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The progressive Ruby-powered framework for AI-optimized, high-performance web experiences.

Bridgetown is a next-generation, progressive web framework for Ruby that bridges the gap between traditional static site generators and modern full-stack frameworks. In the 2026 landscape, Bridgetown has emerged as a preferred architectural choice for AI-native companies seeking an alternative to heavy JavaScript-centric stacks like Next.js. Its technical architecture is built on Ruby, leveraging the Roda web toolkit for high-performance routing and the Zeitwerk autoloader for seamless development. Unlike its predecessor Jekyll, Bridgetown is designed for the modern era with a decoupled frontend, native Esbuild integration, and support for Server-Side Rendering (SSR) alongside Static Site Generation (SSG). This 'hybrid' approach allows developers to deliver lightning-fast, SEO-optimized content hubs while maintaining the ability to execute dynamic AI-driven queries at the edge. By 2026, its ecosystem has expanded to include deep integration with RAG (Retrieval-Augmented Generation) pipelines, allowing developers to generate static documentation from vector databases with high efficiency, positioning Bridgetown as a critical tool for AI infrastructure documentation and technical knowledge bases.
Bridgetown is a next-generation, progressive web framework for Ruby that bridges the gap between traditional static site generators and modern full-stack frameworks.
Explore all tools that specialize in ssr/ssg rendering. This domain focus ensures Bridgetown delivers optimized results for this specific requirement.
Allows developers to treat any data source (API, Database, File) as a first-class Bridgetown Resource.
Supports 'islands' of interactivity using Lit or Turbo within a static shell.
Integrated Roda routing allows for real-time dynamic page generation when static generation isn't feasible.
Modern Ruby code loading that enables zero-restart development for most logic changes.
Bundles JS and CSS using the fastest compiler available without the complexity of Webpack.
Supports both Liquid and ERB templates simultaneously during migration or complex logic requirements.
Programmatic hooks to alter content via AI services during the build process.
Install Ruby 3.2+ on your local environment using rbenv or asdf.
Install the Bridgetown gem via 'gem install bridgetown'.
Execute 'bridgetown new my_ai_project' to scaffold the framework.
Configure the bridgetown.config.yml file for environment-specific settings.
Define data structures in the 'src/_data' directory for content orchestration.
Utilize 'bridgetown start' to launch the local development server with live reloading.
Integrate frontend assets via the built-in Esbuild configuration.
Implement Ruby-based 'Resources' to pull data from external AI APIs or Vector DBs.
Run 'bridgetown deploy' to generate a production-ready static build.
Point your edge provider (Netlify/Vercel) to the generated 'output' folder.
All Set
Ready to go
Verified feedback from other users.
"Users praise its modern take on Ruby web development and its massive performance boost over Jekyll, though some note a steeper learning curve for those unfamiliar with Roda."
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