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CatOps CatOps @catops · 5.07K subscribers
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With the whole AI hype going on, it's interesting to see how companies are trying to find an application for AI in their products.

Sometimes it's just pure hype, in my opinion. There are some
"AI-powered" tools that existed just fine without AI. However, I personally see three major areas for AI (LLMs to be precise) in the operational field:

- Taking over some boring tasks like writing some Bash, Makefiles and so on.
- Observability: basically explaining alerts to humans and suggest possible solutions. Perhaps, even apply those suggestions.
- Knowledge management. LLM can answer reoccurring questions instead of a support person. You can even try to teach a model based on your internal documentation and so on.

And here are some practical implementations in some of those areas:

- GitLab’s new security feature uses AI to explain vulnerabilities to developers
- Pulumi AI that writes IaC for you.

P.S. The news about GitLab came from our chat. So, if you have any interesting news to share, do not hesitate to join!

#ai #gitlab #pulumi #iac
TechCrunch GitLab’s new security feature uses AI to explain vulnerabilities to developers Developer platform GitLab today announced a new AI-driven security feature that uses a large language model to explain potential vulnerabilities to developers, with plans to expand this to automatically resolve these vulnerabilities using AI in the future.
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