For a few years, the DORA metrics have been the gold customary when it got here to measuring software program growth efficiency, however in line with JetBrains State of Developer Ecosystem 2025 report, builders right this moment 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 well from failures.
In line with JetBrains’ report, 51% of respondents say that technical components are crucial to efficiency and 62% say non-technical components are. “Inside collaboration, communication, and readability at the moment are simply as necessary as quicker CI pipelines or higher IDEs,” JetBrains wrote.
Sixty-six p.c of respondents consider that present metrics don’t mirror their true contributions. Eighty-nine p.c say that non-technical components—job design, clear communication, peer and supervisor assist, and actionable suggestions—affect their productiveness, whereas 84% say technical components—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 way in which they’re achieved,” JetBrains wrote.
The report additionally checked out how builders are utilizing AI instruments, with 85% saying they frequently 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.
Nonetheless, there’s nonetheless a mixture of emotions round AI’s function in society, with 51% having optimistic emotions, 28% having unfavorable emotions, and 18% feeling unsure.
In line with the report, the event actions that builders are most definitely to let AI deal with embrace writing boilerplate code, trying to find growth data on-line, translating code into different languages, writing code feedback or documentation, and summarizing latest code adjustments.
The most important considerations builders have about utilizing AI instruments embrace inconsistent high quality, the restricted understanding AI instruments have of advanced code and logic, privateness and safety dangers, the potential unfavorable influence on their very own coding abilities, 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 line with JetBrains, the highest 5 languages that builders want to undertake subsequent embrace 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 information from 24,534 builders.
