How can you make sure your Ruby on Rails application is secure?
Let’s take a lot at some Ruby security patterns (that you can enforce with Codacy today).
47 Degrees is a global consulting firm focused on Scala, Akka, the Play Framework and Spark. They’re Lightbend and Databricks certified partners and they also have experts in Android and iOS.
Check out some of their projects.
They do custom projects for their clients and help many of these companies migrate from Java and other languages to Scala and adopt the new tools that come with this technology.
It is also relevant to mention that they are very active members of the Scala community; they organize several events and attend and speak at many others.
47 Degrees recently joined the Scala Center Advisory Board, where it will be represented by its co-founder and CTO: Raúl Raja.
We spoke with Raúl. (more…)
In addition to our cloud SaaS product Codacy.com, we also offer an on-premises solution that our clients can install on their infrastructure behind a firewall. As we are seeing more and more companies adopting GitLab, we are happy to announce today that Codacy’s Enterprise version now integrates with GitLab.
After you enable this integration in your account you’ll be able to add repos with one click; private repositories are added with a unique private deployment key (to avoid key reusage).
This adds support for Merge Requests (each Merge Request is updated with a status once the analysis has finished), post-commit hooks (for faster analysis) and auto-comments (on the issue line).
The auto-comments integration in GitLab enables engineering team to directly get feedback in GitLab. Get new security, code style issues or best practices issues directly into your GitLab pull-request.
Interested in learning more on how Codacy can help you and your engineering team ship better code faster? Get in touch now!
Pretty much every main programming language supports Regular Expressions, and many static analysis tools have patterns that relate to regular expressions.
So before you look, tell us: would you expect these patterns to be the same from language to language? Totally different?
Here’s what I found: