CUE is a configuration language designed to validate and define text-based and dynamic configuration through a unified data model.
CUE addresses the problem of managing complex, repetitive configuration across systems by providing a language that combines schema definition, validation, and data generation in one tool. Rather than treating configuration as static files, CUE lets you define constraints and patterns that configuration must satisfy, then generate concrete configurations from those patterns. The language uses a gradual typing system and constraint-based evaluation, allowing you to express relationships between configuration values and catch errors before deployment.
Teams managing infrastructure-as-code, particularly those working with Kubernetes or multi-environment deployments, benefit most from CUE when they need to reduce duplication and enforce consistency across configuration files. The tool suits projects where configuration complexity has grown beyond what simple templating can handle, or where you want validation rules colocated with the configuration schema itself. CUE can import and export JSON, YAML, and other formats, making it compatible with existing toolchains without requiring a complete rewrite.
The project maintains steady development activity with regular updates to the language specification and tooling. The codebase receives consistent refinement of core features and bug fixes. Documentation and examples are actively maintained to support users learning the language. The project engages with community feedback through issue tracking and incorporates improvements based on real-world usage patterns.