AI Codebase Audit for Lovable, Bolt, Replit, and Cursor apps
You shipped fast with AI. Now get a fixed-scope audit that shows what is risky, what can wait, and what it will take to make the codebase safer for real users.
Sound familiar?
- • You built something with Lovable, Bolt, or Replit. It works, but you do not want to touch it because you do not fully trust what is underneath.
- • You tried to hire a developer to help, but the codebase looked too risky or too messy to move forward confidently.
- • There are hardcoded secrets, no tests, poor error handling, and no clear way to tell when something breaks.
- • You are getting real users, but you are not confident the app can handle them safely or at scale.
This is what happens when you build fast with AI tools. The app works. The code underneath is unclear, fragile, or risky. The audit gives you a concrete map before cleanup work starts.
45% of AI-generated apps have security vulnerabilities. Most founders find out after a breach, not before. — Veracode GenAI Code Security Report 2026
What the audit covers
This starts as a productized audit, not an open-ended consulting engagement. I review the codebase, identify the real risks, and deliver a prioritized plan so you know whether the app needs cleanup, hardening, or a larger rebuild path.
What's Included
- • Architecture review - where the codebase structure helps, where it slows the team down, and where fragility is hiding
- • Technical debt assessment - what needs immediate attention, what can wait, and what only looks messy
- • Security review - secrets, auth logic, input validation, and risky defaults checked first
- • Refactoring roadmap - what to clean up now, what to defer, and how to reduce risk without overcorrecting
- • Delivery risk assessment - the operational view of how likely the current setup is to break, stall, or block handoff
- • Next-step recommendation - cleanup phase, hardening phase, or larger rebuild if the current system is not worth stabilizing
Signs your app needs cleaning
What gets decided here
Which parts of the codebase are risky now, and which parts only look messy but can wait.
Whether the app needs cleanup, hardening, or a larger rebuild path.
What the next developer or team needs in place to keep building without fear.
How to reduce delivery risk without turning the cleanup itself into a months-long rewrite project.
Process
Audit
I review the full codebase and deliver a written report: what is risky, what is blocking delivery, what can stay, and what needs to change.
Decide
You get a clear recommendation: cleanup, hardening, or rebuild. The goal is to reduce uncertainty before more money or engineering time gets committed.
Execute
If there is a fit for phase two, I can implement the cleanup plan. If not, you still leave with a roadmap the next developer can use.
Deliverables & timeline
- Within 2 business days: audit report with prioritized risk list and fix plan
- Included: architecture review, technical debt assessment, security review, and refactoring roadmap
- Decision point: cleanup, hardening, or rebuild path recommendation
- Optional phase two: implementation support for the highest-priority fixes
Typical engagement: 2 business days for the audit, then 1-3 weeks if a cleanup phase follows.
Selected work and related proof
Replit to production
I documented how to take an early Replit-built app and move it toward a production-ready setup with cleaner structure, safer deployment, and a more stable foundation.
Outcome: clearer architecture, safer deployment, and a more realistic path from prototype to something a team can keep building on.
Read the breakdownTypical cleanup outcomes
- Secrets moved out of the codebase and risky defaults removed
- Core workflows stabilized with better error handling and tests
- Codebase cleaned up enough for handoff, hiring, or ongoing feature work
Related services and resources
The non-technical founder's guide to costs, process, and what to ask before hiring.
A founder-friendly self-check before you jump into an audit or cleanup.
See what production hardening looks like in practice on an early-stage app.
If the main challenge is architecture, sequencing, or product-direction decisions.
If the app needs a larger rebuild path or a cleaner first product rather than a narrow cleanup.