Five code checks before you expand an AI-built app

Before you add more features, check how your software handles business rules, data, failures, testing and release. These questions apply to web apps, mobile apps and internal tools.

An app can complete a demonstration while leaving important questions unanswered. What happens when a payment fails? Can another person release an update? Will a change to a shared rule affect every screen that uses it?

Use these five checks to define a useful review. Ask for evidence from the actual project, such as the relevant code, a test result or a demonstrated workflow. An AI-generated explanation still needs checking against what the software does.

1. Find where your business rules are applied

Choose a rule that matters to your business, such as a discount, booking limit or approval requirement. Ask your developer to show where it is calculated and checked. Compare the website, mobile app and backend wherever they share that rule.

If different places implement the same rule, establish which version is correct and how changes reach the others. Record the expected behavior before changing the implementation.

2. Follow a record through the system

Pick a record such as an order, customer request or appointment. Follow it from entry through storage, editing and display. Check what the user sees if saving fails, the connection drops or another person changes it.

Look for places where the screen can show a success message before the operation has succeeded. Agree how interrupted work, retries and conflicting edits should behave.

3. Check how failures reach the user

Try an invalid value, an unavailable service and an interrupted request in a test environment. Does the message explain what happened? Can the user recover without losing the work they entered?

Include the staff who handle problems. They need enough information to find the failed operation without collecting unnecessary customer data or asking someone to repeat a payment.

4. Inspect the tests and their latest results

Ask which important workflows have automated checks and which need manual testing. Read the latest results and confirm which software version was tested. A test file in the repository tells you little about whether that test runs before a release.

Start with the workflows that affect customers or daily operations. These might include signing in, placing an order, submitting a request and controlling who can view or change a record.

5. Demonstrate a release and recovery

Ask someone to follow the setup instructions and produce a test release from the repository. Record any missing configuration, access or undocumented steps.

Then agree how you would recover from a failed release. Include the application, database and uploaded files where relevant. Verify the recovery process in an isolated environment before relying on it.

Turn the findings into a scoped next step

Each finding should explain the observed behavior, its effect and the work needed to address it. Separate confirmed defects from questions that still need investigation. Agree the priority, acceptance checks and responsibility before implementation begins.

For help reviewing or completing an existing product, read about AI-built app repair.

Discuss your project if you want a review, a defined improvement or continued development.

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