AI coding tools make it possible to turn an idea into a working prototype in a surprisingly short time. That can be valuable: a team can test an idea, automate a repetitive task, or see a workflow before investing in a full project.
The important question comes when people start relying on that app for real work. A useful demo is not automatically ready to handle customer information, employee accounts, payments, or a process the business cannot afford to lose.
This is not a problem unique to AI-generated code. Any application needs review, testing, and an operating plan. AI tools simply make it easier to build something before the owner has had time to understand all the pieces. GitHub’s guidance on reviewing AI-generated code recommends checking functionality, security, and maintainability. Those are sensible checks no matter which coding assistant helped write it.
Start with the information the app handles
Write down what the app stores, sends, or can access. That might include customer contact details, employee information, invoices, credentials, or files from another business system. Then ask who should be able to view or change each kind of information.
An app may look polished while still giving users too much access, exposing a secret key, or sending information to a service the business has not considered. The OWASP Top 10 highlights risks such as broken access control, security misconfiguration, software supply chain failures, and authentication failures. These are practical areas to examine before the app becomes part of daily operations.
Check the foundation, not just the screen
Find out where the app runs, where its data lives, which outside services it depends on, and who controls the accounts. Confirm that passwords and API keys are kept out of public code, that the production app is separate from experiments, and that only the people who need access have it.
Check the software packages the app relies on, too. A generated application can include libraries and services that need updates or have their own access requirements. The NIST Secure Software Development Framework emphasizes protecting software and its development environment, checking security, and responding to vulnerabilities over time.
Test what happens when things go wrong
Try the important tasks with realistic examples. What happens if a user enters incomplete information, loses access, submits something twice, or reaches a page they should not see? What does the app do if an external service is unavailable?
Tests help catch regressions when someone changes the app later. They do not prove the app has no defects, but they create a repeatable way to check its most important behavior. Review changes before they go live, and make sure the tests check real business outcomes rather than just whether the app opens.
Decide who will operate it
Every working app needs an owner. Document who can deploy changes, where to report a problem, how data is backed up, and how a restore would be tested. Keep a list of the services and accounts the app depends on, and decide what the business will do if the app or its provider is unavailable.
These basics turn an experiment into something the business can manage. If no one knows where the app runs, who owns the account, or how to recover its data, the business is depending on a fragile arrangement—even if the app works today.
Make the next step proportional to the risk
An internal calculator with no sensitive information may need only a light review. An app that handles customer data, controls business processes, or supports revenue deserves more careful security checks, testing, and documentation. Start with an assessment, write down the most important gaps, and fix them in order of risk and business impact.
Further reading
How SLTS can help
If you built an app with Claude, Codex, or another AI coding tool and are unsure what comes next, SLTS can help explain how it works, review practical security and reliability concerns, and plan the steps to make it ready for real use. Learn about AI-Built App Readiness or tell us what you built.