Episode 3: AI in DevOps
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Episode 3: AI in DevOps
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A proposito di questo titolo
AI can write code. That doesn’t mean it can run production.
In Episode 3, we break down what AI actually changes in DevOps and software engineering — and what stays stubbornly human: requirements, judgement, risk, guardrails, and the messy reality of pipelines and production systems.
We cover:
Why “AI will replace engineers” is the wrong question
Where AI genuinely saves time in day-to-day DevOps work
Why requirements and review matter more (not less) with AI
CI/CD, evidence, and the controls AI can’t shortcut
The junior vs senior impact: how teams and careers shift
Chapters:
00:00 AI won’t kill software engineering
03:30 AI as a force multiplier
07:00 Tools vs real understanding
10:30 Requirements still matter
14:00 Pipelines and real-world constraints
18:00 Frameworks and guardrails
22:30 Safe AI in production
27:30 Where AI actually saves time
32:30 AI in daily workflows
37:00 Skills that matter more with AI
41:30 Junior vs senior impact
46:00 Long-term team impact
50:30 Engineers aren’t going anywhere
If you work in DevOps, Platform Engineering, SRE, or you’re building software that has to pass audits and survive incidents — this one’s for you.