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The Case for AI Agents That Can Say 'No': Why Software Development Needs Meaningful Conversations Over Isolation

By

freediver

2mo ago· 5 min readenOpinion

Summary

The article critiques the software industry's rush to build AI agents that always say 'yes' to requests, arguing that sometimes the correct answer should be 'no, not like this.' It draws on software engineering wisdom spanning 50 years to emphasize that isolation in development leads to flawed systems, and highlights the importance of meaningful conversations and quality attention in creating better software. The author shares personal frustration with authentication layers and advocates for refactoring rather than quick fixes.

Key quotes

· 5 pulled
The industry is building agents that say 'yes' faster. But what if the coherent answer is 'no, not like this'?
Fifty years of software engineering keeps arriving at the same conclusion: isolation produces the wrong system. We forgot again.
Meaning is not found, it is generated in the conversation.
The quality of a person's attention determines the quality of other people's thinking.
It is not the domain experts' knowledge that goes to production, it is the assumption of the developers.
Snippet from the RSS feed
The industry is building agents that say "yes" faster. But what if the coherent answer is "no, not like this"? Fifty years of software engineering keeps arriving at the same conclusion: isolation produces the wrong system. We forgot again.

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