Common Bugs in ZenCoder-Generated Code

AI coding agents optimize for code that looks correct and compiles without errors, but logical correctness in complex business rules requires domain understanding that isn't always captured from code context alone

ZenCoder may generate code that is stylistically correct for your project but has subtle logical errors — particularly in complex conditional logic, state management edge cases, and async control flow. It can also generate test code that technically passes but doesn't test the right thing

Start by running your app through its complete user flow — sign up, use every feature, try edge cases like empty inputs and invalid data. Most ZenCoder bugs surface when you go off the happy path. Use your browser's developer tools to watch for console errors, failed network requests, and unhandled promise rejections. TypeScript's strict mode will catch many issues at compile time if it's not already enabled.

For async errors, wrap every server-side operation in try/catch blocks and return meaningful error messages. For state bugs, consider whether the state belongs in the URL, in a server component, or in client state — ZenCoder often defaults to client state when server state would be more appropriate. For data fetching issues, implement proper loading and error states for every data-dependent component.

The best way to prevent ZenCoder bugs from reaching production: enable TypeScript strict mode, add ESLint rules for common mistakes (no-floating-promises, exhaustive-deps), and write tests for critical user flows. Even basic smoke tests catch the majority of issues.