However, it also highlights a key problem that LLMs don’t solve: while they’re great at generating code, that’s only a small part of real-world software development. Setting up a GitHub account, establishing credibility within a community, and handling PR feedback all require significant effort.

In my view, lowering the barriers to open-source participation could have a bigger impact than these AI models alone. Some software already gathers telemetry and allows sharing bug reports, but why not allow the system to drop down to a debugger in an IDE? And why can’t code be shared as easily as in Google Docs, rather than relying on text-based files and Git?

Even if someone has the skills to fix bugs, the learning curve for compilers, build tools, and Git often dilutes their motivation to contribute anything.