services / vibe-code-rescue

AI-Built App Rescue for marketplace products: The cyber security Founder Playbook for a bootstrapped SaaS founder trying to launch without hiring a full agency.

You built the marketplace product fast, probably with Lovable, Bolt, Cursor, v0, or a similar stack. The app works in your browser, but you know there are...

AI-Built App Rescue for marketplace products: The cyber security Founder Playbook for a bootstrapped SaaS founder trying to launch without hiring a full agency

You built the marketplace product fast, probably with Lovable, Bolt, Cursor, v0, or a similar stack. The app works in your browser, but you know there are holes: exposed keys, weak auth, open endpoints, messy database rules, and no clear idea whether a buyer can see another seller's data.

If you ship like that, the cost is not theoretical. You risk leaked customer data, broken checkout or onboarding, app store rejection if mobile is involved, support tickets from failed logins and weird errors, and ad spend wasted on traffic sent into a product that cannot safely convert.

What This Sprint Actually Fixes

I do not try to redesign your whole business. I focus on the problems that stop launch or create real security and revenue risk.

This is the right fit if you have:

  • A working prototype built in Lovable, Bolt, Cursor, v0, Webflow plus backend glue, or a React Native / Flutter shell.
  • Marketplace logic with buyers, sellers, listings, bookings, messages, subscriptions, payouts, or gated content.
  • A launch deadline and no appetite for hiring a full agency team.

The goal is simple:

  • Close the obvious security gaps.
  • Stabilize the flows users actually touch.
  • Make sure the app can be deployed without embarrassing failures.
  • Give you a clean handover so you can keep moving without guessing.

The Production Risks I Look For

For marketplace products, I start with cyber security because one bad access control bug can expose private listings, user profiles, order history, or payout data across accounts.

Here are the risks I check first:

1. Exposed API keys and secrets AI-built apps often ship with keys in frontend code, public env files, or misconfigured deployment settings. If those leak, attackers can abuse third-party services and run up costs or extract data.

2. Broken auth middleware I check whether routes are actually protected server-side. A login screen means nothing if someone can hit an endpoint directly and pull another user's records.

3. Open endpoints with missing authorization Marketplace apps often expose listing search, profile lookup, chat history, admin actions, or upload URLs without checking ownership. That creates cross-account data exposure fast.

4. Weak input validation If forms accept raw payloads from buyers or sellers without validation and sanitization, you get bad records at best and injection-style issues at worst. In marketplace flows this also breaks search filters and pricing logic.

5. CORS mistakes and unsafe browser access Bad CORS settings can let the wrong origin call sensitive APIs. That matters when your frontend was stitched together quickly across multiple domains or preview URLs.

6. Database rules and query performance gaps In Supabase-style stacks or custom backends alike, poor row-level rules can expose too much data. Slow queries also hit conversion because marketplace pages feel broken under load.

7. Missing error handling and observability If signup fails silently or checkout errors are swallowed by the UI layer in Cursor-generated code, you lose users before they ever reach activation. Without Sentry and logs you cannot tell whether it is one bug or ten.

I also look at AI-red-team style failure modes where relevant:

  • Prompt injection through user-generated listing content or support chat.
  • Data exfiltration through tool-connected workflows.
  • Unsafe admin actions triggered by malformed inputs.
  • Model outputs leaking private marketplace data into public views.

My rule is blunt: if a buyer can reach seller-only data in one request path too many, the product is not ready to launch.

The Sprint Plan

I keep this sprint tight so you get movement inside 5-7 days instead of an endless backlog review.

Day 1: Triage and threat scan I map the app architecture first: frontend routes, backend endpoints, auth flow, database model, file storage paths, deployment setup, env vars, monitoring gaps. Then I identify what could leak data or break launch within 24 hours of going live.

I usually find the highest-risk issues here:

  • Public endpoints returning private records.
  • Missing server-side permission checks.
  • Secrets exposed in client bundles or repo history.
  • Broken redirect logic after login.
  • Duplicate writes or bad webhook handling in marketplace transactions.

Day 2: Security fixes I patch auth middleware first because access control failures are business-ending bugs.

Then I handle:

  • Input validation on forms and API routes.
  • CORS restrictions to approved domains only.
  • Database rules for buyer/seller separation.
  • Least-privilege service account setup where needed.
  • Safe file upload checks if users post images or documents.

Day 3: Reliability and performance cleanup I fix error handling so failed requests fail cleanly instead of creating ghost states in your product.

Then I review:

  • Query plans and slow endpoints.
  • Missing indexes on common marketplace filters like category,

location, status, and owner_id.

  • Logging structure so production errors are traceable.
  • Sentry wiring for frontend and backend exceptions.

