dwmkerr/ai-developer-guide

A comprehensive collection of AI development patterns for building software with AI assistance, organized by implementation maturity and development lifecycle phases. Includes Foundation, Development, and Operations patterns with practical examples and anti-patterns.

Universal, language-agnostic development standards for software projects. Includes coding standards, git workflows, testing guidelines, documentation structure, and AI collaboration rules.

AI SDLC PATTERNS

Install engineering discipline into any AI coding assistant. Composable skills for design, implementation, review, and team standards. Better process, not just better prompts.

A best-practices template for AI-assisted development at scale. It turns your repository into institutional infrastructure where AI agents can work sustainably — converging around documentation as a stable attractor across sessions, long cycles, and multi-role collaboration

ai-rules is a governance framework designed to solve "Architectural Decay" in AI-driven development. It forces AI Agents (Cursor, Windsurf, Copilot) to respect your project's boundaries, UI libraries, and design patterns.

A file-backed, spec-driven AI coding workflow framework for building real software while staying in control.

A governance harness for AI coding.