AI Is Not Coming for Your Job — It's Making It Better

When ChatGPT launched, many people panicked. "AI will replace developers!" In reality, after using AI tools daily for over a year, I can tell you: AI doesn't replace engineers — it amplifies them. I'm 2-3x more productive, not because AI writes my code, but because it eliminates the boring parts.

What I Actually Use AI For

1. Writing Ansible Playbooks and Scripts

Instead of spending 30 minutes writing a playbook from scratch, I describe what I need: "Create an Ansible playbook that installs Docker on Ubuntu 22.04, adds the current user to the docker group, and enables the service." I get a working draft in seconds, then review and customize it.

2. Debugging Configuration Issues

Nginx returning 502? Paste the error log into Claude, describe your setup, and get targeted suggestions. AI is excellent at pattern-matching common misconfigurations that would take you 45 minutes of Stack Overflow browsing.

3. Writing Documentation

Nobody likes writing runbooks. I describe the procedure, and AI generates clean, structured documentation. I review it, add context, and it's done in a quarter of the time.

4. Learning New Tools

"Explain Prometheus alerting rules with examples" gives you a personalized tutorial instantly. It's like having a senior engineer available 24/7 to explain things at your level.

What AI Is Bad At

  • Architecture decisions — AI doesn't understand your business context, budget, or team capabilities
  • Security-critical configurations — always verify AI suggestions against official documentation
  • Debugging production issues — AI can help analyze logs, but it can't access your systems or understand the full picture
  • Novel problems — if it's not in the training data, AI will confidently give you wrong answers

My AI Toolkit

Claude — my go-to for complex tasks, long documents, and code review. Excellent reasoning ability.

ChatGPT — great for quick questions and brainstorming.

GitHub Copilot — autocomplete on steroids. Saves time on repetitive code patterns.

Claude Code — this entire website was built with AI assistance. Blog, contact form, portfolio — all developed faster thanks to AI pair programming.

The Bottom Line

AI tools are not magic — they're power tools. A chainsaw doesn't make you a lumberjack, but a lumberjack with a chainsaw is 10x more productive than one with an axe. The same applies to AI in DevOps.

Want to learn how AI can speed up your infrastructure work? Book a free consultation.