Software quality monitoring for teams and projects
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Updated
Aug 19, 2026 - Python
Software quality monitoring for teams and projects
Harnessing Large Language Models for Curated Code Reviews
PCART: Automated repair of Python API parameter compatibility issues
ICTU's Kwaliteitsaanpak: a set of guidelines for software development projects
PCBench: Benchmark for Python API parameter compatibility issues
🔍 Analyze and visualize code health with metrics like cyclomatic complexity, TODOs, and more — for C#, Java, and beyond.
A software maintenance explorer tool - https://soft-evo.shinyapps.io/maintenance-activities/.
Codex skill for evidence-backed code archaeology from local git history
Open-source repository standard, starter template, validator, and multi-agent workflow for making vibe-coded and AI-generated software understandable, testable, reviewable, and maintainable. Codex-first reference implementation.
The CodeSparks framework aims to facilitate the integration of software analysis tools into the IDE such that their results are shown as glyph-based visualizations in the source code.
A tool to compute test paths of Java methods and constructors.
LinkAnchor: An Autonomous LLM-Based Agent for Issue-to-Commit Link Recovery
Your agents see old code. This skill makes them dig up why it exists.
Detect missing DLL, OCX and COM dependencies in legacy VB6 and Windows applications.
This is a demo implementation of a CodeSparks plugin for the IntelliJ IDEA.
Living docs protocol and Codex skill for keeping AI-assisted code changes, requirements, status, guardrails, tests, and change records in sync.
Automatizing Software Cognitive Complexity Reduction
Technical Debt Catalog - Code Debt - Repository - Scientific Initiation Project supported by the São Paulo Research Foundation - FAPESP, grant n°: 2016/15631-4
🔧⚙️ This project was made for Software Engineering, Management and Evolution exam and represents a maintenance activity on an already existing web application.
A Python tool for detecting code duplications and code quality issues in your projects. Replicheck analyzes your codebase to identify similar or identical code blocks, high complexity functions, large files/classes, and TODO/FIXME comments, helping you maintain code quality and reduce redundancy.
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