23% of Devs Regularly Use AI Agents, per Stack Overflow Survey
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.
Transforming Information Into Knowledge
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.
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. […]
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 […]
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.
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.
Professional developers’ adoption of AI tools in the development process has risen rapidly, going from 44% in 2023 to 62% in 2024.
Data streaming platforms are essential for adopting AI/machine learning at enterprise scale, according to nearly two-thirds of IT leaders
51% believe AI-powered code generation will increase demand for professional software developers. However, given the opportunity, 56% of respondents would let an AI assistant write code comments and documentation. In contrast, only 17% would delegate the writing of code to an AI assistant.
While AI/ML gets a lot of attention, it is not the most common use case for data streaming. Real-time analytics is used by 71% of data streamers in the Redpanda survey, followed by 64% supporting e-commerce transactions with streaming data. Internet of Things (IoT), fraud detection and personalization are also commonly supported. A still impressive 47% of survey participants have a situation where AI/ML uses streaming data.
Among the whopping survey respondents who are using or planning to use LLMs, only 27% actually expect a commercial version to be used in production. Almost half (47%) of those with no plans to use a commercial LLM cited a desire not to share proprietary information with vendors. In comparison, only 17% said the reason is because commercial LLMs are too expensive to scale.
44% of developers said they already use AI tools in their development process, and another 26% plan to do so soon. When this group was asked what specific AI-powered developer tools they use, 55% mentioned GitHub Copilot, while 13% use Tabnine and 5% use Amazon Web Services CodeWhisperer. The other seven tools included in the survey were used by no more than 2%.
Although the collaboration tools space is getting more crowded, machine learning and data practitioners still prefer GitHub to other tools, says the latest survey by Kaggle.