If p95 latency on key marketplace pages is over 800ms before caching or indexing work begins, that is usually where conversion starts to suffer on mobile networks.

Day 4: Regression checks I run focused tests around your money paths:

  • Signup/login/logout.
  • Create listing.
  • Search/filter listings.
  • Buy/book/submit lead flow.
  • Seller dashboard permissions.
  • Admin-only actions.

For early-stage products I want at least 80 percent coverage on the touched critical paths after the rescue sprint. Not every line of code needs tests right now; the risky paths do.

Day 5: Redeploy and environment separation I redeploy with proper separation between dev, staging, and production environments so preview work does not pollute live data.

This includes:

  • Production env vars locked down.
  • Preview build safety checks.
  • Monitoring alerts turned on.
  • Error reporting verified in live mode only where appropriate.

If needed I will also clean up deployment config for tools like Vercel, Supabase, Firebase, or a custom Node backend so your next push does not undo the fix work.

Day 6 to 7: Handover report I document what changed, what remains risky, and what should be tackled next if you want more scale or better conversion later. If there are unresolved product decisions, I flag them clearly instead of burying them in technical jargon.

If you want me to assess whether your current build is salvageable before committing to a sprint, book a discovery call at https://cal.com/cyprian-aarons/discovery.

What You Get at Handover

You should not pay for rescue work and then end up with vague reassurance. I hand over concrete artifacts so you know exactly what is safe to ship now.

You get:

  • Security audit notes with prioritized findings.
  • List of exposed keys,

open endpoints, and permission issues fixed.

  • Auth middleware updates applied to sensitive routes.
  • Input validation changes on critical forms and APIs.
  • CORS policy review and corrected config where needed.
  • Database rule fixes plus index recommendations already implemented where practical.
  • Query performance notes for slow marketplace pages.
  • Error handling improvements across key user flows.
  • Sentry setup or cleanup with verified alerts.
  • Regression test checklist for launch-critical paths.
  • Redeployed production build with environment separation checked.

- Documentation covering how to maintain it without breaking access control again.

If your stack allows it, I also leave behind:

  • A short admin-safe operations note for future changes.
  • A list of remaining non-blockers ranked by impact on revenue and risk.
  • A clean rollback path if something fails after release.

When You Should Not Buy This

This sprint is not right for every founder. I would tell you not to buy it if any of these are true:

| Situation | Why this sprint is not enough | | --- | --- | | You have no working product yet | There is nothing meaningful to secure or rescue | | Your app needs full product strategy work | This sprint fixes production risk; it does not define your whole roadmap | | You want a full redesign only | That is a UX project first | | Your codebase is intentionally temporary throwaway code | Hardening throwaway code wastes money | | You need long-term DevOps ownership | You need ongoing engineering support after launch |

DIY alternative if budget is extremely tight: 1. Freeze new features for 48 hours. 2. Audit all secrets in repo, frontend bundles, and deployment dashboards. 3. Lock down auth checks on every protected route server-side only. 4. Add input validation on all public forms and API endpoints using one schema library consistently. 5. Restrict CORS to exact known domains only. 6. Add logging plus Sentry before shipping anything else. 7. Run one regression pass on signup, listing creation, search, and payment-related flows.

That gets you safer than most AI-built prototypes already are. But if your product handles real user accounts, payments, or private seller data, I would still choose a focused rescue sprint over piecemeal fixes spread across weekends because half-fixes create false confidence.

Founder Decision Checklist

Answer yes or no:

1. Can any logged-out user hit an endpoint that returns private marketplace data? 2. Are there secrets visible in frontend code, repo history, or preview deployments? 3. Do buyer and seller accounts share any database table without strict row-level rules? 4. Can a user see another user's listing drafts, orders, messages, or payouts? 5. Do critical forms accept raw input without validation? 6. Is CORS currently wider than your real production domains? 7. Do failed requests show useful errors in Sentry or logs? 8. Have you tested signup, login, listing creation, search/filtering, and checkout/bookings since the last deploy? 9. Are dev/staging/prod environments separated cleanly? 10. Would one security incident delay launch by more than two weeks?

If you answered yes to any of questions 1 through 4, you should treat this as urgent rather than optional.

References

1. Roadmap.sh - Cyber Security Best Practices: https://roadmap.sh/cyber-security 2. OWASP Top 10: https://owasp.org/www-project-top-ten/ 3. OWASP ASVS: https://owasp.org/www-project-web-security-testing-guide/ 4. MDN Web Docs - CORS: https://developer.mozilla.org/en-US/docs/Web/HTTP/CORS 5. Sentry Docs: 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.