According to DORA, AI has become standard practice across software teams worldwide. But without organizational foundations like strong platforms and workflows, software delivery remains fragile.
Great technical writing! I find your research fascinating. I'm interested in following and finding out how AI adaptation moves from trust but verify to trust. History proves this is the evolution process of technology, as with the first IBM computers at NASA and the initial smartphones, as well as the testing of self-driving cars now. Eventually, AI will be another tool that we harness to evolve in research and productivity.
Thanks for that perspective! I agree that most new technologies move from skepticism to trust once people get more hands-on with them. What’s interesting in this year’s data is that “trust but verify” might actually be a healthy stage, developers are using AI critically, much like they once did with open-source code or Stack Overflow. The real challenge now is helping organizations put the right foundations in place so that trust can build faster and more sustainably.
Great technical writing! I find your research fascinating. I'm interested in following and finding out how AI adaptation moves from trust but verify to trust. History proves this is the evolution process of technology, as with the first IBM computers at NASA and the initial smartphones, as well as the testing of self-driving cars now. Eventually, AI will be another tool that we harness to evolve in research and productivity.
Thanks for that perspective! I agree that most new technologies move from skepticism to trust once people get more hands-on with them. What’s interesting in this year’s data is that “trust but verify” might actually be a healthy stage, developers are using AI critically, much like they once did with open-source code or Stack Overflow. The real challenge now is helping organizations put the right foundations in place so that trust can build faster and more sustainably.