01
Risk-ranked codebase audit
A written report covering security, architecture, dependency hygiene, data handling, test gaps, deployment risks, and maintainability.
Service 01
AI code rescue for apps built with AI
Fix AI-generated code before it breaks production.
AI code rescue is the process of auditing, stabilizing, securing, and productionizing software built with AI coding tools. Aatvi reviews the code, architecture, dependencies, data handling, tests, deployment path, and operational risks before recommending a focused rescue or rebuild plan.
Security review for auth, secrets, permissions, input handling, and exposed data.
Dependency and supply-chain checks for hallucinated packages, stale libraries, and risky configuration.
Production readiness review across tests, observability, deployment, performance, and ownership.
What this includes
Deliverables a buyer can inspect.
Every service page is written around concrete artifacts. The work should be easy to evaluate before, during, and after the engagement.
02
Production readiness score
A pragmatic scorecard showing what blocks launch, what can wait, and what should be monitored after release.
03
Rescue or rebuild recommendation
A clear decision on whether to stabilize the current app, rewrite a narrow slice, or pause launch until critical risks are fixed.
04
Optional stabilization sprint
Focused implementation for critical fixes: auth, secrets, database rules, tests, CI, monitoring, performance, and deployment hardening.
Risk reduction
What this service is designed to prevent.
Good AI services are not just capability lists. They reduce specific failure modes that buyers already feel.
Silent security failures
AI-generated code can look complete while missing authorization checks, rate limits, input validation, or secret handling.
Hallucinated or unsafe dependencies
AI tools may suggest packages that are stale, vulnerable, or nonexistent, creating supply-chain risk before launch.
Unowned architecture
Fast prototypes often work by accident. We identify the areas where no one can explain the data flow, failure mode, or scaling path.
Field guides
Read the supporting playbooks.
Process
How Aatvi delivers code rescue.
Triage
We collect repository access, deployment context, AI tools used, data sensitivity, launch timeline, and the team's top concerns.
Audit
We review security, dependencies, architecture, tests, performance, data handling, logging, deployment, and maintainability.
Prioritize
Findings are ranked by launch risk and effort, with clear separation between blockers, important fixes, and later cleanup.
Stabilize
When requested, we run a focused sprint to fix the critical path and leave the app safer to operate.
Who this is for
A founder has a demo that works locally but is not safe for real users.
An agency or product team inherited a fast AI-built MVP and needs a senior review.
An investor, buyer, or CTO needs technical due diligence on an AI-generated codebase.
A team wants to keep the speed of AI-assisted building while adding engineering discipline.
Who this is not for
Projects that need a quick cosmetic pass while security and ownership stay unclear.
Codebases where the team will not share repository access, deployment context, or risk concerns.
Apps that need a full product strategy before any code review would be meaningful.
Comparison
How this differs from a generic service engagement.
Concern
Generic approach
Aatvi approach
Goal
Run a scanner and hand over a list.
Explain what can safely ship, what must be fixed, and why.
Review depth
Focus on syntax, lint, or generic vulnerabilities.
Review architecture, auth, data flow, dependencies, tests, deployment, and ownership together.
Outcome
Leave the team to interpret the report.
Provide a rescue plan and, if useful, implement the critical fixes.
Frequently asked
Common questions about code rescue.
Do you fix AI slop?
Yes, when the underlying product is worth rescuing. We avoid using AI slop as the service label, but we do audit and clean up fragile, AI-generated, and vibe-coded software.
Can you clean up a vibe-coded app?
Yes. We review apps built with tools such as Cursor, Claude Code, ChatGPT, Replit, Lovable, Bolt, v0, and similar builders, then stabilize the parts that matter for production.
Will you rewrite everything?
Not by default. We first decide whether the app can be safely rescued. A rewrite is recommended only when the current foundation is more expensive or risky to preserve.
How long does an audit take?
Small codebases can often be triaged in two working days. A deeper rescue audit usually takes about one week, depending on size, access, and risk profile.
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.