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Give AI coding agents live Rails context for faster development and debugging.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "rails-ai-context" yet — see the docs or source repo.
Using the current Rails project's schema, models, routes, and naming conventions, add a refund feature to the order system. Generate the controller, model associations, routes, and tests while following the existing code style as closely as possible.
Produces refund feature code and tests aligned with the current Rails project structure and conventions.
Read this Rails project's routes, models, and schema, then tell me which controller and route path power the user profile edit page, what model relationships are involved, and which files likely need changes.
Returns the relevant routes, controller, model relationships, and a suggested file list to update.
Using the current Rails project's schema, models, and routes, analyze why tags are not being saved when creating an article. List likely causes, debugging steps, and suggested fixes.
Provides context-aware root cause analysis, debugging steps, and recommended fixes.
Read, search, and update codebase documentation context through MCP.
Control a running Emacs via MCP for editing and status checks.
Gives AI coding agents a structural map of your repository fast.
Helps AI map unfamiliar TypeScript SaaS repos, risks, and critical flows.
Generate local AI context and rule files for any repository.
Manage Railway projects, deployments, variables, and domains directly in AI chat.