services / vibe-code-rescue

AI-Built App Rescue for mobile-first apps: The cyber security Founder Playbook for a SaaS founder preparing for paid acquisition.

Your app is probably working well enough to demo, but not well enough to buy traffic into.

AI-Built App Rescue for mobile-first apps: The cyber security Founder Playbook for a SaaS founder preparing for paid acquisition

Your app is probably working well enough to demo, but not well enough to buy traffic into.

That is the real problem. If you start paid acquisition with exposed keys, weak auth, open endpoints, bad CORS, or broken error handling, you do not just get a few bugs. You get wasted ad spend, support tickets, bad reviews, app store friction, and a product that leaks trust right when strangers are deciding whether to pay you.

What This Sprint Actually Fixes

I use it when a founder needs security audit work, critical fixes, production redeploy, and a handover report before spending on paid acquisition.

In plain English, I go through the app like an attacker and like a customer. I look for exposed keys, open endpoints, broken auth middleware, missing input validation, unsafe CORS settings, weak database rules, slow queries, poor logging, and error paths that will break onboarding or payment flows under real traffic.

If your app was assembled in Lovable or Bolt and then stitched together with manual code from Cursor or v0 components, that is exactly where this sprint helps. Those tools can get you to a prototype fast. They do not guarantee least-privilege access control, safe environment separation, or production-grade observability.

The goal is not cosmetic cleanup. The goal is to reduce launch risk before your first serious acquisition test.

The Production Risks I Look For

I focus on risks that can cost you money fast once paid traffic starts hitting the app.

1. Exposed secrets and API keys I check for keys in client code, build output, logs, repo history, and misconfigured env files. One leaked Stripe key or third-party token can create fraud risk or unexpected billing exposure within hours.

2. Broken auth middleware and weak authorization A lot of AI-built apps verify login but fail at role checks or resource ownership checks. That means users can sometimes see data they should not see, which turns into a trust problem and sometimes a legal one.

3. Open endpoints and unsafe CORS If your API accepts requests from anywhere or allows overly broad origins, you increase the chance of abuse and data leakage. On mobile-first products this often shows up as public endpoints that were never meant to be public.

4. Missing input validation and bad error handling Bad inputs should fail cleanly. If they crash the flow or expose stack traces, you create support load and make debugging harder while also giving attackers more information than they need.

5. Weak database rules and missing indexes Mobile apps usually feel slow first at signup, feed loading, search, or sync screens. If your query patterns are unindexed or your row-level rules are loose, paid traffic will reveal both performance issues and access-control gaps at the same time.

6. Poor logging and no Sentry coverage If errors are happening but you cannot trace them by user action or endpoint path, you are flying blind. I want to see useful logs without sensitive data exposure and enough Sentry signal to catch regressions before customers do.

7. AI tool red-team gaps If your app includes an AI assistant or uses AI-generated content flows from Lovable-style builds or custom prompts in Cursor workflows, I test prompt injection attempts and data exfiltration paths. A model that can be tricked into revealing internal data becomes a business liability very quickly.

The Sprint Plan

I keep this tight because founders need decisions fast. My default delivery window is 5-7 days.

Day 1: Audit the attack surface I inventory exposed keys, public routes, auth flows, storage rules, environment separation problems, third-party scripts, and any obvious mobile-first bottlenecks.

I also map the highest-risk user journeys: signup, login, password reset if applicable, subscription checkout if applicable, core action flow inside the app dashboard or mobile screens.

Day 2: Fix access control and input safety I patch auth middleware issues first because those are the most expensive failures to ignore.

Then I tighten input validation on API routes and form submissions so malformed requests fail safely instead of reaching business logic or database writes.

Day 3: Lock down network and data rules I review CORS policies and database rules together because fixing one without the other often gives founders false confidence.

If there are open endpoints that should require authentication or signed access tokens only in specific cases such as upload URLs or webhook handlers after verification - I close them down properly.

