Concepts
Typeflows treats configuration files as type-safe, composable code objects rather than text files. This section explores the concepts that enable this approach.
Understanding Typeflows
At its core, Typeflows implements Configuration-as-Code through a simple idea: instead of manually creating and maintaining files, you model your entire repository structure as code objects that can be written to disk.
This approach brings the power of programming languages - type-safety, composition, reusability, versioning - to configuration management.
The Typeflows Cycle
Typeflows follows a cycle that improves traditional configuration management:
Author → Share → Consume → Compose → Export
Author
Write configurations as type-safe code using your IDE with full autocomplete, error checking and refactoring support, generate them, or load them from existing resources.
Share
Package your configurations and publish them to artifact repositories as versioned dependencies that others can consume.
Consume
Import configuration packages into your projects, automatically getting updates and improvements as new versions are published via standard software update processes.
Compose
Combine multiple configuration packages and add project-specific customisations to create your complete repository structure.
Export
Generate the actual configuration files in any format (YAML, JSON, Markdown, text, binaries) that your tools expect, using the Typeflows Export task integrated with your build system.
This cycle enables configuration to be managed like software: versioned, tested, shared, and automatically updated across projects.
What Makes Typeflows Different
Traditional configuration management relies on copying files, editing configuration files by hand, and relying on manual processes. Typeflows treats configuration as software, bringing:
- Type Safety: Catch errors at compile time before pushing changes, unlike traditional configuration files that can only be validated by running them
- Composition: Build complex configurations from reusable parts
- Versioning: Track and update configurations like dependencies
- Testing: Validate configurations before deployment
- Tooling: Full IDE support with autocomplete and refactoring
These concepts work together to eliminate configuration drift, reduce errors, and make maintaining infrastructure configurations as reliable as maintaining code.
What would you like to do next?
What is the core philosophy?
How do I start building configurations?