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Walden Yan argues that AI agents excel when they share the exact working environments and workflows human engineers use. Product managers can now skip writing tickets and prompt an AI directly in Slack to generate a pull request.
Basic computer navigation represents just a small fraction of the broader challenge of testing AI agents.
“…the computer use is kind of a subset of the larger testing problem.”
From Cole Murray: Stop 'Overindexing' on Basic AI Agent 'Computer Use'
Systems designed for human engineers work exceptionally well for AI agents. Walden Yan observed that the configuration required to get an agent running matches the setup teams already use for their staff.
“…any environment that you've set up that is a good experience for your developer naturally lends itself to being easy to set up for the agent…”
“…more or less the same setup your engineers are probably already using.”
AI agents allow non-engineers to contribute directly to the codebase. Walden Yan noted that product managers bypass traditional issue creation by prompting an agent in Slack to generate a pull request.
“…the PM is not creating an issue anymore. The PM is just prompting through Slack and the pull request is then being created.”
“…easiest and most common use case I see across everyone: SRE use cases.”
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