This bridges the gap between business strategy and technical architecture by treating your codebase as a direct expression of your business model. You'd reach for it when starting greenfield projects, making build vs. buy decisions, or when scaling issues start bumping into business model constraints. The approach is especially relevant during that tricky MVP-to-sustainable-growth transition where architectural choices start having real revenue implications. It's more of a thinking framework than a code generator, so expect it to guide decision-making rather than write features. The 28 GitHub stars suggest it's still niche, but the core insight that architecture and business model are inseparable is sound.

GitHub stars
33
last updated
Aug 21, 2026

Install

$ npx -y skills add daffy0208/ai-dev-standards --skill 'BMAD Method' --agent claude-code

Installs into .claude/skills of the current project.

Files

BMAD Method (Business Model and Architecture Design)

Overview

The BMAD Method bridges business strategy and technical architecture. It ensures your technical decisions support long-term business sustainability, not just immediate feature delivery.

Core Insight: Your architecture IS your business model in code form.

When to Use This Skill

Use BMAD when:

  • Starting a new product or major architectural redesign
  • Technical decisions have direct revenue/cost implications
  • Scaling challenges intersect with business model constraints
  • Evaluating build vs. buy for core capabilities
  • Transitioning from MVP to sustainable growth
  • Business model changes require architectural shifts

Key Capabilities

  • Map business model to technical architecture decisions
  • Identify architectural implications of revenue models
  • Design for cost sustainability at scale
  • Align technology investments with business value
  • Evaluate infrastructure costs vs. revenue potential
  • Plan architecture evolution alongside business growth

Workflow

Step 1: Business Model Analysis

Understand the Revenue Engine:

Sponsors

Details

Repository
github.com/daffy0208/ai-dev-standards
Categories
Code Review & Quality, AI & Agent Building, Design & UI/UX
First seen
Jun 3, 2026

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