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...Other blog posts, videos, and slides can be found on the website. The core documentation can be found here. Other blog posts, videos and slides can be found on the website.

Documentation can be found on Hackage. Changes between versions are recorded in the change log. When building this package directly from the Git repository, one must run autoreconf -fi to generate the configure script needed by cabal configure. This requires Autoconf to be installed.

...While the core package provides standard functionality, Beam is split up into a variety of backends which provide a means to interface Beam's data query and update DSLs with particular RDBMS backends. Backends can be written and maintained independently of this repository. For example, the beam-MySQL and beam-firebird backends are packaged independently.

...Its design encourages small, reusable building blocks that compose cleanly, while still permitting low-level control where performance matters. The implementation targets efficient compiled code and investigates how advanced type systems can improve reliability in a stack-based language. As a research project, Kitten serves both as a language to experiment with and as a vehicle for ideas about safety and structure in concatenative programming.

...relude has some strong goals and principles that it sticks to. That principles define the library's decisions and might tell you more about the priorities of the library. You can be more productive with a “non-standard” standard library, and relude helps you with writing safer and more efficient code faster. Usage of partial functions can lead to unexpected bugs and runtime exceptions in pure code. The types of partial functions lie about their behaviour. And even if it is not always possible to rely only on total functions, relude strives to encourage best-practices and reduce the chances of introducing a bug.

Haxl is a Haskell library that simplifies access to remote data, such as databases or web-based services. Haxl can automatically batch multiple requests to the same data source, request data from multiple data sources concurrently, cache previous requests, and memoize computations. Having all this handled for you behind the scenes means that your data-fetching code can be much cleaner and clearer than it would otherwise be if it had to worry about optimizing data-fetching. ...

...As a proof-of-concept, it demonstrates how automated tooling can accelerate moving from legacy C to a memory-safe language without a full rewrite.