Picture this: You're working late to troubleshoot a production issue and an AI assistant suggests a fix in seconds. Problem solved, right? Not quite. While it seems like it should be easy to use AI assistance, where do you start? What's your prompt? How do you find the issue within the system? AI tools and other large language models are transforming our daily workflows, helping with everything from debugging scripts to generating boilerplate code in seconds, but you still have to know how (and when) to use them.This raises a valid question for many IT practitioners—with so much knowledge at
In this October roundup, we cut through the noise to focus on the essential technical blueprints and policy foundations required to succeed. These articles, from key platform updates and critical security integrations to the future of open source legality, represent the core strategic reading for Q4. We highlight how Red Hat Ansible Automation Platform 2.6 streamlines operations, how Red Hat AI 3 and its intelligent control plane transform GPU infrastructure, and how our strategic partnership with NVIDIA simplifies the AI software stack. This is the quarter for planning that prepares your orga