By Lisa Morgan
“DevOps has always been focused on this hand-coding mentality,” said Jason Bloomberg, founder and president of industry analyst firm Intellyx. “It’s increasingly difficult to do DevOps without low-code because the hand-coding is the bottleneck.”
As with all other tools, low-code/no-code platforms are adding machine learning and AI capabilities to increase
coding efficiency, but they still aren’t capable of handling every nuance enterprise application development and delivery entails. Generally speaking, organizations are happy to talk about their CI/CD efforts or their low-code/no-code development efforts, but it’s a rare occurrence for organizations to talk about both simultaneously, at least for now.
“A lot of times the tools to continuously deliver are built into the product. But those tools become inefficient when you try to do something that the tool isn’t expressly designed to do,” said Justin Rodenbostel, VP of delivery at digital transformation agency SPR. “As long as you can run it on the command line, you can automate it and you can schedule it to run continuously or based on some hook. Doing the same thing with low-code/no-code tools is totally dependent on the capabilities of the individual tool, so you’re coupling your CI/CD capabilities with the low-code/no-code tools that you’re using whereas in the custom dev world, those two things can be totally separate. You can use the same CD tools to deploy everything or you can have everything use their own CI/CD tool. There’s a limitless number of combinations there.”
