Supporting today’s DevOps — where AI is involved — requires developers to switch from seeing observability as a solely technical aspect to thinking of it as a way to explain what happens in the system Source: DevOps.com
0 CommentsTo encourage effective AI use among developers and smooth the path to adoption, enterprises must define clear use cases for AI agents. Source: DevOps.com
0 CommentsAlthough having options gives developers more ways to solve specific project requirements, an excessive number of choices can be overwhelming, leading to indecision, procrastination, suboptimal selections or even complete inaction. Source: DevOps.com
0 CommentsJFrog and NVIDIA today announced they have expanded the integrations between their software development platforms to now include the Enterprise AI Factory, a set of frameworks and blueprints for building artificial intelligence (AI) applications. As a result, software artifacts created using the NVIDIA Enterprise AI Factory can be housed in the JFrog Software Supply Chain […]
0 CommentsThe AI skills gap is widening, and today’s developers are expected to keep up. AI, used in conjunction with a powerful enterprise-grade low-code platform, holds significant potential to help bridge this gap when harnessed accessibly for smarter, faster development. Source: DevOps.com
0 CommentsAn in-depth look at AI-native testing and the capability it has of pushing things through the DevOps pipeline, faster. Source: DevOps.com
0 CommentsDatadog at its DASH 2025 conference today previewed a raft of artificial intelligence (AI) agents that automate tasks ranging from assessing infrastructure alerts that normally require the expertise of a site reliability engineer (SRE), to fixing code and triaging cybersecurity issues using the company’s security information event management (SIEM) platform. In addition, Datadog is also […]
0 CommentsPerforce Software CEO Jim Cassens dives into how the company’s overall approach to DevOps is evolving in the wake of a series of acquisitions. Cassens talks through the company’s recent spate of acquisitions and how thoughtful integration—not just portfolio expansion—is driving value for customers. He also highlights the growing role of synthetic data, AI-enhanced testing […]
0 CommentsDigital.ai CTO Wing To delves into how the way code is written, deployed and managed will fundamentally change in the artificial intelligence (AI) era. Cutting through the extremes, AI won’t erase entry-level dev jobs, nor will it fully replace senior developers. Instead, it’s changing what both groups focus on. Entry-level devs will need to learn […]
0 CommentsZencoder today made available a public beta of an artificial intelligence (AI) agent that extends its platform for writing code into the realm of application testing. Company CEO Andrew Filev said Zentester in addition to making it simple for application developers to test their own code, will augment DevOps teams by making it possible to […]
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