Sweep AIFix BugsIntermediate

Common Bugs in Sweep AI-Generated Code

The most common bugs we find in Sweep AI apps and how to fix them. Real examples from production code reviews.

Why Sweep AI code has bugs

Sweep works from issue descriptions that may not capture the full scope of the change needed. It doesn't have the context of ongoing discussions or related issues unless explicitly included in the issue

The most common bugs

Sweep PRs sometimes implement only the explicit requirement of an issue without handling related edge cases or coordinating with other parts of the system that are affected. It may fix a bug by handling one case without realizing the same root cause exists elsewhere in the codebase

How to find these bugs

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 Sweep AI 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.

Fixing patterns

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 — Sweep AI 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.

Prevention

The best way to prevent Sweep AI 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.

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