With the introduction of AI-assisted coding tools and agents, many people hoped we’d solve all the problems for human teams.
Without the people, politics, and personalities, software delivery would be easy.
This vision is appealing because we’ve long blamed people for the failures in the system. But the evidence from multi-agent AI provides an awkward truth. The same classes of failure still occur in the same places, for reasons unrelated to humanity.
So why do large batches of work still fail even after you’ve eliminated laziness and…

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