Vibe Code Rescue: Fixing and Stabilizing AI-Built Apps
- Author: Georgi Papucharov
- Created at:
- Last updated:
- Time to read: 8 min.
Vibe Code Rescue is the process of fixing and stabilizing AI-built applications when bugs, unreliable behavior, or difficult maintenance start holding back their development. It involves reviewing the code, checking business logic and data access, testing, and improving the architecture incrementally. Sirius Software can help with assessment and refactoring, first identifying which parts are worth keeping and what needs to change.
You built an application by talking to AI. The screens look good and the demo works. But the next change breaks registration, orders are occasionally duplicated, or nobody is sure who can access customer data. The question becomes very practical: how do you turn what you have built into a product you can depend on?
What is Vibe Code Rescue?
In this article, we use Vibe Code Rescue to describe engineering work aimed at recovering, stabilizing, and further developing AI-generated software. The scope depends on the specific application, from fixing a few critical issues to rebuilding major modules.
By vibe coding, we mean creating applications through AI prompts and successive changes based on visible results, without systematically reviewing every generated component. This can be useful for validating an idea. But when real customers are involved, error handling, permissions, data integrity, and maintainability also need to be verified.
Using AI does not automatically make code bad. The risk arises when generated changes are accepted without sufficient understanding or verification. GitHub likewise notes that Copilot suggestions can be inaccurate or insecure and should be reviewed and tested by humans. Source: GitHub, responsible use of Copilot.
When does an AI-built application need repair and stabilization?
Vibe Code Rescue makes sense when instability begins to disrupt a core business process or each new change introduces unpredictable risks. It is better to describe specific symptoms than to assume from the outset that all the code must be discarded.
- Fixing one issue breaks another feature. You change the order form and the customer profile stops loading.
- The demo works, but real-world scenarios fail. Repeated clicks, lost connections, or concurrent requests produce incorrect records.
- Access to information is unclear. Hiding a button in the interface is treated as adequate security.
- The application depends on manual intervention. Only one person knows how to start, update, or restore it.
- Costs or delays increase without an obvious cause. There is no monitoring to identify the problematic component.
- A new developer cannot take over the project. Configuration, integrations, and key business rules are undocumented.
An isolated visual defect typically needs a straightforward fix. Recurring problems involving orders, permissions, or data storage justify a more thorough review.
What should an audit of AI-generated code examine?
A useful audit connects technical findings to business consequences. A list of files to clean up is not enough. For each important issue, you should know how it manifests, whom it affects, and how the fix will be verified.
| Area | Practical question | Expected deliverable |
|---|---|---|
| Business logic | What happens with duplicate orders, cancellations, or failed payments? | Documented scenarios and reproducible tests |
| User permissions | Can one customer read or modify another customer's record? | Tests for permitted and denied access |
| Data and integrations | How are interruptions, retries, and partial success handled? | Retry rules and data-consistency safeguards |
| Architecture | Which components are too tightly coupled, and why does one change affect others? | Dependency map and refactoring priorities |
| Deployment and maintenance | Can a release be deployed consistently and rolled back? | Verified deployment and recovery procedure |
Authorization must be enforced in a trusted part of the system, not just in the browser. OWASP recommends least privilege, denying access by default, and checking permissions on every request. Logging in successfully does not grant access to every record. Source: OWASP Authorization Cheat Sheet.
How can Sirius Software help?
Sirius Software offers Vibe Code auditing, repair, and refactoring. The service covers analysis of architecture, technical debt, and inconsistent logic, along with restructuring key components, expanding test coverage, and addressing performance issues.
For the owner of an AI prototype, this is an opportunity to explore how to retain what works and establish a sensible sequence of technical improvements. The exact scope, specialists required, and delivery arrangements should be agreed upon after reviewing the project.
For this type of engagement, it is reasonable to agree on the following deliverables:
- An initial technical assessment. How the application runs, which services it uses, and which processes are critical.
