🐍Backend & Machine Learning
AI Code Review & Detection for Python
LLM generators produce syntactically valid Python code that relies heavily on bare exceptions, missing type annotations, and hallucinated third-party dependencies.
Common AI Code Smells in Python
Identified by VibeFix 24-Point Neural DNA Forensic Analysis
AI Pattern #1
Bare Except Block Exception Swallowing
AI assistants frequently wrap code in bare except clauses, hiding critical system errors and debugging tracebacks.
# AI-Generated Pattern
try:
result = process_data(payload)
except:
pass # Hides SyntaxError, TypeError, and KeyboardInterruptAI Pattern #2
Hallucinated Package Imports
AI models often hallucinate helper packages that do not exist or reference outdated libraries that trigger security vulnerabilities.
# AI-Generated Pattern
import crypto_utils_v2 # Hallucinated module non-existent on PyPIRecommended Remediation Rules for Python
- ✓Catch specific exceptions (ValueError, KeyError)
- ✓Enforce type hints and mypy static analysis in CI/CD
- ✓Pin exact dependency versions in requirements.txt or pyproject.toml