AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix

Keep your codebase simple

Jumping forward ~30 years

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

Self-hosted control plane for AI coding agents (Claude Code, Codex, Gemini, Ollama). Shared MCPs, reusable workflows, AI audit that makes any repo AI-friendly. Engineering, not prompting : smaller prompts, fewer hallucinations, lower token bill.

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

A CLI that reads git history to flag single-owner modules, high-churn files, and bus-factor risk.

Autonomous multi-agent codebase modernization & tech debt hunter — 7 specialized agents, 4-pass long-chain reasoning, powered by Xiaomi MiMo V2.5

Hermes Agent skill: 系统化识别、评估、偿还技术债务

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.

AI-Powered Legacy Modernization Platform. Understand. Plan. Modernize.

Autonomous Agent 🤖 Refactors Repos 📄 to Modern Best Practices in Go/Chi, handling tech debt, outdated libs, anti-patterns, Go generics, K8s upgrades & dependency updates.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

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

处女作 · 微信公众号爬虫（Playwright + Python）

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

AI agent that surfaces, prioritises, and files your tech debt as GitHub issues. Works in Copilot, Claude Code, and Cursor. One curl command to install.

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.