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Tooling and apps used to create and deliver awesome software.
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Practical AI Practical AI #194

Evaluating models without test data

WeightWatcher, created by Charles Martin, is an open source diagnostic tool for analyzing Neural Networks without training or even test data! Charles joins us in this episode to discuss the tool and how it fills certain gaps in current model evaluation workflows. Along the way, we discuss statistical methods from physics and a variety of practical ways to modify your training runs.

The Changelog The Changelog #475

Making the ZFS file system

This week Matt Ahrens joins Adam to talk about ZFS. Matt co-founded the ZFS project at Sun Microsystems in 2001. And 20 years later Adam picked up ZFS for use in his home lab and loved it. So, he reached out to Matt and invited him on the show. They cover the origins of the file system, its journey from proprietary to open source, architecture choices like copy-on-write, the ins and outs of creating and managing ZFS, RAID-Z and RAID-Z expansion, and Matt even shares plans for ZFS in the cloud with ZFS object store.

Ship It! Ship It! #33

🎄 Merry Shipmas 🎁

Merry Shipmas! This is our special Christmas episode which sums up two months of very early mornings and a few late nights. After many twists and turns, stuff which didn’t work out, as well as pleasant surprises, this is what we ended up with:

  • 🎁 PR #395 - CI/CD Lego set with Guillaume de Rouville & Joel Longtine
  • 🎁 PR #396 - Continuous CPU profiling with Frederic Branczyk
  • 🎁 PR #399 - Auto-restoring Kubernetes clusters with Dan Mangum & Muvaffak Onuş

While we initially intended to have five Christmas presents in total, only three got delivered in time. We planned, worked hard and eventually shipped the best we could just in time for this special Christmas episode. Our hope is that the latest additions to our changelog.com GitHub repository will help you just as much as they will help our 2022 setup.

🎄Merry Shipmas everyone! 🎄

Founders Talk Founders Talk #81

The future of code search

Today Adam is joined by Quinn Slack, CEO of Sourcegraph. He’s been tracking Sourcegraph for years now and knew one day they would hit Unicorn status, and that happened this year. They’re just off a massive $125M Series D funding round led by Andreessen Horowitz at a $2.625B valuation to bring code search to every developer. The future of code search has never been more clear and we’re excited to share today’s show with you.

Ship It! Ship It! #23

A universal deployment engine

In today’s episode, Gerhard is talking to Sam Alba, Docker’s first employee, and Solomon Hykes, the Docker co-founder. Together with Andrea Luzzardi, they are the creators of Dagger, a universal deployment engine that trades YAML for CUE, and uses Buildkit as the runtime.

Why? Because we should stop rewriting the same application deployment logic in scripts, makefiles or continuous delivery configuration. That’s right, this is the YAML vaccine that we have all been waiting for.

Gerhard believes that one day, Dagger will become just as meaningful for application delivery, as Docker is today for application code.

The Changelog The Changelog #446

xbar puts anything in your macOS menu bar

On this episode we’re talking with our good friend Mat Ryer whom you may know from the Go Time podcast. Mat created an awesome open source tool for putting just about anything in your Mac’s toolbar. It was originally written in Objective-C, but it just got a big rewrite in Go and abig rename from BitBar to xbar.

If you don’t use a Mac don’t hit skip on this episode quite yet! There are lessons to be learned for anyone interested in hacking on tools to make your life better. Plus, with this rewrite Mat has positioned xbar to go cross-platform, which we talk about as well.

Practical AI Practical AI #111

Killer developer tools for machine learning

Weights & Biases is coming up with some awesome developer tools for AI practitioners! In this episode, Lukas Biewald describes how these tools were a direct result of pain points that he uncovered while working as an AI intern at OpenAI. He also shares his vision for the future of machine learning tooling and where he would like to see people level up tool-wise.

Practical AI Practical AI #66

Build custom ML tools with Streamlit

Streamlit recently burst onto the scene with their intuitive, open source solution for building custom ML/AI tools. It allows data scientists and ML engineers to rapidly build internal or external UIs without spending time on frontend development. In this episode, Adrien Treuille joins us to discuss ML/AI app development in general and Streamlit. We talk about the practicalities of working with Streamlit along with its seemingly instant adoption by AI2, Stripe, Stitch Fix, Uber, and Twitter.

The Changelog The Changelog #330

source{d} turns code into actionable insights

Adam caught up with Francesc Campoy at KubeCon + CloudNativeCon 2018 in Seattle, WA to talk about the work he’s doing at Source{d} to apply Machine Learning to source code, and turn that codebase into actionable insights. It’s a movement they’re driving called Machine Learning on Code. They talked through their open source products, how they work, what types of insights can be gained, and they also talked through the code analysis Francesc did on the Kubernetes code base. This is as close as you get to the bleeding edge and we’re very interested to see where this goes.

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