vibe-coding

To enforce consistent rules for AI agents during collaborative development, apply global, capability, and project-specific conventions that prioritize SKILL.md instructions over ad-hoc scripts, ensuring predictable AI behavior.

Progressive disclosure in AI collaboration manages context by loading information on demand, which prevents context overload and ensures AI agents receive only the necessary data for the current task.

AI agents learn and integrate practical experience back into a project through a learning-in-evolution mechanism, continuously updating global conventions and internal principles based on real development outcomes.

The best way to start a new AI development project with unified conventions is to apply global vibe coding principles, ensuring all human and AI collaborators operate under a strict convention-over-configuration framework.

You should use defined conventions instead of ad-hoc instructions for AI coding because strict rules replace inconsistent commands, establish a unified global standard, and yield predictable outcomes across all AI-driven tasks.

Yes, this AI collaboration framework supports project-specific rules alongside global ones by governing AI behavior through multiple convention levels, allowing tailored rules to coexist with baseline global standards.