I've been dealing with a lot of repetitive tasks lately, like writing scripts, adjusting configurations, and cleaning up pipelines. It's becoming a hassle! I'm curious if anyone here has been incorporating AI tools into their DevOps workflow? I'm not looking for anything miraculous, just practical suggestions on tools that might help and any pitfalls to watch out for.
5 Answers
Definitely! If you're not using AI tools, you're missing out on a lot of efficiencies. I use GPT for documentation and planning, Cursor for infrastructure as code (IAC), and AWS DevOps Guru for observability.
I’ve found AI useful for smaller tasks, but it sometimes overconfidently gets complex issues wrong. So I mostly stick to using it for autocomplete features.
I use AI all the time, mainly for tasks I can't remember right off the bat. It’s like having a smarter search engine! Just be cautious; some code it spits out can be messy—especially if you're using less popular languages.
I find AI helpful for writing those dull emails to non-tech managers. For anything complex, I try to steer clear of it. I suspect I might not be a great prompt engineer, though.
You're not alone! Crafting prompts can be tricky, and some tasks just seem beyond AI's reach right now.
For sure! I've been using tools like Copilot to help with Kubernetes YAML files daily. But I wouldn't use AI to alert me about issues at 3 AM—that's a no-go for me!
Sounds like a solid setup! What do you think of using ChatGPT for troubleshooting?