bardiakhosravi/tenets

Tenets addresses a critical 'last-mile' problem in AI-assisted coding: the tendency for LLMs to generate architectural technical debt. By applying Domain-Driven Design (DDD) and Hexagonal Architecture as a set of context rules, it constrains the AI to produce cleaner, more testable code. However, from a competitive standpoint, the project is extremely vulnerable. With only 33 stars and zero recent velocity, it functions more as a shared philosophy or a 'dotfiles' style configuration than a defensible software product. It faces immediate displacement from 'Rules' features natively integrated into IDEs (e.g., Cursor's .cursorrules, GitHub Copilot's custom instructions, or Windsurf's context handling). Its primary competitors are community-driven rule libraries like 'cursor.directory' or the frontier labs themselves, who are rapidly improving their native understanding of design patterns. Without a proprietary CLI tool or a deep library of automated architectural checks, it remains a set of curated prompts that any sophisticated developer could replicate in a single session.