Are you passionate about software development and the tech industry? Software Engineering Daily is

looking for a new podcast host to grow its hosting team. In this role, you'll help shape the show's

editorial direction and interview engineers, founders, hackers, and tech leaders. Podcasting experience

is a plus, but not required. Curiosity, great communication skills, and a genuine

interest in the craft of building software are what matter most. If this sounds like you,

reach out at editor at softwareengineeringdaily.com. AI-assisted programming has moved far beyond

autocomplete. Large language models are now capable of editing entire code bases, coordinating long-running tasks,

and collaborating across multiple systems.

As these capabilities mature, the core challenge in software development is shifting away

from writing code and toward orchestrating work, managing context, and maintaining shared

understanding across fleets of agents. Steve Yeggy is a software engineer, writer, and industry

veteran whose essays have shaped how many developers think about their work. Over the past year,

Steve has been exploring the frontier of agentic software development, building tools like

beads and Gastown to experiment with multi-agent coordination, shared memory, and AI-driven software

workflows. In this episode, Steve joins Kevin Ball to discuss the evolution of AI coding from chat-based

assistance to full agent orchestration, the technical and cognitive

challenges of managing fleets of agents, how concepts like task graphs and get-backed ledgers

change the nature of work, and what these shifts mean for software teams, tooling, and the

future of the industry. Kevin Ball, or K-Ball, is the vice president of engineering at Mento and an independent coach

for engineers and engineering leaders.

He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup,

and organizes the AI inaction discussion group through latent space.

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