AI-Assisted Development
Vibe Code Rescue
We audit, refactor, secure, test, and rebuild critical parts of AI-generated software so your team can maintain and scale it confidently.
Why it matters
AI built it. We make it secure, maintainable, and production ready.
AI tools can create impressive demos quickly, but many AI-generated codebases arrive with fragile architecture, hidden duplication, weak security boundaries, poor error handling, and no reliable deployment story.
Solutyics treats rescue work as an engineering diagnosis. We identify what is safe to keep, what needs refactoring, and what should be rebuilt. The goal is not to criticize the prototype. The goal is to make it usable, ownable, and less risky.
Primary intent
Stabilize AI-generated or rapidly assembled software before it breaks under real use.
Fit
Where this work creates leverage.
Ideal for
- Founders with an AI-generated app that works only in demos
- Teams blocked by fragile prototype code
- Companies worried about security or deployment readiness
- Products that need tests, documentation, and maintainable architecture
Typical use cases
- Stabilizing a Cursor, Lovable, Bolt, or v0 prototype
- Fixing broken authentication and database flows
- Preparing a demo app for real users
- Recovering a codebase with no clear structure
Scope
What Solutyics delivers.
Deliverables
- Codebase audit and risk report
- Refactoring or rebuild plan
- Security, dependency, and environment cleanup
- Test coverage for critical paths
- Deployment and handover documentation
Considerations
- Some code can be improved, some should be replaced
- Security issues often appear around auth, secrets, and data access
- The fastest rescue path depends on business priority
- Documentation matters because rescue work must leave ownership behind
Outcomes
What should improve after the work.
A clear codebase health picture
Safer production path
Reduced maintenance risk
A product your team can continue improving
Process
How the work moves
Inspect the codebase
We review architecture, dependencies, data flow, auth, error handling, environment setup, and deployment assumptions.
Separate keep from rebuild
We decide what can be refactored and what should be replaced to protect long-term maintainability.
Stabilize critical paths
We fix high-risk flows, add tests, secure configuration, and make deployment repeatable.
Hand over ownership
We document the system, risks addressed, remaining debt, and next engineering priorities.
FAQ
Questions that shape the work.
Can you rescue code generated by AI tools? +
Yes. We commonly review AI-assisted code for architecture, security, duplication, dependency risk, data handling, and deployment readiness.
Will you rewrite everything? +
Not by default. We only recommend rewriting parts that are too risky or expensive to maintain. A targeted rescue is often better than starting again.
How do you know whether the app is production ready? +
We check critical workflows, authentication, data access, error handling, environment setup, observability, tests, and deployment reliability.
Can you add missing tests? +
Yes. We prioritize tests around user flows, API behavior, data changes, permissions, and areas where future changes are likely to break the system.
What do we receive after the rescue? +
You receive the improved codebase, deployment notes, documentation, a risk summary, and a practical list of remaining technical debt.
Related
More in AI-Assisted Development
Next
Make the AI-generated build safe enough to own.
Send the repository, deployment state, and what currently breaks. We will help find the fastest responsible rescue path.