#scala

#scala

ZIO uses a lightweight concurrency model based on fibers, enabling efficient execution of thousands of tasks concurrently on few actual JVM threads.

Sangria GraphQL offers a robust implementation for Scala, enabling developers to create expressive and efficient GraphQL APIs while leveraging Scala's type system and functional programming principles.

Workflows4s combines type-safe definitions, event-sourced persistence, and rich operators to create a unique, cohesive solution for workflow automation in Scala.

In Java, the try-with-resources statement automates resource management, closing resources after use, while in Scala, similar functionality is provided by the scala.util.Using utility.

#.*\s is an efficient regex pattern that captures everything after the '#' symbol, including optional spaces at the end of the line, ensuring clean code without comments.

The sttp library in Scala simplifies making HTTP requests, enabling developers to easily interact with web APIs, like sending messages using Telegram bots.

Akka provides powerful scheduling capabilities to execute tasks at fixed intervals or after certain delays, beneficial for background tasks, health checks, and cache invalidation.

The chess application should start with a standard chess setup, allowing alternating turns for players while respecting the rules of piece movements.

Scala's Future abstracts away traditional multi-threading complexities, allowing asynchronous computations that enhance performance while keeping the main application responsive.

Declarative programming allows us to express what we want, rather than how we want it done, highlighting clarity and simplicity in code design.