AI Agents for DevOps in 2026: Tools That Are Actually Worth Using

I’ve been testing a bunch of AI tools in my Kubernetes workflow over the past few months and wanted to share what’s genuinely changed my day-to-day vs what’s just marketing noise.

What’s actually working:

• K8sGPT — scans your cluster and explains issues in plain English. Saved me a lot of time on pod crash debugging. Open source, worth trying.
• AI-assisted incident triage — tools that correlate logs + metrics and surface root cause faster than manual grep-ing through Kibana
• Natural language infra provisioning — still early but some teams are running Terraform via prompts in CI pipelines

What’s still overhyped:

• Fully autonomous remediation without human approval (too risky in prod)
• AI writing your Helm charts from scratch (output needs heavy review)

Wrote a longer breakdown on my blog if anyone wants the full list with tool comparisons: https://infradecode.com

Curious what tools others are actually running in production — anything I missed?****