Keep your codebase simple

Jumping forward ~30 years

A lightweight KSP annotation processor that generates reports to track technical debt in Kotlin projects

AI code reviews grounded in 10 classic engineering books — decay risk diagnostics with book citations, severity labels, and 4 analysis modes. Now with short-form /brooks-review commands.

Code intelligence for AI agents. Complexity, hotspots, and tech debt analysis over MCP.

Living with zero problems while developing your web application

An application to share your SkunkScore results

Python test assertions watching when an issue is closed and failing a test to let you know fixed functionality is available.

A sample solution to add application modernisation capabilities to CI/CD and ship the results to a data lake for a comprehensive view

Autonomous Agent 🤖 Refactors Repos 📄 to Modern Best Practices in Go/Chi, handling tech debt, outdated libs, anti-patterns, Go generics, K8s upgrades & dependency updates. 🚀 AI DevOps Engineer, always on duty!

Hugo source for Tech Debt Burndown Podcast website

A project that utilizes fine-tuning of CodeBERT and CodeT5 to detect bad function naming in python code and suggest improvements

🛡️ Safeguard your architecture with ArchGuard, a TypeScript tool for analyzing and enforcing software architecture rules effectively.

In a constant effort to be a better professional, I thought on a "9 sustainment principles" based plan to manage tech-debt as industrial waste in software industry. More than 20 years of history are briefly analyzed to track the root cause of the constant pain of dealing with tech-debt.

AI-native code finding tracker — SQLite-backed, MCP server + CLI

This repository presents an approach to identifying files and workflows that contribute to TD. By applying NLP classification techniques to pull request and commit messages associated with GitHub Actions workflows, we aim to automatically detect and flag components and processes that introduce TD.

AI 輔助開發的品質追蹤系統模板 — 搜查手冊驅動，搭配 Claude Code 使用

An AI-powered architecture governance platform for .NET developers. ArchGuard AI scans monorepos for architectural smells (e.g., God Classes, Layer Violations) and generates automated refactoring proposals using LLMs. Built with Blazor and Clean Architecture principles.

Record, replay, and diff WebSocket sessions for debugging.