AI-assisted programming has evolved well beyond simple autocomplete. Today, large language models can revise entire codebases, synchronize extended tasks, and operate across various systems. With these advancements, the main focus of software development is shifting from just writing code to orchestrating tasks, managing context, and maintaining a unified understanding among multiple agents.
Steve Yegge, a seasoned software engineer and writer, has greatly influenced developers’ perspectives with his writings. Recently, he has been delving into the realm of agentic software development, crafting tools such as Beads and Gas Town to explore multi-agent collaboration, shared memory, and AI-powered workflows.
In a discussion with Kevin Ball, Steve elaborates on the journey of AI coding, from chat-based aids to comprehensive agent orchestration. They address the technical and mental challenges of handling multiple agents and explore how task graphs and Git-backed ledgers are transforming the workflow. These changes have significant implications for software teams, tools, and the industry’s future.
Kevin Ball, also known as KBall, is the VP of engineering at Mento and provides independent coaching for engineers and leaders in the field. With experience as a co-founder and CTO of two companies, he initiated the San Diego JavaScript meetup and leads the AI inaction discussion group via Latent Space.
For the transcript of this conversation, please click here.