The real risk isn’t AI.
It’s the architecture you use to run your day.
Most developers aren’t losing productivity because they “can’t focus.”
They’re losing it to context switching, cognitive overload, notification storms, and workflows held together with hope and muscle memory. If your workday were a production system, most of us would be in incident mode by lunch.
This talk reframes productivity through an engineer’s lens.
We debug the human layer the same way we debug code: finding bottlenecks, adding guardrails, setting SLOs, and designing defaults that don’t collapse under load.
You’ll learn how high-performing engineers use AI and automation not as shortcuts, but as latency reducers—quiet partners that free up cognitive space for real thinking, real design, and real output.
This isn’t about doing more.
It’s about upgrading the system that runs you.
You don’t need to outpace AI.
You need to outgrow the legacy workflow you’re still running.

WHO SHOULD ATTEND
Developers drowning in tabs, tasks, context switches, and “quick pings”
Tech leads who want their team’s minds to scale—not just their backlog
Makers, IT pros, and architects building with Copilot, agents, and automation
Anyone who wants clarity instead of chaos, and sustainable performance instead of burnout
KEY TAKEAWAYS
Understand why the real bottleneck isn’t AI—it’s human cognitive architecture, and why burnout is a design flaw, not a personal failure.
Learn how to apply engineering patterns to your own workflow: load balancing, batching, defaults, guardrails, and focus SLOs
Discover practical ways to partner with AI so it reduces friction instead of creating noise.
Adopt a human-first productivity model where success is measured by energy, focus, and flow—not busyness.