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.
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.
⚙️ AI-DoxygenCleaner: Automate Doxygen fixes 🛠️, boost code clarity 📚, and speed up dev workflows 🚀.
Configuration-driven CLI for previewing, validating, and updating path headers across source code and documentation files.
Autonomous Python agent that audits repositories for stale docs and missing configuration, proposes safe fixes, verifies them, and commits only validated changes.
Evidence-driven software maintenance with bounded authority, policy-controlled verification, and independent acceptance.
An example of how to develop a package with publisher, subscribers and service for ROS 1 and ROS 2 at the same time
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.
Analysis of Stack Overflow comments and answer updates
Autonomous overnight code improvement — lint, types, security, docs while you sleep
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