discovery.

The Production Risks I Look For

When I review these prototypes, I am not hunting for style issues first. I am looking for the things that cause failed submissions, security exposure, or bad first-run conversion.

1. Missing signing and environment separation

A lot of AI-built prototypes hardcode dev settings or depend on local environment variables that never got mapped into staging and production. That creates broken builds, accidental secret exposure, or an app that points at the wrong backend after release.

2. Weak auth flows and token handling

I check whether login tokens are stored safely on device, whether refresh flows are handled correctly, and whether session expiry fails gracefully. If auth breaks on first launch or after backgrounding the app twice in a row, users will churn before activation.

3. Unsafe API usage from generated code

Lovable and Bolt can produce working UI quickly, but generated code often calls APIs without rate limits, input validation hooks, or error boundaries. In business terms: one bad payload can crash a screen loop or create noisy support tickets during launch week.

4. Review-blocking UX gaps

Apple and Google do reject apps for incomplete onboarding paths, placeholder screens, dead buttons, missing privacy disclosures, or flows that only work with seeded data. I test empty states, loading states, error states, permission prompts, and the "no account yet" path because those are the paths reviewers hit first.

5. Performance traps from prototype architecture

AI-generated frontends often ship too much JavaScript or too many third-party scripts. On mobile this shows up as slow first paint, janky transitions, poor INP-like interaction delay patterns inside WebView-based wrappers or hybrid stacks like React Native plus embedded web views.

6. AI feature risk: prompt injection and unsafe tool use

If your startup includes an AI assistant inside the app or connected tools like email sending or file actions open to user prompts then I red-team the flow. I look for prompt injection attempts that can exfiltrate data from context windows or trigger unsafe actions without human confirmation.

7. Store metadata mismatch

A surprising number of launches fail because screenshots do not match actual UI states or privacy labels do not match data collection behavior. That is a code review issue as much as a marketing issue because it reflects whether the shipped product matches what the code actually does.

The Sprint Plan

Day 1: Code review and release audit

I start by reviewing the repo like I would any production handoff. I check build scripts,, dependency health,, auth flow,, config separation,, crash points,, permissions,, analytics hooks,, and anything likely to block store approval.

I also map the current product against Apple and Google requirements so we do not waste time polishing features that still fail basic compliance checks.

Day 2: Build stabilization and signing

Next I get the app building cleanly for production targets. That usually means fixing signing assets,, provisioning profiles,, bundle identifiers,, versioning,, environment variables,, and any native config issues if you used React Native or Flutter.

If you built in Lovable or Bolt and exported into another stack later,, this is where I clean up mismatched assumptions between generated UI code and actual deploy settings.

Day 3: Store readiness and test distribution

I prepare TestFlight builds and internal testing tracks in Play Console. I also verify install flow,, device compatibility,, permissions prompts,, login behavior,, crash-free startup,, and whether your onboarding actually survives fresh install conditions.

At this stage I also prepare store listing inputs:, screenshots guidance,, app name consistency,, description alignment,, privacy disclosures,, support links,, and version notes so submission does not stall on admin details.

Day 4: Submission prep and rejection-proofing

I submit both builds when accounts are ready and the app meets baseline checks. Before submission I run a rejection-focused pass:, missing account deletion path if required,, broken demo credentials if reviewers need them,,, unclear AI disclosure,,, weak content moderation notes,,, or misleading claims in the listing copy.

If there is an issue likely to trigger rejection,,, I fix it before Apple or Google tells us to wait another 24-72 hours for another round trip.

Day 5: Review handling and OTA update path

If review feedback comes back,,, I handle resubmission language,,, patch any blocking issue,,, and keep momentum moving until approval lands.

Then I set up the update path your stack supports so small fixes do not require another full fire drill. For some apps this means OTA updates through Expo; for others it means clear release discipline through App Store Connect and Play Console with proper versioning plus CI-based build automation.

What You Get at Handover

You are not just getting "it submitted." You are getting release assets you can use again without guessing.

• Apple Developer account configured correctly
• Google Play Console configured correctly
• Production signing keys or documented key custody plan
• Provisioning profiles set up
• Signed IPA build ready for TestFlight
• Signed AAB build ready for Play Console
• Internal testing track configured
• Store listing copy checklist
• Screenshot requirements mapped
• Review submission completed where possible
• Rejection handling notes if needed
• OTA update pipeline documented where supported
• Release checklist for future versions
• Short handover doc covering what was changed,

what remains risky, and what to watch in analytics after launch

I also leave you with practical acceptance criteria so your next engineer does not have to rediscover the same deployment problems under deadline pressure.

When You Should Not Buy This

Do not buy this sprint if your core product logic is still changing every day. If you have no stable onboarding flow,, no confirmed target user,,, no backend API contract,,, or no decision on whether mobile should even be native versus web-first,,, deployment work will just expose deeper product uncertainty faster.

Do not buy this if you need major feature development across auth,,,, payments,,,, chat,,,, admin panels,,,, analytics,,,, or multi-role permissions before launch. That is a different engagement.

The DIY alternative is straightforward if you want to handle it yourself:, freeze features for 48 hours,,,, read through Apple App Store Review Guidelines,,,, confirm Google Play policy fit,,,, create release builds locally,,,, test fresh installs on two devices,,,, then submit only after one person outside your team can complete signup without help., If you cannot get through that checklist cleanly,,,, hire me later rather than shipping noise now.

Founder Decision Checklist

Answer yes or no before you spend another week tweaking the prototype:

1. Does the app build cleanly outside your laptop? 2. Do you have production Apple Developer access? 3. Do you have Google Play Console access? 4. Are signing keys/profiles handled safely? 5. Can a new user complete onboarding without founder help? 6. Are loading states,,,, empty states,,,, and error states implemented? 7. Does login survive app restart,bg/foreground changes,and token expiry? 8. Have you tested at least one fresh install on iPhone and Android? 9. Are privacy disclosures aligned with actual data collection? 10.Are there no placeholder screens,dummy buttons,and dead links in release paths?

If you answered "no" to three or more items,,, do not treat launch as a marketing task yet., Treat it as code review plus release engineering first.

References

• https://roadmap.sh/code-review-best-practices
• https://developer.apple.com/app-store/review/guidelines/
• https://support.google.com/googleplay/android-developer/answer/9859152?hl=en
• https://docs.expo.dev/deploy/builds/
• https://developer.apple.com/help/app-store-connect/manage-builds/upload-builds/overview-of-uploading-a-build/

---

Take the next step

If this is a problem in your product right now, here is what to do next:

• [Use the free Cyprian tools](/tools) - estimate cost, score app risk, check launch readiness, or pick the right service sprint.

• [Book a discovery call](/contact) - I will tell you honestly whether you need a sprint or if you can DIY the next step.

*Written by Cyprian Tinashe Aarons - senior full-stack and AI engineer helping founders rescue, launch, automate, and scale AI-built products.*