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Red Hat Developer Hub is an internal developer platform that provides an opinionated framework and set of templates designed to overcome devops bottlenecks.
The JFrog Amazon SageMaker integration incorporates machine learning models into the software development lifecycle.
The first wave of generative AI-augmented software testing and automation tools has arrived. Here’s how QA and devops teams will measure their impact.
Flowpipe allows you to create complex and highly parallel workflows in a declarative style using the standard devops configuration language, HCL.
Tests that pass on one run and fail the next, despite no relevant changes to the code, threaten software quality, the speed of delivery, and the happiness of developers.
High-level skills such as validating and monitoring LLMs and learning the AI stack are good areas for technologists to tackle.
AI, digital twin technologies, platform engineering, and chaos engineering are transforming software development and bringing greater automation, productivity, and resilience to devops.
Worried about burning out your DevSecOps team/ Here are three ways that teams and managers can protect their serenity while staying productive.
How we can take advantage of generative AI, common application structures, and systematic code reuse to drive faster and more innovative digital product development.
InfoWorld recognizes the year’s best products in software development, cloud computing, data analytics, AI, and machine learning.