Autostrada is a powerful application scaffold generator for Go web applications and APIs. It creates a fully-functioning application foundation with all setup steps and package integrations taken care of, allowing you to focus on your application-specific code.
Key benefits include:
Time-saving setup - eliminates boring boilerplate work
Sensible structure - provides clear, idiomatic Go code with minimal complexity
Full control - generated code is your application, not a third-party framework
Useful helpers - includes helpers for common tasks like JSON parsing and HTML templates
Customizable features - includes only what you need, reducing dependencies
Build a fully featured SaaS app with Primate.js and Svelte
Go
JavaScript
Python
Ruby
TypeScript
Angular
Handlebars
HTMX
Markdown
Marko
React
Solid
MongoDB
MySQL
PostgreSQL
SQLite
SurrealDB
Stripe
Analog
Next.js
Nuxt
Primate.js
Svelte
SvelteKit
Vue.js
Features:
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Frequently Asked Questions
Go
What makes Go ideal for SaaS development?
Go excels in SaaS development due to its robust ecosystem, strong typing capabilities, and excellent library support. Go boilerplates leverage language-specific features to provide type-safe database queries, efficient API routing, and optimized runtime performance. The language's maturity means you get battle-tested packages for authentication, payment processing, and background jobs that integrate seamlessly.
Chi
What Chi-specific architecture patterns are implemented?
Chi boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement Chi's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows Chi's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.
Flow
What Flow-specific architecture patterns are implemented?
Flow boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement Flow's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows Flow's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.
Gorilla Mux
What Gorilla Mux-specific architecture patterns are implemented?
Gorilla Mux boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement Gorilla Mux's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows Gorilla Mux's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.
http.ServeMux
What http.ServeMux-specific architecture patterns are implemented?
http.ServeMux boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement http.ServeMux's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows http.ServeMux's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.
HttpRouter
What HttpRouter-specific architecture patterns are implemented?
HttpRouter boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement HttpRouter's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows HttpRouter's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.
HTML
What HTML-specific component architecture is used?
HTML boilerplates follow the framework's component composition patterns with reusable, atomic design components. They implement HTML's best practices for component structure, props handling, event management, and lifecycle methods. The component library includes authentication flows, dashboards, data tables, forms with validation, and navigation—all built with HTML's native features like hooks (React), composition API (Vue), or directives (Angular).
MySQL
What MySQL-specific features are leveraged in these boilerplates?
MySQL boilerplates utilize the database's native capabilities including its transaction model (ACID for SQL, eventual consistency for NoSQL), indexing strategies (B-tree, GiST, full-text search), and advanced features like JSON columns, array types, window functions, or document queries. The schema design takes advantage of MySQL's strengths—whether that's PostgreSQL's JSONB, MySQL's full-text search, MongoDB's aggregation pipeline, or Redis's data structures.
PostgreSQL
What PostgreSQL-specific features are leveraged in these boilerplates?
PostgreSQL boilerplates utilize the database's native capabilities including its transaction model (ACID for SQL, eventual consistency for NoSQL), indexing strategies (B-tree, GiST, full-text search), and advanced features like JSON columns, array types, window functions, or document queries. The schema design takes advantage of PostgreSQL's strengths—whether that's PostgreSQL's JSONB, MySQL's full-text search, MongoDB's aggregation pipeline, or Redis's data structures.
SQLite
What SQLite-specific features are leveraged in these boilerplates?
SQLite boilerplates utilize the database's native capabilities including its transaction model (ACID for SQL, eventual consistency for NoSQL), indexing strategies (B-tree, GiST, full-text search), and advanced features like JSON columns, array types, window functions, or document queries. The schema design takes advantage of SQLite's strengths—whether that's PostgreSQL's JSONB, MySQL's full-text search, MongoDB's aggregation pipeline, or Redis's data structures.
Go
What Go-specific tools and libraries are included?
Go boilerplates include the language's most popular and production-proven tools. This typically includes testing frameworks, linters, formatters, build tools, and package managers specific to Go. You'll get pre-configured toolchains that enforce best practices, automated testing pipelines, and development environments optimized for Go development workflows.
Chi
How does Chi's ORM/database layer work in these boilerplates?
Chi boilerplates use the framework's native ORM or query builder (Prisma, Eloquent, Active Record, SQLAlchemy, etc.) with pre-configured models for users, subscriptions, teams, and common SaaS entities. They include optimized queries, relationships, migrations, seeders, and database connection pooling. The implementation leverages Chi's specific features like eager loading, query scopes, and transaction handling for performance.
Flow
How does Flow's ORM/database layer work in these boilerplates?
Flow boilerplates use the framework's native ORM or query builder (Prisma, Eloquent, Active Record, SQLAlchemy, etc.) with pre-configured models for users, subscriptions, teams, and common SaaS entities. They include optimized queries, relationships, migrations, seeders, and database connection pooling. The implementation leverages Flow's specific features like eager loading, query scopes, and transaction handling for performance.
Gorilla Mux
How does Gorilla Mux's ORM/database layer work in these boilerplates?
Gorilla Mux boilerplates use the framework's native ORM or query builder (Prisma, Eloquent, Active Record, SQLAlchemy, etc.) with pre-configured models for users, subscriptions, teams, and common SaaS entities. They include optimized queries, relationships, migrations, seeders, and database connection pooling. The implementation leverages Gorilla Mux's specific features like eager loading, query scopes, and transaction handling for performance.
http.ServeMux
How does http.ServeMux's ORM/database layer work in these boilerplates?
http.ServeMux boilerplates use the framework's native ORM or query builder (Prisma, Eloquent, Active Record, SQLAlchemy, etc.) with pre-configured models for users, subscriptions, teams, and common SaaS entities. They include optimized queries, relationships, migrations, seeders, and database connection pooling. The implementation leverages http.ServeMux's specific features like eager loading, query scopes, and transaction handling for performance.
