More agents, same human brain (codeaholicguy.com)

A software engineer has begun utilizing multiple AI coding agents simultaneously—such as Claude Code, Codex, and Gemini CLI—to enhance productivity in software development. This approach allows for parallel execution of tasks, giving the illusion of a small engineering team working alongside the engineer. However, the engineer notes that the true challenge lies not in deploying multiple agents but in managing the resulting influx of outputs and context switching, which can create cognitive overload. This shift represents a significant change in how productivity is perceived within the tech industry; it's no longer simply about the number of engineers on a team but also about how effectively they can orchestrate and supervise a multitude of AI agents. As the engineer explores this new multi-agent environment, they highlight the importance of creating a structured approach—such as implementing a hierarchical orchestration method and a mission-control interface—to maintain oversight while maximizing efficiency. The insights from these experiments could lead to the development of better tools designed specifically for managing multi-agent workflows, fundamentally changing how engineering teams operate in the era of AI.