“Well if the code was good, then why didn’t you just merge it?” This is explained in the linked github well, but I’ll readdress it once here. Beyond matplotlib’s general policy to require a human in the loop for new code contributions in the interest of reducing volunteer maintainer burden, this “good-first-issue” was specifically created and curated to give early programmers an easy way to onboard into the project and community. I discovered this particular performance enhancement and spent more time writing up the issue, describing the solution, and performing the benchmarking, than it would have taken to just implement the change myself. We do this to give contributors a chance to learn in a low-stakes scenario that nevertheless has real impact they can be proud of, where we can help shepherd them along the process. This educational and community-building effort is wasted on ephemeral AI agents.
“Well if the code was good, then why didn’t you just merge it?” This is explained in the linked github well, but I’ll readdress it once here. Beyond matplotlib’s general policy to require a human in the loop for new code contributions in the interest of reducing volunteer maintainer burden, this “good-first-issue” was specifically created and curated to give early programmers an easy way to onboard into the project and community. I discovered this particular performance enhancement and spent more time writing up the issue, describing the solution, and performing the benchmarking, than it would have taken to just implement the change myself. We do this to give contributors a chance to learn in a low-stakes scenario that nevertheless has real impact they can be proud of, where we can help shepherd them along the process. This educational and community-building effort is wasted on ephemeral AI agents.
https://theshamblog.com/an-ai-agent-published-a-hit-piece-on...