[m_w_]

Generally end-user applications, depending on how you classify internal tools. I'm generally very happy with the output of Opus 4.X with a moderately structured CLAUDE.md and some investment in detection/avoidance of anti-patterns (Next.js+ts). I imagine that the bitter lesson is true here, and these heuristic guidelines will become increasingly unnecessary w/ smarter models.

Library-type work has mostly been side/toy projects, although fwiw, with a standard/spec on hand (CommonMark for example), I'm also happy w/ the output. It's often possible to "close the loop" and have the coding agent autonomously iterate until the standard is adhered to.

[adamddev1]

Thanks for the answer. From what I can see, most people who are enthusiastic and optimistic about AI use are producing end-user apps, internal tools (limited use) or just hobby libraries. The fuzziness may be tolerable on the edges of immediate use.

Creating something that is solid enough for widespread, reliable building is just in another category. And I wish people recognized this distinction more when they say we don't need to look at code anymore.