The Prototype That Became RefactorAI's Older Sibling

The AI Code Analysis Assistant, pushed January 18, 2026, was the rough draft of an idea I could not leave alone: what if LLMs helped developers refactor with discipline, not just enthusiasm? This Python prototype focused on static analysis and refactoring assistance before the full-stack RefactorAI Gen 2 architecture existed. It was messy in the right ways — experiments logged honestly, failures kept in commits, prompts that worked once and broke twice. Building it taught me that AI coding tools fail when they ignore structure: linting, security checks, and measurable quality signals. I was already thinking about Bandit, Ruff, and scoring rubrics before they appeared in the production system. The repo feels like a time capsule now, but I do not hide it. It shows evolution, and evolution is more credible than a perfect first commit. If you browse the code, you will see urgency — the urgency of a fresher trying to prove that AI-assisted development can be engineered, not improvised. RefactorAI Gen 2 stands on this foundation, not despite it. Prototypes deserve respect when they tell the truth about how an idea grew. I keep the prototype public because hiring managers should see the arc, not just the finale. The assistant was rough; RefactorAI Gen 2 is refined — same curiosity, better engineering. Every messy commit in that prototype saved time later, because I had already seen which ideas collapsed under real code.