For a few years, the DORA metrics had been the gold commonplace when it got here to measuring software program growth efficiency, however in line with JetBrains State of Developer Ecosystem 2025 report, builders as we speak need to be measured on extra than simply technical metrics.
DORA tracks 4 metrics: frequency of deployments, period of time between acceptance and deployment, frequency of deployment failures, and the way lengthy it takes to get better from failures.
In response to JetBrains’ report, 51% of respondents say that technical elements are essential to efficiency and 62% say non-technical elements are. “Inner collaboration, communication, and readability at the moment are simply as vital as sooner CI pipelines or higher IDEs,” JetBrains wrote.
Sixty-six p.c of respondents imagine that present metrics don’t mirror their true contributions. Eighty-nine p.c say that non-technical elements—job design, clear communication, peer and supervisor help, and actionable suggestions—affect their productiveness, whereas 84% say technical elements—efficiency and reliability of growth instruments—affect their productiveness.
“The info suggests it’s time to rethink how we measure success and to construct work environments that reward not simply outcomes, however the best way they’re achieved,” JetBrains wrote.
The report additionally checked out how builders are utilizing AI instruments, with 85% saying they usually use AI instruments of their growth workflow. For these utilizing it, virtually 9 out of 10 builders say they save at the least an hour each week and one in 5 saves greater than eight hours.
Nevertheless, there’s nonetheless a mixture of emotions round AI’s position in society, with 51% having constructive emotions, 28% having destructive emotions, and 18% feeling unsure.
In response to the report, the event actions that builders are most definitely to let AI deal with embody writing boilerplate code, trying to find growth data on-line, translating code into different languages, writing code feedback or documentation, and summarizing latest code modifications.
The most important considerations builders have about utilizing AI instruments embody inconsistent high quality, the restricted understanding AI instruments have of advanced code and logic, privateness and safety dangers, the potential destructive influence on their very own coding expertise, and lack of context consciousness by the AI instruments.
The report additionally checked out language reputation, highlighting the truth that TypeScript has seen a major rise in real-world utilization over the previous 5 years, as have Rust, Go, and Kotlin.
In response to JetBrains, the highest 5 languages that builders want to undertake subsequent embody Go (11% of builders), Rust (10%), Python (7%), Kotlin (6%), and TypeScript (6%).
JetBrains performed this survey between April and June of this yr, and the ultimate report contains knowledge from 24,534 builders.
