Operations | Monitoring | ITSM | DevOps | Cloud

Software development has evolved into a complex symphony of tools, platforms, and processes. While each new tool promises to solve specific challenges, together they’ve created an unexpected burden on development teams. The very solutions meant to streamline our work have paradoxically become a source of friction. A shocking stat from Gartner reveals the scale of this crisis: developers spend only 10-25% of their time actually writing code.

As the demands of modern software development continue to grow, so too does the complexity of DevOps. To keep pace, many organizations are turning to AI-powered assistants that help manage infrastructures, streamline pipelines, and automate repetitive tasks. These assistants are known as copilots, and they promise to enhance productivity while reducing operational overhead. But not all of them are created equal.