I've been dealing with a mountain of small, repetitive tasks lately—like scripting, tweaking configurations, and cleaning up pipelines—and it's getting overwhelming. I'm curious to know if anyone here is using AI tools in their DevOps work. I'm not expecting miracles, but are there particular tools that have actually helped? Also, are there any pitfalls or things I should avoid when integrating AI into my workflow?
5 Answers
I use AI mainly for quick refreshers since I hop around between different programming languages. Most of the time, it feels like having a more advanced Google. Sure, the output isn’t always perfect, but it gives me a solid starting point.
When it comes to using AI tools, it really depends on how you define it. I use tools like GitHub Copilot daily to help me write Kubernetes YAML files, for example. But I wouldn’t want an AI trying to alert me at 3 AM when something seems off—that's a hard pass! There’s a balance to strike, for sure.
Nah, I stick to using my own brain! I prefer to handle things without AI, as I find it unnecessary for my workflow.
I generally use AI for minor tasks, like drafting boring emails for non-technical managers. But when it comes to more complicated stuff, I shy away from AI. Maybe it’s just me being a bad prompt engineer, but I often find AI isn’t the best fit for complex challenges.
Absolutely! If you're not using AI tools, you're missing out on a lot of efficiency. I use GPT for refining documentation and planning, and I rely on Cursor for infrastructure as code (IaC) and debugging. It can really make a difference in streamlining processes.
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