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In my org, it's grown the level of work. We had a lot of stuff that was never worth the devtime necessary, but now that's opened up that we can do a lot of this stuff in the background

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I think this is underrepresented in everyone's calculations about how AI will affect software engineering. In my experience (and apparently yours as well) this is what many companies are using it for. All those pesky bugs that are minor annoyances but not show-stoppers are getting addressed. They aren't helping us sell more software, but they're dissatisfiers for the customers.

Worth looking into 'Jevons Paradox' for more examples of this sort of thing. TL;DR is that as things become more efficient, whether coal, or programmers, the usage of a good increases as demand skyrockets for what it can be used for.

This is already going on.

When lawyers and writers are talking to me about "docker containers" and "agents" I assure you that the amount of code out there is going to grow.

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