Kotlin is one of the most versatile programming languages available, in large part because of the Kotlin team’s focus on bringing it to as many platforms as possible. It is the primary language for developing Android applications and is popular for JVM backends. Kotlin also features targets for native binary compilation with Kotlin/Native, and for web through Kotlin/JS. One of its most promising features is the ability to target multiple platforms it compiles to.

Testing is one of those activities that if not exhaustive will not have its complete impact on your software development process. Oftentimes developers are only concerned about testing the application layer of the system (a.k.a the codebase) and ignore testing the data layer (the database) which is also as important as testing the code itself.

Today is CircleCI’s 10-year anniversary. I sent the whole staff an email that captures the sentiment of this important moment and I wanted to share it with you here. It offers a glimpse into what we’ve accomplished as an organization in the last decade and how much more we’ll accomplish in the decades to come.

Today we’re sharing findings from The Total Economic Impact™ Of CircleCI, a commissioned study conducted by Forrester Consulting on behalf of CircleCI. The study revealed that CircleCI delivered a 664% return on investment (ROI) over a three-year period and highlighted that our platform increased developer productivity by 10%. This results in a greater efficiency value of more than $4.3 million, enabling organizations to increase engineering velocity that drives business success.

If you maintain a Ruby gem, you are definitely familiar with the recurring manual tasks surrounding the release of a new version. After doing this for a while, you inevitably start thinking that some of these steps could be automated. They can! With a few lines of code, you can bring the amazing world of continuous delivery to your project and increase the reliability of the whole process while freeing up some of your time. Double win!

Programming is as much an art as it is a science. Personal preference plays a large role in determining your programming style, so you may not be surprised to find yourself in a debates with a peer. One ongoing debate is the choice between two different programming paradigms called functional programming and object-oriented programming. Which one is better? Which should you use?

With companies expecting software products to handle constantly increasing volumes of requests and network bandwidth use, apps must be primed for scale. If you need resilient, resource-conserving systems with rapid delivery, it is time to design a distributed system. To successfully architect a heterogeneous, secure, fault-tolerant, and efficient distributed system, you need conscientiousness and some level of experience.

The first time I was tasked with maintaining a production server, I relied on a checklist my predecessor had left for me. The checklist contained all the maintenance steps along with their corresponding commands. In those early days, I religiously copied each command, double- and triple-checking each character before pressing the Enter key. Slowly but surely, the commands got committed to memory until one day I realized I did not need the checklist.

As the demands placed on technology have grown, so has the size and complexity of our applications. Today’s developers often face the difficult task of managing huge applications. Further complicating matters is the underlying infrastructure, which can often be as expansive, diverse, and complicated as its applications. The complexity of modern applications introduces many challenges.