naholo

Naholo organizes coding projects around repeatable cycles that include gathering initial details, applying AI skills to perform changes, and reviewing outcomes along with associated expenses. Context remains stored in project files to allow seamless continuation even after interruptions or model limitations occur. Projects can be set up in modes that either keep all components local without committing files or integrate configuration directly into the repository for team consistency. This setup works with existing AI coding tools to handle tasks in manageable segments while flagging any deviations from prior decisions. Additional capabilities focus on logging progress, attributing token consumption to specific actions, and preparing for expanded features like grouped campaigns and team oversight structures.