Beyond Laravel: Applying the Agent Harness to Any Stack

The information provided outlines a structured approach for integrating AI code generation tools, specifically Claude Code (which seems to be an AI tool similar to GitHub Copilot or other AI coding assistants), into various software development stacks. The goal is to streamline and automate parts of the development process while maintaining architectural integrity and consistency across different programming languages and frameworks.

Key Components

1. CI/CD and Delivery:

   • Platforms: Utilize popular CI/CD platforms like GitHub Actions, GitLab CI, CircleCI, Jenkins, Azure DevOps, etc.
   • Deployment Tools: Use tools such as Vercel, Docker + Kubernetes, AWS ECS, Fly.io, Forge, Envoyer, Capistrano, Heroku, and others for deploying applications.

2. Architecture Patterns:

   • Define clear service layers (e.g., Laravel's Service classes, Rails' POROs), business logic units (e.g., Action classes in Laravel, Command/Interactor in Rails), authorization mechanisms (Policies/Pundit), and request validation strategies (Form Requests/Zod schemas).

3. Harness and Skills:

   • Use Markdown files to define architectural rules, patterns, and anti-patterns specific to your project.

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