AI-Generated Code Quality Checker — Is Your Vibe Code Maintainable?
AI coding tools generate code fast, but fast does not mean maintainable. Paste AI-generated code here to check for excessive complexity, deep nesting, and functions that will be hard to test and debug.
Code Complexity Analyzer
Paste JavaScript or TypeScript code to analyze cyclomatic complexity, cognitive complexity, nesting depth, and maintainability index per function. 100% client-side — your code never leaves your browser.
Why AI-generated code tends to be complex
AI code generators optimize for correctness in a single generation, not for long-term maintainability. Studies show 45% of AI-generated code contains quality issues (Veracode 2025). Common patterns: overly long functions that handle multiple responsibilities, deeply nested if-else chains instead of guard clauses, switch statements that should be lookup tables, and copy-pasted logic instead of shared helpers. The code works, but accumulates technical debt quickly.
What to check in AI-generated code
Run any AI-generated function through this analyzer and look for: cyclomatic complexity above 10 (too many branches to test easily), cognitive complexity above 15 (too hard to read during code review), nesting depth above 3 (flatten with early returns), and functions longer than 30 lines (split into focused helpers). AI tools excel at generating boilerplate but struggle with architectural decisions — that is where human review adds the most value.
Refactoring AI code for maintainability
After generating code with ChatGPT, Copilot, Claude, or Cursor, run it through this analyzer before committing. For high-complexity functions: ask the AI to refactor using guard clauses, extract validation logic into separate functions, replace nested conditionals with early returns, and split large functions into smaller units. Then analyze the refactored version to verify complexity decreased. This analyze-refactor-verify loop catches quality issues before they become tech debt.
Frequently Asked Questions
Is AI-generated code usually complex?
It varies, but AI tools tend to produce longer functions with more nesting than experienced developers would write. A 2025 Veracode study found 45% of AI-generated code has quality issues. The code often works correctly but is harder to maintain, test, and debug.
How do I improve code quality from ChatGPT or Copilot?
Paste the generated code into this analyzer, identify high-complexity functions, then ask the AI to refactor those specific functions. Prompt it to use guard clauses, extract helpers, and reduce nesting. Re-analyze after refactoring to verify improvement. The analyze-refactor-verify loop is key.
What complexity score is acceptable for production code?
Aim for cyclomatic complexity under 10 and cognitive complexity under 15 per function. Nesting should not exceed 3-4 levels. A maintainability grade of A or B (index 60+) indicates the code is production-ready from a complexity standpoint.
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