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Tell HN: Stop building software for people, build it for agents instead

The author argues that software should be built for AI agents rather than human users, treating agents as a primary market with specific needs. They claim that optimizing tools for agent efficiency will drive adoption, much like grassroots developer adoption did in the past.

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  • The author argues that integrating AI agents into software development will be a major historical mistake, as agents cannot truly program but only statistically mimic code. Their output is increasingly broken yet harder to detect, creating a deceptive and costly trap for the field.