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LLMs for Debugging Code (Thu, 18 Sep 2025)
Large language models (LLMs) are transforming software development lifecycles, with their utility in code understanding, code generation, debugging, and many more. This article provides insights into how LLMs can be utilized to debug codebases, detailing their core capabilities, the methodologies used for training, and how the applications might evolve further in the future. Despite the issues with LLMs like hallucinations, the integration of LLMs into development environments through sophisticated, agentic debugging frameworks proves to improve developers’ efficiency. Introduction The Evolving Role of LLMs in Coding LLMs have already proven their capabilities beyond their initial applications in natural language processing to achieve remarkable performance in diverse code-related tasks, including code generation and translation. They power AI coding assistants like GitHub Copilot and Cursor, and have demonstrated near-human-level performance on standard benchmarks such as HumanEval and MBPP. 
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Disabling UseNUMA Flag When CPU and Memory Node Misalign in JDK (Thu, 18 Sep 2025)
Today, Java is still one of the widely used languages to build and run applications, and for the same reason, organizations prioritize measuring its performance.  When running a Java application on a multi-NUMA (Non-Uniform Memory Access) memory node, we need to pay attention to the remote accesses, if any, otherwise, that can result in increased latencies and hence result in reduced performance. The libnuma kernel library provides several policies, including localalloc, preferred, membind, and interleave, which enable users to affinitize their applications and run them with optimal utilization of the server nodes as per their requirements.  
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Blueprint for Agentic AI: Azure AI Foundry, AutoGen, and Beyond (Thu, 18 Sep 2025)
In 2025, AI isn’t just about individual models doing one thing at a time, but it’s about intelligent agents working together like a well-coordinated team. Picture this: a group of AI systems, each with its own specialty, teaming up to solve complex problems in real time. Sounds futuristic? It’s already happening — thanks to multi-agent systems. Two tools that are making this possible in a big way are Azure AI Foundry and AutoGen.
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Remote Android Management: A Step-by-Step Guide (Thu, 18 Sep 2025)
The Problem No One Talks About In an era where screens dominate bedtime routines, millions now fall asleep to YouTube videos, podcasts, or streaming apps. However, this habit has a hidden cost: uncontrolled volume exposure, especially for children. As a parent and developer, I faced this problem firsthand — my child’s late-night YouTube binges led to restless sleep and morning irritability. Free apps in the Google Play Store, like Volume Limiter and Volume Control, were a failure: They crashed, had no settings, or were too intrusive. Perhaps commercial apps would be better, but I haven't tested this since they cost money, often quite a bit.
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DevOps Cafe Podcast

DevOps Cafe Ep 79 - Guests: Joseph Jacks and Ben Kehoe (Mon, 13 Aug 2018)
Triggered by Google Next 2018, John and Damon chat with Joseph Jacks (stealth startup) and Ben Kehoe (iRobot) about their public disagreements — and agreements — about Kubernetes and Serverless. 
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DevOps Cafe Ep 78 - Guest: J. Paul Reed (Mon, 23 Jul 2018)
John and Damon chat with J.Paul Reed (Release Engineering Approaches) about the field of Systems Safety and Human Factors that studies why accidents happen and how to minimize the occurrence and impact. Show notes at http://devopscafe.org
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DevOps Cafe Ep. 77 - Damon interviews John (Wed, 20 Jun 2018)
A new season of DevOps Cafe is here. The topic of this episode is "DevSecOps." Damon interviews John about what this term means, why it matters now, and the overall state of security.  Show notes at http://devopscafe.org
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