How to Keep Massive AI-Assisted Side Projects on Track

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-keep-massive-ai-assisted-side-projects-on-track. Learn how to keep AI-assisted side projects on track using a repo-native coordination layer that preserves context across session gaps. Check more stories related to science at: https://hackernoon.com/c/science. You can also check exclusive content about #side-project, #ai-coding, #productivity, #software-development, #artificial-intelligence, #coding, #project-management, #hackernoon-top-story, and more. This story was written by: @aleksh. Learn more about this writer by checking @aleksh's about page, and for more stories, please visit hackernoon.com. The Problem: AI coding tools have supercharged the initial phase of developer-side projects, but life inevitably gets in the way, and long gaps between sessions lead to projects being forgotten. Every new AI chat starts completely cold, forcing you to figure out what to do next all over again. The Solution: Build a repo-native coordination layer. By bootstrapping a .plans/ directory directly inside your version-controlled code, your AI coding agent (like Claude Code) can scan your repository cold, handle context window loss, and accurately answer the ultimate question: "What are we building today?" The Bottom Line: This method trades a fraction of your AI tokens for a resumable side project that does not require you to hold state in your head.