Day 4: Improve performance where security meets conversion I inspect slow queries with p95 behavior in mind because acquisition traffic punishes slow onboarding hard.

If signup takes 4-6 seconds on mobile networks today and we can cut it closer to 1-2 seconds by adding indexes or reducing overfetching - that becomes both a UX win and a conversion win.

Day 5: Add observability and regression protection I wire in Sentry where it matters most: auth failures over time too many 500s on key routes failed webhook handling client-side crashes on mobile devices if relevant.

Then I run regression checks against the critical paths so we do not fix security by breaking onboarding or checkout.

Day 6-7: Redeploy and handover I push to production with environment separation verified so dev secrets do not bleed into live systems.

Then I write the handover report with exact findings fixes remaining risks deployment notes monitoring guidance and next-step recommendations for acquisition readiness.

What You Get at Handover

You should leave this sprint with concrete artifacts you can act on immediately:

  • Security audit summary ranked by severity
  • Exposed key audit results
  • Open endpoint review
  • Auth middleware fixes documented
  • Input validation updates
  • CORS policy changes
  • Database rule review
  • Index recommendations applied where needed
  • Query performance notes with before/after impact
  • Error handling cleanup
  • Logging improvements
  • Sentry configured for key failure points
  • Regression check list for core flows
  • Production redeploy completed
  • Environment separation verified
  • Monitoring checklist for launch week
  • Handover document written in founder-friendly language

If useful I also leave a short decision log so your team knows what changed why it changed and what should be watched during the first 72 hours after launch traffic starts hitting the app.

For founders who want me to assess fit first rather than guess from a checklist alone - book a discovery call at https://cal.com/cyprian-aarons/discovery.

When You Should Not Buy This

Do not buy this sprint if you are still changing product direction every day. Security work only sticks when the core user flow is stable enough to audit against real behavior.

Do not buy this if your app has no deploy pipeline at all and nobody owns hosting access domain access analytics access or store credentials yet. In that case I would start with an operational setup sprint first because otherwise we waste time fixing code we cannot safely release.

Do not buy this if your biggest issue is pure product-market fit uncertainty rather than launch risk. If users have not even reached consistent activation yet then an expensive security pass may be premature unless there is clear exposure already visible in production-like usage.

A good DIY alternative is this:

1. Freeze new features for 48 hours. 2. Review every secret in env files repo history CI logs and client bundles. 3. Test login signup reset payment webhook and upload flows manually on iPhone Android web. 4. Check CORS allowed origins. 5. Verify every protected route requires auth. 6. Add Sentry. 7. Run one staging deploy before touching production again. 8. Re-test after deploy with one real device per platform.

That gets you partway there if budget is tight but it will not replace a senior audit when real ad spend is about to start flowing into the product.

Founder Decision Checklist

Answer these yes/no questions honestly:

1. Do any API keys live in client-side code? 2. Can an unauthenticated user hit any endpoint that changes data? 3. Are protected screens blocked by middleware rather than just hidden in the UI? 4. Do login signup reset checkout or upload flows have clean error states? 5. Have you checked CORS beyond "it works on my machine"? 6. Are database rules enforcing ownership by user org or tenant? 7. Do slow screens already take more than 2 seconds on mobile? 8. Can you see errors in Sentry with enough detail to act on them? 9. Did your last deploy go out without staging verification? 10. Would paid traffic expose bugs faster than your current support process can handle?

If you answered yes to any of questions 1 through 9 then you likely have launch risk worth fixing before acquisition spend increases traffic volume.

References

  • https://roadmap.sh/cyber-security
  • https://roadmap.sh/api-security-best-practices
  • https://roadmap.sh/qa
  • https://owasp.org/www-project-top-ten/
  • https://docs.sentry.io/

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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.*

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About the author

Cyprian Tinashe AaronsSenior Full Stack & AI Engineer

Cyprian helps founders rescue, secure, deploy, and automate AI-built apps with production-grade engineering, launch systems, and AI integration.