![]() ![]() The Teams product today runs in two forms. "Where, historically, you're focused on ultra-high performance, a small team of engineers, how you operate there is different than if you want to have a team of 150 engineers, and you want to have a bunch of different features, functions, capabilities that are available and that meet the criteria of an enterprise customer." What that means, he said, is, "We need the ability to provide new capabilities and features and innovations," and to do so, "we need to be able to add engineers, we need to scale in a different kind of way." "What's changing now, is, we're moving more to a services model, we're moving more to enterprises." That meant the entire engineering effort, he said, "was all about how do we go fast? How do we scale and how do we do it, you know, as cost effectively as possible? "We've got to get the answer up as quickly as possible," was the focus, "because that's how we're going to get the highest paid rank on Google." "When the organization was first founded, it was all about how do we how do we serve up an answer as fast as possible?" explained Bailey. The infrastructure developed in 2008 by founders Joel Spolsky and Jeff Atwood for the public site, which to this day runs on nine servers Stack Overflow's owned and operated data center, is designed with an emphasis on raw speed and low, low latency above all else. In fact, "it wasn't really a business." It was just a finely-oiled machine built for one thing above all else: speed. ![]() "Originally there wasn't really a business plan," said Bailey. "The big thing, my perspective on StackOverflow is, it's really shifted over the past couple of years," he said. ![]() "There's just the economies of scale that come from being able to even offer that solution to some of the enterprise customers that maybe, you know, wouldn't require that dedicated instance." Stack Overflow “We’ll be working closely with our customers and community to find the right approach to this burgeoning new field,” he said."Software-as-a-service is all about the long tail," says Bailey, meaning, you can just keep adding more customers to it, and economically so, if you can really nail down the most efficient use of the public cloud. According to a recent blog post from the company’s CEO Prashanth Chandrasekar, Stack Overflow has set up a dedicated team to build generative AI applications and evolve the platform. However, the company is not turning an absolute blind eye to the possibilities of AI. The answers may not be exactly what’s needed but could be adapted into a working solution - much like how developers have been working with upvoted answers from Stack Overflow.įor its part, Stack Overflow continues to ban the posting of ChatGPT-generated content on its site. With tools like ChatGPT and GitHub Copilot, teams could generate detailed code samples and complete functions - with accompanying tutorial content explaining why the code works. While using generative AI is still a matter of choice for coders, these stats clearly show that the tech is here to stay, and that it challenges traditional ways of solving coding challenges. Carr, senior insights manager at SimilarWeb, said in a blog post detailing the results. “We can’t say how much of GitHub’s growth is related to its embrace (and Microsoft’s broader embrace) of OpenAI technologies, but the related buzz is probably helping,” David F. Further, between February and March, visits to Copilot’s free-trial signup page more than tripled to over 800,000.
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