01
Risk-ranked codebase audit report
Prioritized findings from the agreed review areas, with code references, reproduction steps where applicable, and explicit limitations.
Service 01
AI Code Rescue: vibe coding cleanup for apps built with Cursor, Lovable, Bolt, v0, and Replit
Fix AI-generated and vibe-coded software before it breaks production.
AI code rescue is the engineering process of auditing, stabilizing, securing, and productionizing software built quickly with AI tools or vibe coding. Aatvi reviews the architecture, auth, dependencies, data handling, tests, deployment path, and operational risks before recommending a focused rescue or rebuild plan.
AI Code Rescue Audit
One agreed application and repository, covering up to three agreed critical user flows. Codebase size, stack, integrations and access determine the final review boundaries.
Paid, fixed-scope assessment. We agree a fixed fee and schedule after a free fit and scope discussion, before work starts. Implementation is quoted separately.
Your deliverables
- A record of the agreed scope, reviewed areas and limitations
- Prioritized findings with code references and reproduction steps where applicable
- A remediation plan your team can use, including questions requiring further investigation
- A walkthrough of the findings and next steps
Implementation, active penetration testing and certification are outside this audit. A review does not guarantee that every defect has been found.
- Remediation sprint
- A separate fixed-scope proposal based on selected findings, with acceptance checks and handover.
- Engineering retainer
- Reserved monthly engineering capacity. Hours, priorities, fee and response expectations are agreed before the retainer starts.
Security review for auth bypasses, leaked secrets, permissive database rules, and unvalidated AI inputs.
Dependency and supply-chain audits for hallucinated packages, stale libraries, and brittle configurations.
Production readiness review across tests, observability, edge deployment, performance, and operational ownership.
What this includes
Vibe coding cleanup as a service: what you get
The audit records evidence and priorities within the agreed review scope. Implementation and verification of fixes belong to a separately scoped remediation engagement.
02
Remediation plan and findings walkthrough
Recommended next steps, launch risks, deferred work and questions needing further investigation, discussed with your team.
03
Rescue vs rebuild verdict
An assessment of whether to stabilize, refactor or rebuild the reviewed areas, including uncertainties and any further discovery needed.
04
Optional remediation sprint, quoted separately
After the audit, agree selected fixes, acceptance checks, implementation scope and handover in a separate proposal.
Risk reduction
Vibe coded app security questions worth reviewing
These are review areas to consider when moving quickly with AI coding tools. Their relevance and severity depend on the application; they are not findings about your code.
Vibe-coded app security vulnerabilities
We check the agreed flows for authorization boundaries, database access policies, rate limits, input validation and credential handling.
Hallucinated and risky dependencies
AI generators can import phantom packages, insecure dependencies, or conflicting library versions that jeopardize production.
Unowned and unmaintainable architecture
Unclear data structures and ownership can make a working prototype difficult to debug, extend or operate. We assess those boundaries within the agreed scope.
Audit scope
Core codebase audit checklist: what we inspect
A menu of review questions used to agree the audit scope. The initial package covers selected critical flows; a wider review requires its own scope.
Authorization & Access Controls
- Row-level security (RLS) policies on Supabase / PostgreSQL tables
- Server-side session validation on all mutation endpoints
- Client-side permission bypass and role spoofing prevention
- Safe authentication token storage and rotation lifecycle
Secrets & API Security
- Detection of exposed API keys in client-side bundles
- Third-party webhook signature and replay verification
- Granular database and cloud credential permission scopes
- Rate limiting on LLM proxy routes and public endpoints
Data Integrity & Validation
- Strict runtime schema validation on all inputs (Zod / TypeScript)
- Multi-tenant data isolation and cross-tenant leak prevention
- Cascade delete integrity and prevention of orphaned records
- Protection against prompt injection and unstructured AI outputs
Dependencies & Supply Chain
- Audit for hallucinated or non-existent npm/pip packages
- CVE scanning on third-party libraries and transitive dependencies
- Removal of unmaintained or obsolete AI generation wrappers
- Compatibility verification with edge runtimes (Cloudflare Workers)
Production Operations & Tests
- Regression test coverage for revenue-critical business journeys
- Structured error logging and observability telemetry
- Graceful fallback handling for upstream LLM latency and outages
- Reproducible build pipelines and automated rollback strategies
Field guides
Read the supporting playbooks.
Process
How Aatvi delivers code rescue.
Triage
We review repository access, build configs, AI builder tools used (Lovable, Bolt, Cursor, etc.), data sensitivity, and launch goals.
Audit
We inspect code structure, authentication, database security, dependencies, tests, performance bottlenecks, and edge deployment.
Prioritize
Findings are categorized into launch blockers, high-priority stability improvements, and deferred post-release refinements.
Stabilize
When engaged, we execute a focused engineering sprint to resolve critical vulnerabilities and establish safe operating standards.
Who this is for
A founder has a vibe-coded MVP that works in demo mode but is not safe or scalable for paying users.
A product team inherited a fast AI-built prototype from Lovable, Bolt, Cursor, or v0 and needs senior review.
Technical due diligence on an AI-generated codebase: investors, buyers, and CTOs needing an objective rescue-vs-rebuild verdict.
An engineering team wants to preserve rapid AI prototyping speed while adding production-grade guardrails.
Who this is not for
Projects looking for a quick cosmetic pass while auth, secrets, and architecture flaws remain unaddressed.
Teams unwilling to share repository access, deployment configs, or incident history required for a true audit.
Early concept work that requires basic product definition before any technical audit would provide value.
Comparison
How this differs from a generic service engagement.
Concern
Generic approach
Aatvi approach
Goal
Run an automated linter and generate a generic checklist.
Investigate risks in the agreed scope and propose a prioritized remediation plan.
Review depth
Focus on superficial code style and basic syntax checks.
Review architecture, auth, row-level security, dependency supply chain, tests, and deployment reliability.
Outcome
Hand over an unprioritized issue list and exit.
Deliver prioritized recommendations and a findings walkthrough. Hands-on remediation is quoted separately.
Frequently asked
Common questions about code rescue.
Is AI code rescue the same as vibe coding cleanup?
The terms overlap: both describe reviewing and improving software built rapidly with AI tools. Aatvi's entry offer is a paid, scoped AI Code Rescue Audit. Any subsequent stabilization or implementation is agreed and quoted separately.
Do you clean up apps built with Lovable, Bolt, v0, Replit, or Cursor?
Yes. We audit and harden apps built with tools such as Cursor, Claude Code, Lovable, Bolt, v0, Replit, and ChatGPT, addressing authentication, secrets handling, database rules, input validation, and production readiness.
How do you decide between rescue and rewrite?
We evaluate architecture viability, security exposure, and technical debt. If the core data model and business logic are sound, rescue is often faster and more cost-effective than a premature rewrite. We recommend a rewrite when the existing foundation is fundamentally unsafe or misaligned with business requirements.
What does an AI code rescue audit include and how long does it take?
One agreed application and repository, covering up to three agreed critical user flows. Codebase size, stack, integrations and access determine the final review boundaries. Paid, fixed-scope assessment. We agree a fixed fee and schedule after a free fit and scope discussion, before work starts. Implementation is quoted separately. You receive prioritized findings, a remediation plan and a walkthrough, with the reviewed areas and limitations documented.
Related services
Other paths that may fit the problem.
Next step
Bring the problem closest to launch pressure.
We will help decide whether the right first step is an audit, roadmap, build sprint, design sprint, or a narrower technical review.