<DebtSweeper>

Automated technical debt detection and remediation

Analyze Your Codebase

Upload a zipped repository to analyze its technical debt.

Start New Analysis

About DebtSweeper

DebtSweeper is a tool that helps development teams identify and fix technical debt in their Python codebases. It analyzes code for common debt patterns, scores each file based on its debt burden, and generates targeted refactoring suggestions using AI.

Precise Detection

Identifies specific debt patterns like long functions, high complexity, code duplication, and more.

AI-Powered Fixes

Leverages advanced language models to suggest targeted, context-aware code improvements.

Debt Metrics

Provides quantitative scores to track and prioritize debt reduction efforts over time.

Debt Knowledge Graph

Legend

High Coverage (>80%)
Medium Coverage (50-80%)
Low Coverage (<50%)
Size = Complexity

                                Function Calls
                            
                                Imports

Metrics

Modularity

                                Score: 0.75
                                Good
                            
Duplication

                                Score: 0.35
                                Medium
                            
Complexity

                                Score: 0.60
                                Medium
                            
Debt Density

                                Score: 0.45
                                Medium
                            

How It Works

Upload your Python codebase as a zip file.

DebtSweeper analyzes code structure and patterns to identify technical debt.

Review debt items and their severity scores in an interactive dashboard.

Select debt items to fix and get AI-generated refactoring suggestions.

Apply patches to your codebase manually or through GitHub PRs.