Multi-Dimensional Debugging

# AI-Powered Debugging Session def analyze_code(source_code): """ Analyze source code for potential bugs and optimizations """ issues = [] suggestions = [] # Syntax analysis if not source_code.strip(): issues.append("Empty code block detected") return {"issues": issues, "suggestions": suggestions} # Pattern detection if "print(" in source_code and "debug" in source_code.lower(): suggestions.append("Consider using logging instead of print statements") # Performance analysis nested_loops = source_code.count("for") * source_code.count("while") if nested_loops > 2: suggestions.append("Potential O(n²) complexity detected") return { "issues": issues, "suggestions": suggestions, "complexity_score": min(nested_loops * 2, 10) } # Example usage code_sample = """ for i in range(1000): for j in range(1000): print(f"Debug: {i}, {j}") """ result = analyze_code(code_sample) print("Analysis complete:", result)