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In this podcast, the hosts discuss the seven deadly sins of Go and the importance of considering different use cases in software development. They also explore the evolution of concurrency patterns in Go, the concept of gluttony in programming, and the pros and cons of Go frameworks. Additionally, they emphasize the importance of avoiding unknown unknowns and over-engineering, and share their opinions on vampires. The significance of documentation and sources of information in investigating code changes is also highlighted, along with the unpopular opinion that Go is a great language for software engineering.

It seems like everyone is interested in Rust these days. Even the most popular Python linter, Ruff, isn’t written in Python! It’s written in Rust. But what is the state of training or inferencing deep learning models in Rust? In this episode, we are joined by Nathaniel Simard, the creator burn. We discuss Rust in general, the need to have support for AI in multiple languages, and the current state of doing “AI things” in Rust. Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Neo4j – NODES 2023 is coming in October! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Nathaniel Simard – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:burn-rs: This library strives to serve as a comprehensive deep learning framework, offering exceptional flexibility and written in Rust. Something missing or broken? PRs welcome!

The podcast features tracks inspired by 8-bit and 16-bit music from Nintendo and Sega games. The hosts discuss the benefits of positive mindset. A chapter with repeated phrases and gibberish adds some fun confusion.

Changelog drops musical albums with Breakmaster Cylinder. Justin Searls discusses tool failure. The Unix Sheikh on abstractions. Raspberry Pi 5 compared. Jorge Medina on content overload.

KBall, panelist on JS Party, shares his passion for coaching and developing human skills. The podcast covers topics such as the challenges of conferences, staying motivated in content creation, computer vision and AI, packaging content, creating melodies for IP legal cases, effective communication and empathy, importance of asking questions and listening, and self-reflection.

In this podcast, Jerod interviews Philipp Heckel, the creator of ntfy, a service that allows users to send notifications to their phone or desktop via scripts. They delve into the motivation behind building ntfy, its features, and plans for the future. The discussion also touches on collaborations with .tech domains and explores technical details of message delivery in the app. They explore the potential of ntfy as a platform and reflect on recent experiences and upcoming episodes.

Emily Freeman and James Q. Quick discuss the long term impact of AI on developers, exploring adoption challenges and the need for experimentation. They also delve into the potential ethical implications of opting out of language model crawlers and discuss the societal and legal implications of AI development.

The podcast discusses the concept of 'effect' in TypeScript and its relevance in building robust applications. It explores the benefits of observability in web development, the advantages of using 'effect' and observability in programming, and the integration of X state and effect for state management.

Chip Huyen explores the shifting sand of large data models, Herman Õunapuu reviews the Zimaboard, Bryan Braun shares recent VSCode configuration discoveries, and Swizec Teller summarizes the inaugural AI Engineer Summit.

In this episode, the hosts discuss their recent experiences with various improvements including enabling HTTP/3, Brotli compression, and Fastly websockets. They also talk about the importance of continuous improvement and the consequences of ignoring small problems at scale. The discussion covers advancements in data and machine learning, the challenges of enabling WebSockets for O-BAN Web, and the impact of sophisticated tooling on engineers. They also reflect on attending a large conference, deliberate networking, and share their contact information for further conversations.