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Obie Fernandez - Empowering the Individual: Rails on AI - Rails World 2024
Learn how to effectively integrate AI into Rails apps using patterns like worker swarms & role assignment. Practical tips for predictable AI interactions & automation.
- Use AI code completion tools like Cursor and Copilot to accelerate development and reduce manual coding
- Narrow the scope and context when working with AI to get more accurate results - be specific about constraints, domain, and desired outcomes
- Implement “multitude of workers” pattern - discrete AI components that handle specific tasks within your Rails application
- Use role assignment pattern to give AI specific personas and capabilities for different tasks
- Create API facades to bridge between general AI assistants and specific application functionality
- Break down complex AI interactions into smaller, focused components rather than having one large AI system try to handle everything
- Leverage AI for features like self-healing data, anomaly detection, and dynamic user experiences
- Extract business logic and workflow automation into AI components while keeping them as code modules within your application
- Structure AI prompts carefully to get predictable, repeatable results - include explicit instructions and context
- Consider AI components as collaborative objects that can communicate with each other through messages, similar to object-oriented design principles