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Generative AI can enable transformation capabilities when organizations look beyond productivity drivers. Here’s how agile teams are using genAI to accelerate and improve requirements gathering and writing agile user stories.
Security should be a core competency of every developer. Follow these 10 steps to bring security into every phase of the software development life cycle.
Generative AI is redefining software engineering leadership roles by augmenting developer productivity, not eliminating jobs, according to a recent Gartner report.
From AI-driven security design reviews to workflow analysis, dependency graphing, and runtime detection and response, these startups bake security into every stage of the application life cycle.
With a wider variety of environments to handle, IT departments need to keep multiple applications in tune across public and private clouds.
Generative AI brings new opportunities to simplify cloud and IT operations. Here’s how IT leaders are using genAI in incident response, security, cloud infrastructure, and finops.
Platform engineering teams face mounting challenges across their expanding technological landscape. Automation and self-service are the way forward.
Cloud costs add up quickly but so can cloud savings. Here are 14 clever ways to cut costs while still making the most of just about any cloud configuration.
An open source app for use with .NET, the preview looks to assist developers with integrating AI capabilities into apps.
Application modernization isn’t a one-time project but an ongoing commitment to innovation. Here’s how to get started.