Make modules AI-maintainable through standardized interfaces and clear indexing
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Updated
Apr 7, 2026 - Python
Make modules AI-maintainable through standardized interfaces and clear indexing
A meta-linter that detects stale references in configuration files and linters configuration files
A curated collection of autonomous AI agents for systematic codebase improvement. Each agent specializes in a specific domain—performance, security, UX, testing, etc—making focused, incremental changes while maintaining strict safety protocols. Inspired by Google Jules, these agents work to enhance code quality through targeted micro-improvements.
⚙️ AI-DoxygenCleaner: Automate Doxygen fixes 🛠️, boost code clarity 📚, and speed up dev workflows 🚀.
Local-first, git-native automation daemon that orchestrates external AI coding agent CLIs to discover, plan, implement, verify and deliver repository changes as reviewable pull requests.
Analysis of Stack Overflow comments and answer updates
Autonomous overnight code improvement — lint, types, security, docs while you sleep
A clean, responsive To-Do List built with **HTML**, **CSS**, and **Vanilla JavaScript** (DOM manipulation). This project demonstrates my ability as a very junior web developer to build interactive web interfaces with modern design and clear code structure.
AI-powered, offline VS Code extension to auto-add comments/docstrings to Python code.
An example of how to develop a package with publisher, subscribers and service for ROS 1 and ROS 2 at the same time
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