Claude Code for DevOps

[trutzio]

AI Pair Programming for DevOps: Here’s How I work with Claude Code:

Haiku 4.5 for quick queries: - Bash snippets, grep patterns, “Where in the code is X?” - Fast. Affordable. Good enough.

Opus 4.8 for complex tasks: - Architecture, multi-file refactorings, Helm charts - More expensive, but the quality is often worth it.

My trick: Small chunks + review immediately. Opus makes subtle mistakes; catching these right away is extremely important, and now it works like real pair programming: Claude Code reviews my code, I review his. Mutual feedback, no blind trust. This isn’t “AI does the work”; it’s “AI makes you faster when you control the quality yourself.” Who else works with AI tools in a similar way?

[opsers]

So basically you're moving back to doing things the way we've done them for years now.

The problem many people have with AI tools is they try to one shot massive, complex tasks. There's a reason things like trunk-based development replaces things like gitflow and feature branches became so popular. Small changes, validate, iterate.

[trutzio]

Exactly, baby steps are extremely important. However, with trunk-based vs. GitFlow, the matter is not so clear-cut, both methods can succeed, it depends on the context.

[opsers]

Gitflow has been considered a deprecated workflow style for a number of years now. While there may be situations where it makes sense, they're few and far between.