Posts Tagged automation

The IDE is dying, and so is tool calling. OpenAI is not going to win. And next year, you’re going to be shipping code that you’ve never reviewed before, even as an experienced engineer.

These are bold claims, but the way we use AI in 2026 for coding and agents is going to look completely different. In this post, I want to cover my predictions and why they matter right now for DevOps engineers. Some of these are definitely hot takes, but that’s what makes this conversation worth having.

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Welcome to the fourth post in our IDP Best Practices series. Today we’re diving into the world of drift detection and remediation, those critical day 2 operations that keep your infrastructure aligned with its intended configuration long after the initial deployment.

You’ve built a beautiful platform with robust guardrails, comprehensive templates, and well-defined golden paths. Your developers are productive, deployments are smooth, and everything seems perfect. Then reality hits. An on-call engineer makes an emergency change through the AWS console during a 3 AM incident. A team member tweaks a security group rule to debug a connection issue and forgets to revert it. Auto-scaling adjusts capacity based on load patterns. Before you know it, your actual infrastructure has quietly diverged from what your code describes.

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It’s funny how technology has a way of sneaking back into your life just when you think you’ve moved on for good. Jenkins and I have quite the history. Think of it as that reliable but slightly temperamental friend from your college days who you haven’t seen in years.

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