ChatGPT’s ability to translate natural language into working code has sparked tremendous interest in the programming community. Developers are exploring ways to use ChatGPT to reduce redundant tasks, from creating code snippets to analyzing and debugging programs. This also allows them to focus on more complex tasks like data analysis and monitoring with the help […]
0 CommentsIn this week’s #TheLongView: SUSE announces a Red Hat Enterprise Linux fork after Oracle said a similar thing, and Sarah Silverman says OpenAI and Meta have stolen her words. Source: DevOps.com
0 CommentsJFrog is adding a curation capability for open source software that will use metadata generated by binaries to identify malicious packages and software components with licensing issues. Source: DevOps.com
0 CommentsSome of the most alluring uses of LLMs could lead to terrible outcomes for enterprises and their DevOps and platform engineering teams. Source: DevOps.com
0 CommentsTool everything, because the software delivery toolchain is now the core of application development and deployment, Don MacVittie advises. Source: DevOps.com
0 CommentsTricentis has acquired Waldo to expand the scope of the automated testing capabilities it provides for mobile applications. Source: DevOps.com
0 CommentsBigPanda added generative artificial intelligence (AI) capabilities to analyze incidents surfaced by its AI for IT operations (AIOps) platform. Source: DevOps.com
0 CommentsRoadie today made generally available a tool that automatically tracks and reports how software development teams are performing against engineering standards defined by a DevOps team. The Tech Insights tool is an addition to Roadie’s implementation of the open source Backstage developer portal and is delivered via a software-as-a-service (SaaS) platform. Roadie CEO David Tuite […]
0 CommentsThese four tips will help ensure the developer experience is not your Achilles heel in fueling business performance. Source: DevOps.com
0 CommentsStack Overflow’s 2023 developer survey reveals insights into programming language and tooling preferences and the use of AI in the development workflow. Here’s what these trends could mean for DevOps. Source: DevOps.com
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