- A prioritized issue list. Separating blocking defects, data risks, and improvements that can wait.
- A phased plan. Each change has a scope, dependencies, and acceptance criteria.
- Regression checks. Tests cover the actual business rule that was violated.
- Project handover. Documentation of configuration, deployment, and maintenance responsibilities.
These are guidelines for defining an engagement, not a promise of an identical package or timeline for every application.
Refactor or rewrite: which approach is right?
Refactoring is appropriate when the existing application has a useful foundation and problematic components can be changed in a controlled way. A rewrite is worth considering when limitations affect the core data model, the platform, or the ability to maintain the product.
| Project condition | Approach to consider | Main trade-off |
|---|---|---|
| Working product with a limited number of defects | Targeted fixes and tests | Other technical debt may remain for later |
| Useful functionality but tightly coupled modules | Incremental refactoring | Old and new code must temporarily coexist |
| One module blocks further development | Replace that module | Existing integrations and data must be preserved |
| Fundamental platform limitations or lack of necessary source-code access | Migration or rewrite | Larger scope, data migration, and revalidation of functionality |
The decision should compare future costs, risk, and the value of the functionality already in place. The number of AI-generated lines of code alone does not reveal how much is worth preserving. If demand for the idea has not yet been validated, reducing the product's scope may be a better first step.
What does the problem look like in practice?
A booking application may look complete while still allowing two bookings for the same time slot. The following is an illustrative scenario, not a Sirius Software client case study.
Two users see an available slot and book it almost simultaneously. If availability is checked only when the screen loads, both requests may be accepted. Adding another warning to the interface will not fix the underlying cause.
A technical review should determine where booking uniqueness is enforced. Depending on the data model, the solution may involve a database constraint or transactional processing, clear conflict handling, and a test with concurrent requests. The acceptance criterion is specific: a slot accepts only the permitted number of bookings, and other users receive an understandable message.
How much does Vibe Code Rescue cost, and how long does it take?
Pricing and timelines can be estimated once access, code quality, and critical scenarios are understood. Fixing a broken workflow and migrating an entire live product are very different tasks, even if their interfaces look similar.
The main factors are the number and complexity of integrations, data quality, existing tests, platform dependencies, and whether the system must remain operational during changes. A useful first engagement is a limited audit with clearly defined deliverables, followed by a phased estimate. Without this information, a fixed budget to “rescue everything” would be guesswork.
How do you know whether the project is ready for real users?
Readiness should be demonstrated through verified scenarios and an ability to maintain the application. An attractive interface and a successful demo are only part of the assessment.
- The core workflow handles success, failure, and repeated actions correctly.
- Different users can access only the data and operations they are authorized to use.
- Changes can be tested in a separate environment before release.
- Working backups exist, and the restoration process has been tested.
- Errors can be traced without logging passwords or secret keys.
- A person or team is responsible for responding to incidents.
This is a starting checklist for discussing the project with a technical team, not a universal security certification. Applications involving payments, sensitive data, or specific regulatory requirements may need additional checks.
Have an AI prototype that has stopped progressing?
Start with a short description of the product and the problem blocking its development. For an initial conversation with Sirius Software, prepare:
- What the application does and who uses it.
- Which tools were used to build it and whether you have access to the source code.
- Two or three specific problems, including steps to reproduce them.
- Which external systems it uses and whether it already serves real customers.
- What outcome you want: stabilization, a new feature, or preparation for launch.
Contact Sirius Software about Vibe Code Rescue and request a discussion of the technical audit scope. This allows the conversation to begin with concrete problems and priorities. You do not need to send passwords, API keys, or copies of customer data with your initial inquiry; project access can be arranged separately.
Sources reviewed on October 16, 2026: Sirius Software - AI services and Vibe Code refactoring; GitHub - responsible use of Copilot; OWASP - Authorization Cheat Sheet. The scenarios and decision criteria in this article are practical guidance; a specific plan requires reviewing the application.
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