Operations | Monitoring | ITSM | DevOps | Cloud

Curiosity never really goes away.

Even with perfect data and unlimited time, teams still make the wrong decisions sometimes.

CI/CD systems were designed for predictable workloads and AI is pushing more changes than most pipelines can handle.

Leaders should give engineers the space to experiment with AI tools so they can form real opinions about what works and what doesn’t.

Treating problems as systems issues instead of people problems changes everything.

But someone who knows how to use AI well might.

If a company sells tools that promise faster engineering teams, they need to prove it internally too.

AI can generate code in seconds. But validation, testing, and review still take time.

Even when you stop writing code every day, the way engineers think about systems, feedback, and problems stays with you.

AI agents used to comment on issues and pull requests, now they’re pushing code to repositories.