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Product as Code

Version control for product management for AI-enhanced code generation. Treating product requirements with the same rigor as code itself.

Specification Version License GitHub Stars

Product as Code (PaC) is a methodology and specification for managing product development using GitOps principles. It brings version control, structured data, and AI-native workflows to product management.

The Problem

Product requirements are scattered everywhere. Jira, Confluence, Shortcut, Linear, GitHub Issues, Slack, email, people's heads—there's no single source of truth. When your AI coding assistant needs to understand the business context behind a feature, it's left guessing.

AI coding tools are context-starved. They can write technically correct code, but they don't understand why you're building what you're building. When you restart Cursor or switch AI models, all context disappears.

Product decisions live in people's heads. When someone leaves the team, institutional knowledge vanishes. Documentation becomes stale immediately after creation.

The Solution

Product as Code treats product management with the same rigor as software engineering. Instead of scattered requirements across multiple tools, everything lives as structured, version-controlled data in your repository alongside your code.

apiVersion: productascode.org/v0.1.0
kind: Ticket
metadata:
  id: 660f9511-f39c-52e5-b827-557766551111
  name: "jwt-token-generation-validation"
spec:
  description: |
    Implement comprehensive JWT token generation and validation utilities
    for the authentication system.
  type: "feature"
  status: "in-progress"
  branch_name: "22-jwt-token-generation-validation"
  assignee: "@alice"

  acceptance_criteria:
    - "JWT token generation with configurable expiration times"
    - "Token validation with proper error handling"
    - "Refresh token mechanism for seamless user experience"
    - "Unit tests for all JWT utilities"

  tasks:
    - metadata:
        id: 1
      spec:
        description: "Enhance JWT token generation"
        done: true
    - metadata:
        id: 2
      spec:
        description: "Implement token validation"
        done: false

This isn't just a ticket—it's structured data that AI tools can understand completely.

Key Benefits

🤖 Perfect AI Context

AI coding assistants understand business requirements, technical context, and implementation details in a single pass. No more guessing about business intent.

📋 Single Source of Truth

All product decisions, requirements, and progress live in version-controlled files alongside your code. No more tool switching or context loss.

🔄 GitOps for Product

Apply the same workflows you use for infrastructure and code to product management. Review product decisions like code reviews.

⚡ Developer-Native

Built for technical teams who prefer git workflows over traditional project management tools. Everything feels familiar.

📈 Traceability

Every product decision is traceable through git history. Understand exactly why decisions were made and when they changed.

🎯 Atomic Development

Each ticket maps to exactly one git branch and pull request. Clear scope boundaries with no confusion.

Roadmap

Phase 0: Foundation (Current - v0.1.0)

  • 🏗️ Core specification published
  • 📋 Basic validation tools
  • 📋 Web viewer for PAC repositories
  • 📋 AI integration examples and templates

Contributing

Product as Code is an open source project and we welcome contributions!

Ways to Contribute

  • Try the specification with your team and share feedback
  • Report issues or suggest improvements
  • Contribute to tooling - help build the ecosystem
  • Write documentation and examples
  • Spread the word - blog posts, talks, social media

Follow Us

Stay connected with the Product as Code community:

  • X - Updates, tips, and community highlights
  • Bluesky - Join the conversation on Bluesky
  • LinkedIn - Professional updates and insights

Acknowledgments

Product as Code was inspired by:

  • Infrastructure as Code movement and GitOps principles
  • OpenAPI Specification for structured API documentation
  • Kubernetes resource definitions and YAML-first approach
  • The growing need for AI-native development workflows

Built with ❤️ by developers who believe product management should be as rigorous as software engineering.

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