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Changelog Interviews Changelog Interviews #609

The best, worst codebase

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2024-09-18T20:30:00Z 🎧 21,943

Jimmy Miller talks to us about his experience with a legacy codebase at his first job as a programmer. The codebase was massive, with hundreds of thousands of lines of C# and Visual Basic, and a database with over 1,000 columns. Let’s just say Jimmy got into some stuff. There’s even a Gilfoyle involved. This episode is all about his adventures while working there.

Practical AI Practical AI #285

AI is more than GenAI

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2024-09-05T14:00:00Z #ai +2 🎧 31,580

GenAI is often what people think of when someone mentions AI. However, AI is much more. In this episode, Daniel breaks down a history of developments in data science, machine learning, AI, and GenAI in this episode to give listeners a better mental model. Don’t miss this one if you are wanting to understand the AI ecosystem holistically and how models, embeddings, data, prompts, etc. all fit together.

Changelog Interviews Changelog Interviews #604

Why we need Ladybird

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2024-08-14T21:45:00Z #oss +2 🎧 35,418

Andreas Kling and Chris Wanstrath have joined forces to form a non-profit called Ladybird Browser Initiative to manage the newly forked Ladybird browser. We discuss what it’s going to take to get to alpha, the why behind Ladybird, avoiding incentives other than those of the users, their plans for incremental adoption of Swift as the successor language over C++, and of course what they hope Ladybird can achieve as a truly independent open source browser that’s for the people.

Changelog Interviews Changelog Interviews #601

The man behind the Sandwich

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2024-07-24T19:00:00Z #apple +1
🎧 28,995

Adam Lisagor (Sandwich Video founder) takes us behind the Sandwich to share his insights into the importance of storytelling in the tech industry, the value of helping Founders communicate their stories effectively, the details behind his new AI company, and the apps he’s making for Apple Vision Pro at Sandwich Vision.

Practical AI Practical AI #277

Vectoring in on Pinecone

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2024-07-10T17:30:00Z #ai +2 🎧 25,699

Daniel & Chris explore the advantages of vector databases with Roie Schwaber-Cohen of Pinecone. Roie starts with a very lucid explanation of why you need a vector database in your machine learning pipeline, and then goes on to discuss Pinecone’s vector database, designed to facilitate efficient storage, retrieval, and management of vector data.

Go Time Go Time #321

Dependencies are dangerous

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2024-07-03T20:00:00Z #go +1 🎧 12,558

Dependencies! We need them, but how do we use them effectively and safely? In this week’s episode Kris is joined by Ian and Johnny to discuss the polyfill.io supply chain attack, the history of dependency management and usage in Go, and the Go Proverb that “a little copying is better than a little dependency”. Of course, we wrap up the episode with some Unpopular Opinions!

Changelog Interviews Changelog Interviews #598

Code review anxiety

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2024-07-03T15:00:00Z #brain-science +2 🎧 17,180

Carol Lee (Clinical Scientist) shares her research on code review anxiety. We dive deep into her recent research paper “Understanding and Effectively Mitigating Code Review Anxiety”. We get into all the nooks and crannies of this topic — common code review myths, strategies for coping, the need for awareness and self-reflection, the value of exposure and practice to build confidence, the importance of team dynamics, respect, empathy, and connection, and more. This show is jam-packed with goodies for everyone…and we even give a nod to the work we did on our podcast Brain Science.

Go Time Go Time #319

Is Go evolving in the wrong direction?

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2024-06-18T21:30:00Z #go 🎧 14,328

This week we’re catching up on the news! Kris is joined by Ian to discuss some of the recent news from around the Go community. Listen in to hear whether the co-hosts believe there’s software that shouldn’t be written in Go, their thoughts on if Go is evolving in the right direction & whether common nouns make good package names.

Go Time Go Time #318

How things get done on the Go Team

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2024-06-12T14:45:00Z #go +1 🎧 12,229

Angelica is joined by Cameron Balahan, Sameer Ajmani & Russ Cox from the Go Team at Google to talk about how things get done on the Go Team, how do they decide what to improve and then how do they go about improving it. We also discuss how they decide what to work when & what the future of Go might look like.

Practical AI Practical AI #271

AI in the U.S. Congress

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2024-05-29T14:30:00Z #ai +2 🎧 25,010

At the age of 72, U.S. Representative Don Beyer of Virginia enrolled at GMU to pursue a Master’s degree in C.S. with a concentration in Machine Learning.

Rep. Beyer is Vice Chair of the bipartisan Artificial Intelligence Caucus & Vice Chair of the NDC’s AI Working Group. He is the author of the AI Foundation Model Transparency Act & a lead cosponsor of the CREATE AI Act, the Federal Artificial Intelligence Risk Management Act & the Artificial Intelligence Environmental Impacts Act.

We hope you tune into this inspiring, nonpartisan conversation with Rep. Beyer about his decision to dive into the deep end of the AI pool & his leadership in bringing that expertise to Capitol Hill.

Changelog Interviews Changelog Interviews #592

From Sun to Oxide

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2024-05-22T12:30:00Z 🎧 19,915

Bryan Cantrill, Co-founder and CTO of Oxide Computer Company, joins Adam to share his journey from Sun to Oxide – from Sun and Fishworks, to DTrace, to ZFS, to Joyent and Node.js, and now working to build on-prem cloud servers as they should be at Oxide.

Changelog Interviews Changelog Interviews #590

Good timing makes great products

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2024-05-08T12:30:00Z #culture +1 🎧 16,384

Paul Orlando is back to talk about his book titled “Why Now?” You may remember Paul from his last appearance (a fan favorite) talking with Jerod about complex systems & second-order effects. Paul’s book, “Why Now?” explores the concept of timing and the importance of understanding the ‘why now’ in business and product development. We discuss timing examples from the book that were either too early or too late (such as the first video phone and car phones), the need to consider both technological advancements and user demand when assessing timing, the significance of timing in the success of companies like Apple and the launch of the iPhone, Uber and Heroku, and more. Also, join our Slack community for a chance to get a signed copy of Paul’s book.

Changelog Interviews Changelog Interviews #587

Leading and building Raycast

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2024-04-17T12:30:00Z #startups +2 🎧 18,520

This week Adam is joined by Thomas Paul Mann, Co-founder and CEO of Raycast, to discuss being productive on a Mac, going beyond their free tier, the extensions built by the community, the Raycast Store, how they’re executing on Raycast AI chat which aims to be a single interface to many LLMs. Raycast has gone beyond being an extendable launcher – they’ve gone full-on productivity mode with access to AI paving the way of their future.

Ship It! Ship It! #96

Productivity engineering at Netflix

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2024-03-23T17:00:00Z #ops 🎧 8,663

What’s the difference between productivity engineering and platform engineering? How can you continue to re-platform with a moving target? On this episode, we’re joined by Andy Glover, who spent ten years productivity engineering at Netflix, to discuss.

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