ETOOMANYTHINGS? Run Fewer Agents

Software factory demonstrations often emphasize task management systems to coordinate multiple slow agents, but the author argues that high concurrency can disrupt human focus and merely conceal latency rather than solve it. They propose improving productivity with fewer agents through faster models, quicker testing, and interaction designs centered on human attention and information processing. At exe, experiments include using a fast, tool-free model called Luna 6 for real-time conversations while more capable models handle deeper work, though chat remains limiting for complex feedback. Shelley’s screen-recording feature lets users narrate while exploring a screen, then connects timestamped speech with visual context so agents can interpret richer, less structured feedback. For nonvisual engineering tasks, the author describes HTML artifacts that organize decisions, questions, examples, and diffs visually while recording user audio and in-page interactions through DOM tracking. Streaming partial feedback to agents during review could further hide latency by allowing responses and follow-up questions to appear before the user changes tasks, although the author says this approach has not yet matched the throughput of managing many agents.

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