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AI App Rescue · Dev Partners
The app got you off the ground. Now it is buckling. Data leaking, performance collapsing, code nobody can change. It is fixable. It is not your fault. And it starts with knowing what you actually have.
These are the signs. They tend to appear together, because they come from the same root cause: code that was generated without any human understanding of the system it was creating.
The most urgent symptom and usually the most embarrassing to discover. AI tools generate data retrieval code without adding the authorisation check that confirms who is allowed to see it.
The database has no indexes. Queries that were fast with ten records are painful with ten thousand. Reports that took two seconds now take thirty. It will get worse.
Duplicate records. Numbers that do not add up. Actions that occasionally do something different. These are classic concurrency symptoms: two users hitting the same operation at the same time.
You or your developer has learned that touching one part of the code breaks something unexpected in another. Nobody wrote this code, so nobody understands how it hangs together.
You accepted what the tool produced. It does something, but you cannot fully account for what. This is the maintainability problem becoming visible.
Built and tested by one person in one session. Never stress-tested with concurrent users, realistic data volumes, or edge cases the original prompt did not anticipate.
If any of these apply, it is not your fault. You were sold a tool and told it was a development team. The tool was not lying exactly, but it was not telling you the whole truth either. This is fixable.
We do not guess, and we do not recommend a full rebuild unless one is genuinely warranted. We start by understanding what you have.
We review the codebase for security, database structure, scalability, and maintainability. You get a written report with prioritised findings and a recommended remediation plan. Fixed price, five working days. This is always the starting point, because the right fix depends on what we actually find.
If the audit finds critical issues, we address those first. Security holes that could expose user data. Race conditions that corrupt records. Things that cannot wait. We scope this separately and move quickly.
Database restructure if needed. Indexing. Foreign key relationships defined properly. The query performance improvements that follow from having a database that was designed rather than generated.
Business logic identified, documented, and moved into a consistent structure. The parts of the codebase that nobody currently understands, made understandable. Tests written against the documented behaviour.
At the end you have software you can explain, a developer who can maintain and extend it, and code that is entirely yours. No dependency on the tool that built it, no black boxes, no mystery.
Not a different product. The same application, with the engineering underneath it that the AI tool did not provide. The same features, the same data, the same workflows your users know. But now:
Usually not. Most AI-built applications have fixable problems rather than fundamental structural failures. The common issues (missing access controls, poor database structure, concurrency problems) can be addressed without a full rebuild. We audit first, assess honestly, and recommend the minimum intervention that makes the software safe and maintainable. If a full rebuild is genuinely warranted, we will tell you that and explain why.
Common signals: users seeing data that is not theirs, performance degrading as data grows, intermittent bugs that appear under concurrent use, code nobody can explain or safely modify, behaviour that worked at one user and breaks at ten. If any of these apply, the app needs reviewing. The audit is the right starting point.
It depends on what the audit finds. Critical security issues can often be addressed within a week. A full structural remediation covering database, concurrency, and code quality typically takes four to eight weeks depending on the complexity of the application. We scope this based on the audit findings, so you know what you are committing to before work starts.
For most remediation work, no. The application continues to function throughout. We make structural changes that improve reliability and performance without changing the visible behaviour. The exception is if we find a critical security issue that requires immediate action: in that case we discuss the options with you, which may involve briefly taking the application offline or restricting access while the fix is applied.
Most rescue engagements start with the audit. We find out what we are dealing with, then we fix it in priority order. No guessing, no rebuilding what does not need rebuilding.
We reply within one working day.
Describe what you have and what is going wrong and we will be in touch within one working day.
