AI Coding Adoption Hits 97% but Governance Lags Behind
5 Articles
5 Articles
Devs know AI code is riddled with holes, but ship it anyway
Research by AppSec biz Checkmarx finds that 70 percent of developers believe AI-generated code has more vulnerabilities, and 30 percent knowingly ship vulnerable code into production. The report is based on responses from 2,350 global developers, CISOs, and AppSec managers, and follows similar annual surveys since 2023. The number of respondents is 54 percent higher this year than last, and the increased sample size may account for a somewhat su…
Nine in Ten Dev Teams Hit by AI Code Bottlenecks as Governance Lags Behind Adoption
Almost every enterprise development team is now using AI coding assistants, but the same research that confirms that breakthrough adoption rate also reveals a security and governance crisis quietly building in the background. That is the central finding of The State of AI-Powered Software Development, a report published this week by application security firm Black Duck, based on an independent survey of 831 software engineers and DevOps professi…
AI coding adoption rate hits 97%, Black Duck study reveals
In its State of AI-Powered Software Development report released today, application security provider Black Duck found that of more than 800 respondents, AI coding has reached a 97% adoption rate. The study also showed that these tools are more productive than human developers, but they introduce bottlenecks in the areas of security, code review and governance. According to the study, the most urgent problem for organization s adopting AI-powered…
AI Coding Adoption Hits 97% but Governance Lags Behind
Most dev teams use AI coding assistants but only 30% have full governance in place This article has been indexed from www.infosecurity-magazine.com Read the original article: AI Coding Adoption Hits 97% but Governance Lags Behind The post AI Coding Adoption Hits 97% but Governance Lags Behind appeared first on IT Security News.
Survey Surfaces Emerging DevOps Bottlenecks in the AI Coding Era
A survey of 831 software engineers and DevOps professionals published today identifies manual reviews (52%), security testing (51%), code rework (48%) and prompt iteration (41%) as the major bottlenecks that software engineering teams are encountering in the age of artificial intelligence (AI) coding. Conducted by the market research firm User Evidence on behalf of Black Duck Software, the survey finds 41% of respondents have incorporated AI cod…
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