Why Open Source?
Economic/Market Reasons
Costs to develop software are going to 0. This is because of Open Source and LLMs. We're going to beat everyone there by combining an open source CRM/CMS with LLMs.
User-Centric Reasons
- Freedom and Control
- Privacy
- Community Driven Innovation and Collaboration
- Cost Savings
- Security
- Customizability and Flexibility
Strategic Reasons
Deep Network Effects when people build plugins on top of your open source ecosystem (like WordPress).
Why Ruby on Rails?
- Strong Open Source Community, Historic Popularity, and High Quality Documentation
- Rails is Optimized for the Developer Experience, Which Means It's Optimized for LLMs to Understand It
Our Philosophy
Ruby on Rails is unequivocally the most superior framework for LLM code generation, bar none. Its design philosophy and features make it the perfect match for AI-driven development:
Reduced Token Usage
Rails' "convention over configuration" principle and Ruby's expressive syntax results in dramatically reduced code verbosity. Fewer tokens allows the LLM to "see" more of the code or context at once.
Semantic Clarity
Ruby's natural language-like syntax aligns perfectly with LLMs' language understanding capabilities.
Rapid Prototyping
Rails' scaffolding and generator tools are tailor-made for quick iterations - a crucial advantage when working with LLMs.
Built-in Best Practices
Rails' opinionated nature embeds industry best practices into its core. This frees up the LLM to focus on higher level abstractions, rather than getting bogged down in non-standard implementations
Comprehensive Ecosystem
The vast Ruby gems ecosystem provides a rich set of pre-built solutions.
Database Abstraction
ActiveRecord's powerful ORM capabilities allow LLMs to generate database interactions without getting bogged down in SQL specifics.
Testing Framework
Rails' integrated testing framework allows LLMs to simultaneously generate application code and corresponding tests.
RESTful Architecture
Rails' built-in support for RESTful design principles enables LLMs to generate well-structured, scalable APIs effortlessly.
Full-stack Capability
Rails' full-stack nature allows LLMs to generate cohesive, end-to-end solutions within a single framework.
Community and Documentation
The extensive Rails community and documentation serve as a rich knowledge base for LLMs.
Metaprogramming
Ruby's powerful metaprogramming capabilities enable LLMs to generate highly dynamic and adaptable code.
In Conclusion
Ruby on Rails isn't just a good choice for LLM code generation - it's the optimal choice. Its concise syntax, semantic clarity, and robust ecosystem create a synergy with AI that no other framework can match. As we move further into the age of AI-assisted development, Ruby on Rails stands out as the framework that will unlock the full potential of LLM-driven coding, revolutionizing the way we build and scale applications. Any other choice is simply settling for less.
What's Not Open Sourced?
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