What and where precision matters

It is well known in all programming languages the floating point math loses some accuracy. Therefore we have something like the following statement 0.1 + 0.2 != 0.3 This is explained in detail in here, but basically, is because some fractional numbers aren’t well represented on binary, and the carryover loses accuracy, but it keeps precise. There are several ways to mitigate this effect, the most known use double numbers or big decimal representations, the problem with those is the operations tend to use more computing resources, especially with BigNumbers, that usually are objects with large strings and complicated math behind.

Heroku hybrid application with Go and Ruby

As a ruby developer I like how easy and convenient is to have an asset pipeline, specially when your frontend gets larger or complex. Serve fewer and smaller files is a good practice on web development, however the best tool(that I know) for asset pipeline is sprockets, and is really hard to build from scratch an asset pipeline handler with compression and minification. Instead of reinvent the wheel, lets use it.

Benchmark tools for Rubyist

When in doubt test it! Sometimes in the development process you might find yourself with the need to know if a component is performing better or worse, there are couple ways to get that information, one is through run benchmarks and you could do it from server side handling it as another test within your suite, or you can test the response times on your app with some external tools to get a better profile.

Speed things up with Go

Oauth Tips

As all we know oauth its one of the most popular methods to signup to many websites throught another 3rd patry services, and at this point probably you should know how to implement with omniauth gem. But many times we encounter some problems durning the development of this fancy feature. Here are my recomendations