"Some developers are having even more fun than they've ever had, especially if they're working on greenfield code bases, shipping small products, small services, where AI is supercharging their productivity. But there's also a lot of developers that are working on legacy code bases in large enterprises. They might have a lot of in house libraries. They might have ways of working that AI is not necessarily trained on. And getting AI to output code in those environments is very difficult."
"We're almost seeing a polarization of opinion in this space because"
AI tooling can increase developer productivity and restore enjoyment, especially for teams working on greenfield codebases and shipping small services where AI fits well. Developers in large enterprises often work with legacy systems, extensive in-house libraries, and established ways of working that AI may not be trained on. In these environments, getting AI to produce correct, usable code is difficult. As a result, opinions about AI in development are becoming polarized, with some developers experiencing strong benefits while others face significant friction and limitations when applying AI to older, complex systems.
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