AI-assisted programming has moved far past autocomplete. Massive language fashions at the moment are able to enhancing whole codebases, coordinating long-running duties, and collaborating throughout a number of programs. As these capabilities mature, the core problem in software program improvement is shifting away from writing code and towards orchestrating work, managing context, and sustaining shared understanding throughout fleets of brokers.
Steve Yegge is a software program engineer, author, and business veteran whose essays have formed what number of builders take into consideration their work. Over the previous 12 months, Steve has been exploring the frontier of agentic software program improvement, constructing instruments like Beads and Fuel City to experiment with multi-agent coordination, shared reminiscence, and AI-driven software program workflows.
On this episode, Steve joins Kevin Ball to debate the evolution of AI coding from chat-based help to full agent orchestration, the technical and cognitive challenges of managing fleets of brokers, how ideas like process graphs and Git-backed ledgers change the character of labor, and what these shifts imply for software program groups, tooling, and the way forward for the business.
Kevin Ball or KBall, is the vice chairman of engineering at Mento and an unbiased coach for engineers and engineering leaders. He co-founded and served as CTO for 2 corporations, based the San Diego JavaScript meetup, and organizes the AI inaction dialogue group via Latent Area.
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