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Dependency Scanning Auto-Remediation, now in beta, uses AI to fix build-breaking changes and iterates until the pipeline passes.
New AI tools are giving SREs better ways to manage outages and problems, while at the same time AI-generated code increases the problems SREs must face.
Modern JavaScript teams do not just need more vulnerability reports. They need dependency decisions that developers can understand before risky code becomes part of the application.
Black-box AI may have been acceptable when AI primarily generated predictions. It becomes far more problematic when AI begins taking actions.
Using APIs to enforce policy at the boundary between interacting systems is no longer enough.
Azul’s free risk assessment for Java estates addresses the blind spot that autonomous AI exploitation tools are increasingly able to find, the company said.
GPU hardware was never built for safe multitenant use, fast fault recovery, or clean isolation between workloads. How do we fix that?
Both the Spring Java community and users buying commercial support from Broadcom Tanzu will benefit, but paid users get extra perks.
AI-powered tools can help teams accelerate processes throughout the software development life cycle. Here’s how to make them work.
The $5 billion Project Lightwell initiative combines AI systems with 20,000 engineers to deliver validated fixes directly into enterprise software supply chains without disruptive upgrades.