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CUE is an open source data constraint language which aims to simplify tasks involving defining and using data. CUE merges the notion of schema and data. The same CUE definition can simultaneously be used for validating data and act as a template to reduce boilerplate. Schema definition is enriched with fine-grained value definitions and default values. At the same time, data can be simplified by removing values implied by such detailed definitions. The merging of these two concepts enables...

...From there, it expands into Go’s practical structure for real projects, including modules, packages, and workspaces, plus useful commands for building and working with programs. The content is designed to make Go’s priorities tangible: simplicity, reliability, and efficiency, while still giving you enough depth to write idiomatic code. It also anchors learning in credible references, pointing to official documentation, the Go blog, and widely used learning resources. In practice, it serves as a guided path you can follow linearly or revisit as a reference when you hit common Go questions in day-to-day work.

...The language emphasises readability and pushing logic out into functions so cases remain simple. It includes concurrency via a map function that executes callbacks in parallel. The project is illustrative of Duffield’s vision: code should feel “magical to write” by removing what is unnecessary.

Go Blueprints is the official source code repository for Mat Ryer’s book Go Programming Blueprints. It provides the example projects and supporting code used throughout the book. The repository is meant to help readers follow along, study working implementations, and experiment with practical Go application patterns. It includes materials for different editions of the book, making it useful for readers depending on the version they own.