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Erlang Solutions: Call for Speakers at the RabbitMQ Summit
Are you a user, operator, developer, engineer, or simply someone with interesting user stories to tell about RabbitMQ? If so, we have some exciting news for you! The RabbitMQ Summit 2023 is just around the corner, and we are thrilled to invite you to submit your talks for this highly anticipated event.

The RabbitMQ Summit brings together a vibrant, diverse community of enthusiasts from all corne … ⌘ Read more

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How GitHub Copilot is getting better at understanding your code
With a new Fill-in-the-Middle paradigm, GitHub engineers improved the way GitHub Copilot contextualizes your code. By continuing to develop and test advanced retrieval algorithms, they’re working on making our AI tool even more advanced. ⌘ Read more

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Building a culture of innovation in your business with GitHub
Consider the typical software development practices in an organization. Projects are commonly closed, and causes friction across engineering teams. But open source communities work asynchronously, openly, remotely and at global-scale. What if our internal teams could reuse those same practices? ⌘ Read more

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I am playing some ambient music that begins with a sound that’s a bit like the drone of an airplane engine, and I spent a good minute or two adjusting the volume wondering why the music wasn’t playing because I thought it was a plane🤦‍♂

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In-reply-to » On LinkedIn I see a lot of posts aimed at software developers along the lines of "If you're not using these AI tools (X,Y,Z) you're going to be left behind."

@prologic@twtxt.net yeah. I’d add “Big Data” to that hype list, and I’m sure there are a bunch more that I’m forgetting.

On the topic of a GPU cluster, the optimal design is going to depend a lot on what workloads you intend to run on it. The weakest link in these things is the data transfer rate, but that won’t matter too much for compute-heavy workloads. If your workloads are going to involve a lot of data, though, you’d be better off with a smaller number of high-VRAM cards than with a larger number of interconnected cards. I guess that’s hardware engineering 101 stuff, but still…

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Building GitHub with Ruby and Rails
Since the beginning, GitHub.com has been a Ruby on Rails monolith. Today, the application is nearly two million lines of code and more than 1,000 engineers collaborate on it daily. We deploy as often as 20 times a day, and nearly every week one of those deploys is a Rails upgrade. Upgrading Rails weekly Every […] ⌘ Read more

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How we use GitHub to be more productive, collaborative, and secure
Our engineering and security teams have done some incredible work in 2022. Let’s take a look at how we use GitHub to be more productive, build collaboratively, and shift security left. ⌘ Read more

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The Story of Scalar
New to Git v2.38, Scalar is a built-in repository manager for large repos. Here, we’ll tell the story of how Scalar went from a rough VFS for Git successor to a fully-integrated Git tool, with all of the engineering lessons learned in the process. ⌘ Read more

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