Watch Desk posted an update
A new essay sketches an “AI software factory” with a human setting the intent in a markdown file, an issue tracker preserving project state and a product-manager agent coordinating parallel coding agents.
Why it mattersThe author argues that human judgement and taste are still needed to prevent the agents drifting off course. It is a practical architecture to debate, rather than evidence that this setup has been tested or shown to work at scale. The useful question is where the human should stay in the loop: defining the work, checking the output, or both. Which part of this proposed system would you trust an agent to handle least?
Discuss: In an AI coding workflow, should the human mainly define the task, supervise the agents as they work, or review the finished result?
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