Transforming Information Into Knowledge
Transforming Information Into Knowledge
AI may promise faster development, but even many of the fastest devs are still navigating rocky paths to production. That’s the takeaway from a new survey from Temporal, which found that only one in four participants said they experience smooth workflows in their organization. “The […]
78% of this year’s Stack Overflow developer survey use AI tools in the development process, up from 62% last year. We look at the key stats.
AI-specific jobs are on the upswing, according to a new survey of tech talent by the Linux Foundation.
In the arena of GitOps, which is becoming the de facto approach to launching new applications into a cloud native ecosystem, ArgoCD is looking to be the platform of choice. Continuous deployment services provider Octopus Deploy conducted a global survey of 660 IT professionals from […]
Claude, Supermaven and Cursor users are much more likely to say they had a positive experience than users of other AI-based developer tools. Users of Google Gemini, JetBrains AI and Meta’s Llama are much less likely to report having a positive experience with those technologies. […]
Observability and monitoring is the most cited challenge when moving ML models into production. The Institute for Ethical AI & Machine Learning conducted a survey on the state of production ML in the fourth quarter of 2024. The other key takeaway is that custom-built tools […]
“The State of the Cloud Report” has been published for 13 straight years. I’ve read so many of these reports that I’ve seen private cloud usage surge several times amid the broader trend toward multicloud adoption. The latest edition by Flexera provides new data about […]
Ignore the anecdotal stories you’re hearing about AI workloads driving a migration from the cloud to on-premises and private cloud environments. In 2024, only 27% of professional respondents in Anaconda’s latest “State of Data Science” report deploy most of their models to on-premises servers, which […]
Only 35% of these engineers responsible for developer productivity and/or experience actually follow and stay informed of the latest trends and discussions related to developer experience and developer productivity.
AI-assisted development will challenge developers as they review the quality of the code generated and integrate tools into their workflows. There is concern that 1) an increase in AI-generated code actually increases developers’ workload because it requires manual review, and 2) inexperienced developers won’t be able to identify when AI spits out bad code.
Time savings and increased productivity, not code quality, are why developers are using AI. 85% of developers who regularly use an AI tool for coding and other development-related activities say these tools help them perform their job faster. Only 23% say these tools actually improve the quality of the code and solutions being created.
24% of a New Relic survey use AIOps capabilities, down from 41% when the same study was conducted in 2023. The drop may be a response to AIOps’ bad reputation, and a rebranding to AI-powered observability better picks up actual usage patterns.