Hidden fragility
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.
AI-Assisted Development
AI-Assisted Development service track
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.
Approach
AI built it. We make it secure, maintainable, and production ready.
The work is structured around explicit decisions and usable outputs rather than a generic delivery template.
Engineering recovery
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.
Fit
Where this creates leverage
The strongest engagements have a clear operating constraint, decision, workflow, or delivery risk to improve.
Best fit
Conditions that make the work valuable
- 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
Situations the service can address
- 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
Deliverables
What Solutyics actually delivers
Each workstream is labelled for the outcome or artifact it is responsible for, not its position in a template.
Codebase diagnosis
Codebase audit and risk report
Recovery plan
Refactoring or rebuild plan
Security cleanup
Security, dependency, and environment cleanup
Critical-path tests
Test coverage for critical paths
Deployment handover
Deployment and handover documentation
Process
How the work moves
A visible sequence of decisions, working outputs, review points, and handover, rather than a black-box delivery cycle.
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.
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
FAQ
Questions that shape the work
The answers below clarify scope, collaboration, ownership, and the conditions that usually affect delivery.
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 Services
More in AI-Assisted Development
Rapid PrototypingA working product shape in days, not months.Prototype to MVPTurn a promising prototype into software real users can rely on.MVP to ProductScale what works and strengthen what the MVP proved.Specs-Driven DevelopmentUse specifications to keep AI coding agents aligned, reviewable, and production ready.
Next step
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.