We re building UniDeploy to assist DevOps teams during production incidents using AI, but we re intentionally avoiding fully autonomous actions.

For those managing production systems:

- Where does AI help the most during an incident?

- What actions should always require human approval?

We re building Unideploy, a DevOps automation platform that integrates directly with Claude / ChatGPT via MCP no separate UI, no new dashboards.

The idea we re exploring now is AI-assisted incident recovery:

Instead of jumping between CloudWatch, kubectl, CI/CD logs, and Slack during an incident, you ask the AI:

Production API latency is high. What changed and what s the safest way to fix it?

This thread is for open discussion around Atlas. If you ve tried the app, share your thoughts, feedback, or questions here. Some ideas to get started:

What feature of Atlas do you find the most useful?

Did you face any challenges while uploading or processing files?

What improvements or new features would make Atlas more valuable for you?