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Autonomous Patching for Cloud-Native Workloads

Autonomous Patching for Cloud-Native Workloads

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The cloud-native stack didn’t make security go away—it just spread it across more layers, more repos, more images, and more ...
KubeCon, cloud native, ai, cloud-native,

From Cloud First to Cloud Fit: Rethinking Where Workloads Belong

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Induprakas “Indu” Keri explores why organizations are increasingly shifting from a cloud-first mindset to a cloud-fit strategy as containerized applications ...

LATEST FROM DEVOPS.COM

Checkmarx Extends Vulnerability Detection to AI Coding Tool from AWS

Checkmarx this week revealed it has added support for the Kiro artificial intelligence (AI) coding tool provided by Amazon Web Services (AWS) to its Checkmarx Developer Assist that leverages AI to surface vulnerabilities before code is committed. The Checkmarx IDE extension for Kiro is designed to be activated from within the Developer Assist tab that […] [...]

GitHub Tests AI Agents to Handle Repository Upkeep

GitHub is introducing a new approach to streamline developer workflow, offering AI agents that can shoulder the repetitive tasks that accumulate inside code repositories. Known as Agentic Workflows, the feature is available in technical preview and is designed to embed AI into GitHub Actions as an integrated part of the production process. GitHub promotes Agentic […] [...]

What a ‘Good Plan’ Really Means for AI Coding Agents 

Explore how AI coding agents are transforming software development. This article discusses the importance of clear objectives, runnable tasks, and continuous validation in planning to ensure that the transition from idea to production is seamless and efficient. Learn how effective planning and clarity are essential for modern application development. [...]