Transforming Information Into Knowledge
Transforming Information Into Knowledge
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.
Saving money, rather than innovation or modernization demands, is now the leading reason why organizations use open source software, according to OpenLogic’s latest report.
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.
Despite competitors’ claims, cloud service providers and open source frameworks are seen as effective for risk management, reports the Cloud Security Alliance.
Solana’s push towards community may be paying off as it had more developers participating than the other Web3 projects.
Women, non-binary, LGBTQ+, and people with disabilities were twice as likely to have experienced threats of violence in the context of an open source project.
Developers who spend most of their time doing software development for a private company’s repositories (47%) or are focused on an open source project while working for a private company (5.5%) behave differently than those other professional developers (13.5%) and students (29%) that are still engaged in the open source community.
Developers who spend most of their time doing software development for a private company’s repositories (47%) or are focused on an open source project while working for a private company (5.5%) behave differently than those other professional developers (13.5%) and students (29%) that are still engaged in the open source community.
Sixty-three percent of participants in a new survey said their OSPO is at least very business-critical to their IT teams, up from 54% in 2020’s study.
The largest cluster of Linux Foundation AI and Data Foundation project developers is located in China’s time zones. Baidu, Huawei, Tencent are represented on the foundation’s board, but Alibaba has forged a different path, with some of its data projects having been previously moved to the Apache Software Foundation.
Half of all open source contributors are never encouraged to use digital signatures when making changes to the open source projects they’re involved with according to the “2020 FOSS Contributor Survey.”