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CHEAPUNO guide

How to catch hardcoded values in AI-generated code before launch?

AI agents may embed static numbers like fixed discounts into your theme files, so audit diffs for literal values before deploying to production.

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People Fish

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What you are probably seeing

You notice that a promotional discount appears on every product in your store instead of only the items you selected, because the code applied a static number globally.

Your live sales report shows revenue that does not match your intended pricing strategy, revealing that a specific value was baked into the source code rather than pulled from your product settings.

Why it happens

Language models often optimize for completeness by filling in missing parameters with default or example values, such as a twenty percent discount, instead of leaving a variable for you to define.

The AI does not understand the distinction between a dynamic business rule and a hardcoded constant, so it treats placeholder numbers in training data as final implementation details.

What changed recently

Step by step

1. Filter your code diff for common numeric patterns to identify any literal numbers added to your theme files.

2. Search the new code for keywords like percent, discount, and price to locate where static values were inserted.

3. Verify that every numeric value in the logic is bound to a product property or a theme setting rather than a fixed number.

4. Run a local test on a development environment to confirm that the discount applies only to the intended product variants.

5. Establish a pre-deployment checklist that requires a manual review of all modified lines of code for hardcoded business logic.

Ways to go further

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