Codebase Rescue for AI-built apps
Regain control of your codebase.
AI helped you build fast. Now I help you clean up the mess, understand what you actually own, and scale more safely.
I teach founders what AI changed, where the gotchas and side effects are, what is good, what is risky, and what to improve or fix first so the prototype can become a healthier product.
AI-built confusion
Mert's review
founder control
goal: restore coherence, then scale safely
Your app works... until you touch it.
- The AI says it fixed the bug, but the bug comes back.
- A simple change breaks three unrelated screens.
- Your prompts keep getting longer, but the answers get worse.
- You do not know which files matter anymore.
- You are burning tokens on the same issue again and again.
before
- Unclear AI changes
- Hidden side effects
- Unknown feature flow
- Lost coherence
- Fragile deployment path
after
- Coherent app map
- Gotchas documented
- Risky parts explained
- Clearer build path
- Plain-English notes
rescue options
Choose how you want to regain control.
Learn how your app works, fix the urgent issue, move a Lovable project into a real workflow, or keep building with an engineer watching the structure.
pass 01
Teach Me My App
For founders who want the app explained back to them as one coherent system so they can keep building with more confidence.
- guided codebase walkthrough
- important files and flows
- what AI changed
- side effects to watch
- good patterns worth keeping
- prompting guidance for safer changes
pass 02
AI App Bug Fixing
For urgent bugs, broken flows, regressions, deployment problems, Firebase/Supabase errors, and AI-created weirdness.
- reproduce the issue
- inspect logs and config
- trace the failing flow
- fix the root cause
- explain what changed
- watch for side effects
pass 03
Lovable Rescue
For Lovable apps that grew past the just-prompt-it stage and need clearer ownership, GitHub, deployment, or off-Lovable planning.
- Lovable project review
- GitHub setup
- local development setup
- environment variables
- Supabase/Firebase review
- deployment clarity
- off-Lovable migration path
pass 04
Ongoing AI Build Partner
For founders who want to keep building with AI, but want a real engineer watching the structure before the mess piles up.
- architecture supervision
- cleanup before problems compound
- AI workflow guidance
- safer feature planning
- ongoing technical support
tools and breakpoints
Built with Lovable, Cursor, Claude Code, Codex, Bolt, or Replit?
The tool matters, but the real risk usually sits in unclear code, hidden side effects, deployment setup, data model assumptions, and the workflow around it.
situation 01
Lovable app past the prompt box
The app works, but GitHub, deployment, data, and off-Lovable migration decisions are unclear.
situation 02
Cursor-built MVP with hidden logic
The AI solved product requests quickly, but now important behavior lives in places nobody remembers.
situation 03
Firebase or Supabase setup that feels risky
Local works, production is unclear, and database rules, env vars, or deployment settings need a real map.
how it works
Start with understanding. Then change the right things.
You do not need another prompt before you know what the app is doing. You need someone to open the repo, map the important flows, and explain what is actually happening.
Book the consultation
You bring the current state of the app, the AI tools involved, the confusing part, and the outcome you need.
I map how the app works
I look at the code, dependencies, database, deployment, logs, AI-generated patterns, good parts, gotchas, coherence gaps, and risky areas.
You get the plain-English version
I explain how the important flows work, what AI changed, what has side effects, what is good, and what should happen first.
We choose the healthiest next moves
That may mean restoring coherence in a messy flow, fixing a bug, cleaning fragile logic, planning a Lovable migration, or changing how you prompt before more complexity piles up.
founder credibility
Founder-engineer, not a random bug fixer.
I have built and shipped real products, not just cleaned up code in isolation. I have worked as a Mobile Software Engineer at Credit Karma and other Silicon Valley startups, founded Communicat, eStadium, and Rated10, and built products across React, React Native, iOS, Android, Flutter, Firebase, TypeScript, Cloud Functions, mobile apps, web apps, marketplace logic, subscriptions, AI workflows, and real product architecture.
I understand both sides of the mess: the speed founders want, and the engineering discipline needed when the prototype starts becoming a product.
faq
Questions founders ask before they keep prompting.
It is a founder-engineer service that helps you understand, control, clean up, migrate, and safely keep building apps created quickly with AI coding tools.
next step
Start with a free consultation.
Use the first call to explain what you built, what no longer feels coherent, and where you need clearer control before the next feature, fix, migration, or prompt.