Optimizing the DevOps Workflow with Clean Code – Peter McKee, Sonar
The number of developers globally is expected to hit 28.7 million by 2024. That amounts to millions of lines of code being written each day. As developers and lines of code continue to multiply, and pressure to deliver with speed increases, quality often gets sacrificed. Plus, with generative AI added to the mix, we’ll likely have more code with less oversight. All of this is unfolding in a cloud-centric operational environment that’s vastly distributed and highly dynamic. That’s why it’s mission-critical to optimize the DevOps workflow. A new ecosystem of tools and practices embedded in the DevOps workflow that leverage automation and machine learning, and that can interoperate at a much deeper level, is direly needed to overcome bad code and create software that has lasting value. The good news is that this innovation is ramping up — one pivotal example can be seen in the advances being made with Clean Code best practices.
