Upgrading the Network Engineer’s Toolbelt by Du’An Lightfoot

In this session, Du’An Lightfoot, Sr. AI Engineer at AWS and founder of Lab Every Day, explores the rise of agentic AI and how it’s changing the way engineers approach automation, troubleshooting, and productivity. Drawing on real examples, including his own network-automation demos, he explains where AI agents fit—and where they don’t. From code-based determinism to autonomous reasoning, Du’An shows how teams can safely experiment with agents, apply guardrails, and evolve their workflows without losing human oversight. The message is clear: AI won’t replace engineers—it enables them to move faster, learn faster, and focus on higher-value work.

What You’ll Learn:
Practical guardrails, frameworks, and tools (like Cloud Code, Cursor, MCP, and AWS Bedrock) to build, monitor, and safely deploy AI agents.
How agentic AI extends traditional automation with reasoning, planning, and action loops.
Why 40 % of early agent projects fail—and how to avoid poor data, unclear goals, and scale issues.
The difference between deterministic vs. non-deterministic tasks and when to use code versus agents.

If you wish to watch the entire day of AI for Network Leaders click here.

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