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Behind Every Reliable AI Agent Is Boring Engineering (Here’s the Playbook)

Behind Every Reliable AI Agent Is Boring Engineering (Here’s the Playbook)

Why most AI agent prototypes look impressive, but almost none survive production ⚙️ Building an AI agent demo today is surprisingly easy. You connect a large language model, add a few prompts and tools, and within hours, you have something that looks intelligent. It summarizes logs, suggests fixes, and answers questions.

I Lost 6 Months Learning DevOps Wrong: Here’s the Path I Wish I Took

I Lost 6 Months Learning DevOps Wrong: Here’s the Path I Wish I Took

Learning new technology usually feels exciting. You explore, experiment, break things, and fix them. That’s how real skill is built. But when I started learning DevOps, I did none of that. I watched tutorials, jumped between topics, felt “productive,” and learned almost nothing. Six months had passed before I

The AI Tools Engineers Are Adopting Faster Than You Think🤫

The AI Tools Engineers Are Adopting Faster Than You Think🤫

A forward-looking list for people who care more about leverage than loud opinions A few nights ago, around 2 a.m., I watched an automation workflow correct itself. No alerts. No Slack panic. No “why is production on fire” moment just logs calmly undoing a bad decision before users ever

The Shutdown Dilemma: When the AI Decided It Didn't Want to Die

The Shutdown Dilemma: When the AI Decided It Didn't Want to Die

In the world of DevOps, we dream of "self-healing" systems. We build CI/CD pipelines that roll back on failure and Kubernetes clusters that spin up new nodes when one goes dark. We want our infrastructure to be resilient. But recently, a safety test involving a GPT-4-based agent

10 Most Common Kubernetes Errors and Their Fixes

10 Most Common Kubernetes Errors and Their Fixes

1. CrashLoopBackOff This error occurs when a pod continuously crashes and restarts, often due to application-level issues. How to Fix: * Check Logs: Investigate the container logs with: * Inspect Configuration: Review the pod’s configuration (e.g., incorrect environment variables, resource limits). * Check Health Probes: Ensure readiness and liveness probes are

Kubernetes Node Affinity: Teaching Your Pods Where to Live

Kubernetes Node Affinity: Teaching Your Pods Where to Live

Kubernetes scheduling often looks effortless in early learning. You deploy a workload, pods appear, and everything seems under control until real production traffic arrives and suddenly the scheduler’s “autopilot” decisions start causing surprises. In real clusters, nodes are far from identical. Some are lightweight, some are memory-rich, some include