Code with AI that actually understands your app
The first AI coding tool built exclusively for Ruby on Rails. Runtime-aware context and persistent understanding that makes vibe coding actually work for real codebases.
See the FutureAI coding is the future, but there's a problem...
AI coding (vibe coding) is the most exciting frontier in software development. Cursor, Windsurf, and Claude Code are leading the wave with millions of users.
Current AI tools excel at creating new code from scratch, but they can't reliably edit existing codebases. They lack the deep context needed for real development.
Developer tools market is $30B+ and growing. AI coding represents the biggest shift since Git and IDEs. First-mover advantage in specialized markets is massive.
Current tools fail when it matters most
Adding a field to a form, refactoring a method, or updating existing features becomes a nightmare. AI makes assumptions instead of understanding your actual codebase.
RAG, Embeddings, keyword grep, and LSP aren't enough. Context extraction is unreliable, and developers can't see or fix what the AI thinks it knows about their code.
One developer spends 1 hour "vibe coding" and 5 hours debugging. Another developer needs 10+ hours for the same debugging. No shared understanding.
Supporting all languages = surface-level understanding
Lightweight gem + web UI + Redis context layer. We hook into your Rails runtime to understand exactly how your models, controllers, and views connect—no guessing.
Unlike brittle embeddings, our context graph is editable and persistent. Team members can review, correct, and improve what the AI knows about your codebase.
Deep understanding of Rails conventions, patterns, and ecosystem. We know ActiveRecord, Rails routing, MVC patterns—not just Ruby syntax. Think: AI pair programmer who actually knows your app.
The most successful startups are built on Rails
Airbnb ($75B), Stripe ($95B), Coinbase ($8B), Instacart ($24B), Chime ($25B)—all built on Rails. Most popular framework for YC startups building fast-moving products.
100,000+ active Rails engineers globally. Rails devs are convention-heavy, tool-hungry, and early adopters. They understand the value of developer productivity tools.
Rails is just the beginning. Once we perfect the approach, we'll expand to Django, Laravel, Node.js. Focus beats breadth—nail one ecosystem first.
Rails developers are early adopters who understand the value of productivity tools. They're willing to pay for solutions that save time and reduce complexity.
Rails' strong conventions make it perfect for AI understanding. Predictable patterns, established best practices, and consistent architecture enable deeper AI comprehension.
Master Rails first, then expand to Django, Laravel, and Node.js. Focus beats breadth—nail one ecosystem before moving to the next.
Simple questions that break current AI tools
Runtime-aware architecture that actually understands your Rails app
Lightweight integration with deep Rails understanding
Specialized beats generalized - every time
| Feature | Cursor | Windsurf | Claude Code | Cursurf |
|---|---|---|---|---|
| Language Support | All languages | All languages | All languages | Rails-native |
| Code Awareness | Static analysis | LSP + heuristics | File-based | Runtime-aware |
| Context Quality | inaccurate inexplicit | inaccurate inexplicit | inaccurate inexplicit | accurate and team mantained |
| Editable Context | ❌ | ❌ | ❌ | ✅ |
| Team Collaboration | Basic | Basic | None | Advanced |
| Framework Understanding | Surface-level | Surface-level | Surface-level | Deep Rails knowledge |
| Existing Codebase Edits | Unreliable | Unreliable | Unreliable | Reliable |
While competitors try to support every language poorly, we master one ecosystem completely. Rails conventions, patterns, and best practices are deeply understood.
Rails developers are productivity-obsessed early adopters. They understand the value of specialized tools and are willing to pay premium prices for them. In pre AI world, Rubymine was a good example.
Rails community is tight-knit and influential. Success with Rails developers creates viral growth and word-of-mouth marketing.
Strategic choice between developer tools vs. low-code platform
We're beginning with the developer tools market because:
Path to $10M+ ARR in Rails AI coding
Deep Rails expertise meets AI coding vision
Unlike generalist AI coding founders, I AM the customer. I've felt every pain point, used every competitor, and know exactly what Rails developers need.
Built Rails apps serving millions of users at unicorn companies. I understand the complexity that breaks current AI tools.
Built full-stack Rails applications from prototype to production scale. Deep understanding of Rails architecture, conventions, and real-world development challenges that AI tools must solve.
No learning curve on Rails internals, conventions, or ecosystem. Can build Rails-native features that would take generalist teams months to understand.
$2M Pre-Seed to Build the Future of Rails Development
To Product-Market Fit
To Series A Readiness
From Rails developers to low-code creators
We’ll become the go-to AI coding tool for serious Rails teams. From startups to enterprises, Cursurf will be the trusted developer companion for building and maintaining production-grade Rails apps.
Once we fully understand and structure Rails apps with AI, we’ll unlock a powerful backend low-code platform—letting non-developers build internal tools, workflows, and APIs, just like Lovable did for React UIs.
After Rails, we’ll bring our runtime-aware + context-editable approach to Django, Laravel, and Node.js. Each ecosystem gets the depth and specialization it deserves—no more one-size-fits-all AI.