Vibe Coding a Business Website: What Needs Review Before Launch

AI-assisted coding can produce a useful prototype quickly.

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Request a dated sample of how selected AI platforms describe your business. Review the questions, sources, and limitations before deciding what to change.

AI-assisted coding can produce a useful prototype quickly. A working demo is not evidence that the finished website is secure, accessible, maintainable, or ready to handle customer information. The review should focus on the code and behavior, not a blanket claim that every AI-built site is unsafe.

Identify what the application can do

Document logins, forms, payments, uploads, database access, and third-party services. Know what information each feature collects and where it goes. Review authorization on the server: hiding a button in the interface does not prevent someone from making a request directly.

Review implementation and dependencies

Check input validation, output escaping, permission checks, error handling, and secret management. Use maintained dependencies and inspect their licenses. Test the deployed configuration as well as the source code. AI-generated code should receive the same review as any other code handling real users or business data.

Test the customer journey

Exercise forms, notifications, keyboard navigation, mobile layouts, and failure states. Confirm backups can be restored and that important content is accessible to search systems where intended. A preview screenshot or a passing automated scan cannot establish every quality requirement.

Plan ownership and maintenance

Keep the source in a repository, document the deployment, and identify who can maintain it. Understand hosting and service costs, data exports, and the process for updates. A small prototype may suit a limited experiment; a production service needs an accountable operator and a review scope appropriate to its risk.

Discuss the priorities for your business with Milwaukee Web Design. Review the scope, evidence, and practical next steps before committing to a project.

Sources and further reading: OWASP: Top Ten application security risks.

Frequently Asked Questions

Is all AI-generated code insecure?

No. Quality depends on the implementation and review. Treat generated code as code that still needs verification.

When should a developer review it?

Before it handles customer data, authentication, financial actions, or other important business workflows, and whenever your team cannot confidently evaluate the implementation.

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