AI CLEANUP & PROJECT RECOVERY
AI-generated code.
A practical way forward.
Data Beans helps recover AI-assisted software projects that have gone off track. We review generated code, repair broken integrations, improve architecture and tests, and establish the planning and governance needed to move forward.
WHEN THE EXPERIMENT NEEDS HELP
Make sense of it.
Make it maintainable.
AI can produce working-looking code quickly. The difficult part comes when the pieces do not fit together, nobody can explain important decisions, or a change breaks something that appeared to work.
Recovery starts by understanding what you have and what you actually need. We can inspect the code and integrations, identify fragile assumptions, and agree on a practical order for repair.
- Review and repair AI-generated code and integrations.
- Rework architecture, testing, and accumulated technical debt.
- Identify security and configuration gaps that need attention.
- Establish ownership, review practices, and a workable delivery plan.
A RECOVERY PLAN THAT FITS THE WORK
Repair the code.
Improve the way it gets built.
- 01
Understand the system.
Review the intended outcome, existing code, dependencies, integrations, and what is failing. Establish what can be trusted and what needs closer examination.
- 02
Prioritize the repairs.
Agree on a realistic scope. Address the problems that block useful progress, then improve the tests, structure, and documentation needed to support changes.
- 03
Put governance in place.
Define who reviews changes, how generated code is tested, which decisions need approval, and how the project will be maintained after the recovery work.
AI CLEANUP QUESTIONS
A few things
you might be wondering.
Can you help if an AI-built application almost works?
Yes. An application does not need to be completely broken to benefit from a review. We can help investigate unreliable behavior, brittle integrations, unclear architecture, missing tests, and code that has become difficult to change.
Does AI cleanup always mean starting again?
No. The first step is to understand what is useful and what needs repair. Reuse, refactoring, and replacement should follow that assessment rather than an assumption that everything needs rewriting.
What does AI governance mean for a software project?
It means practical responsibilities and checks: who owns the work, what data may be shared with AI tools, how changes are reviewed and tested, and when a person must make or approve a decision.
Can recovery include security work?
Yes. Review can include access controls, secrets handling, configuration, and deployment concerns. More focused work is described on our application and infrastructure security consulting page.