What’s Ahead for AI-Assisted Coding, Open Source and More

AI-assisted development will challenge developers as they review the quality of the code generated and integrate tools into their workflows. Many of the 17 experts who answered this question expressed concern that an increase in AI-generated code actually increases developers’ workload because it requires manual review. Several experts worry that inexperienced developers won’t be able to identify when AI spits out bad code. Security and trust were other challenges cited.

AI Will Drive Streaming Data Use — But Not Yet, Report Says

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.

How Important Is Open Source to AI Adoption?  

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.

70% of Devs Using or Will Use AI, Says Stack Overflow Survey

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%.