
How Software Engineers and Students Use AI to Move Faster than Ever (without breaking things)
Full DevOps.com article here
Key takeaways:
- Be AI-native: design products and curricula around AI from day one.
- Guard the reasoning loop while exploiting automation.
- Agentic tools compress SDLC toil; humans own architecture & judgment.
- Adaptation > fear: skills shift, opportunity expands.
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In the first article on our Augmented, Not Artificial series, we observed that the biggest barriers to realizing agentic AI’s potential in the enterprise are cultural, not technical. The models are ready. The infrastructure is ready. What isn’t ready is how most orgs think about software, ownership, and performance.

