Lifestyles of the AI-Native: Voice-coding, agent skills, hooks and scheduled tasks

Official Schedule Context

Official Description

Most engineers are bolting AI onto a workflow that was designed for a pre-AI world. The result is a

faster version of the same grind. This talk is about the other path: rebuilding the daily practice

of software engineering from the ground up, around what agents are actually good at. Two senior

practitioners from WorkOS will walk through how we actually work now as AI-native engineers — not in

the aspirational sense, but the literal one. We think out loud and voice-code instead of typing our

way to clarity. We package recurring expertise into agent skills so we're not re-explaining context

every session. We wire up hooks that fire on the events we care about, and hand off scheduled tasks

to agents that run overnight, while we're away from the keyboard, or otherwise off the clock. The

throughline is intentional design: deciding what a human should hold onto and what should be

delegated, then building the machinery to make that real. Because there are two of us, you'll see

more than one set of habits — where our setups converge on the same patterns, and where they diverge

based on how each of us thinks and works. The pitch isn't "do more." It's that an AI-native setup,

designed deliberately, buys back attention and protects you from the burnout that comes from

treating agents as a turbocharger for an old loop. Attendees will leave with a concrete mental model

for voice-driven development, a pattern for authoring reusable agent skills, and working examples of

hooks and scheduled automations they can adapt the same week.

Summary

This confirmed Workshop Day 1 session frames AI-native engineering as a redesign of the working day, not just a faster editor loop. Nick Nisi and Zack Proser are both connected to WorkOS, which makes the workshop less a generic tooling survey than a practitioner account of how developer-experience, TypeScript tooling, applied AI, and developer education habits can be reorganized around agents. The official description emphasizes four concrete workflow primitives: voice-coding as a way to externalize intent before implementation, reusable agent skills as packaged context, event-driven hooks for moments that deserve automated intervention, and scheduled tasks for work that can run while the engineer is away from the keyboard.

The speaker context sharpens the division of labor. Nisi's profile points toward developer experience, TypeScript, and community teaching through JS Party and NebraskaJS, so his side of the session likely grounds the topic in day-to-day engineering ergonomics: how prompts, voice notes, tools, and repo conventions become repeatable habits. Proser's WorkOS applied-AI background, earlier developer-education role, and prior infrastructure and AI experience at Pinecone and Gruntwork connect the same practices to agent-system design, retrieval-heavy context work, and teaching engineers how to operate new workflows without turning them into brittle rituals.

The linked supporting video and extracted slide page, “Your Attention Is the Bottleneck, Not Your Agents,” are marked as related context rather than a confirmed recording of this exact workshop. Even with that caveat, they reinforce the workshop's central claim: the limiting resource is not agent throughput but human attention, judgment, and handoff quality. The adjacent wiki resources also place this session in a broader voice-first cluster, including “Voice In, Visuals Out,” but this page's strongest evidence remains the official schedule description plus the WorkOS speaker and slide connections. Treat the synthesis here as grounded in those linked sources, with transcript-level claims deferred until an exact recording or confirmed transcript is available.

Related YouTube Video

Your Attention Is the Bottleneck, Not Your Agents — Zack Proser, WorkOS (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).

Transcript Status

Related video transcript availability: English auto-captions. Treat this as supporting context, not a recording of this exact scheduled session unless later confirmed. Not fetched yet.

People

Notes

Supporting Slides