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

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

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.

Living with zero problems while developing your web application

Hermes Agent skill: 系统化识别、评估、偿还技术债务

An application to share your SkunkScore results

Find the most dangerous files in any git repo — curse scores, bus factor, hidden coupling. Used to analyze 26 major OSS projects.

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

Autonomous Agent 🤖 Refactors Repos 📄 to Modern Best Practices in Go/Chi, handling tech debt, outdated libs, anti-patterns, Go generics, K8s upgrades & dependency updates.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

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

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

Hugo source for Tech Debt Burndown Podcast website

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.

处女作 · 微信公众号爬虫（Playwright + Python）

Architecture Decision Quality Benchmark — the first public benchmark for evaluating AI on architecture-level engineering decisions