this post was submitted on 22 Oct 2025
647 points (90.3% liked)
Technology
76415 readers
2622 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related news or articles.
- Be excellent to each other!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
- Check for duplicates before posting, duplicates may be removed
- Accounts 7 days and younger will have their posts automatically removed.
Approved Bots
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Most of my work in DevOps isn't in front of my text editor writing scripts. It's spent hopping between dashboards, drafting emails, doing RCA, teaching dev team members how to use pipelines, and getting requirements from them for designing new pipelines. Then inevitably debating with them about design considerations when they ask for a set of procedures that won't pan out.
Until your AI is a fully fledged team member who everyone can feel comfortable engaging with as if they were a real human, you cannot possibly begin to automate this.
Mine either - we use azure devops, octopus, etc - tools that automate devops. Most of devops is automated across the board - no big companies are manually kicking off builds for every PR and pushing the files around the place and then manually deploying them - it's all automated using devops tools. Having AI build and manage these pipelines seems like a logical place to use it, as they are all just about creating steps using pieces from previous steps and other systems.
You absolutely could have AI create a pipeline to build, test, and deploy a solution, and then test the actual deployed solution. The AI is essentially just the coordinator here, tying together the other devops tools.