We’re talking all things text mode with Lucas da Costa — we logged his post “How I’m still not using GUIs in 2019” a guide focused on making the terminal your IDE. We talked through his Terminal starter pack which includes: neovim, tmux, iterm2, and zsh by way of oh-my-zsh, his rules for learning vim, the awesomeness of CLI’s, and the pros and cons of graphical and plain text editors.
It’s the end of 2020 and on this year’s “State of the log” episode Adam and Jerod carry on the tradition of looking back at our favorite moments of the year – we talk through our most popular episodes, our personal favorites and must listen episodes, top posts from Changelog Posts, and what we have in the works for 2021 and beyond.
Daniel had the chance to sit down with @swyx and Alessio from the Latent Space pod in SF to talk about current AI trends and to highlight some key learnings from past episodes. The discussion covers open access LLMs, smol models, model controls, prompt engineering, and LLMOps. This mashup is magical. Don’t miss it!
This week we’re talking about Nix with Domen Kožar. The Nix ecosystem is a DevOps toolkit that takes a unique approach to package management and system configuration. Nix helps you make reproducible, declarative, and reliable systems. Domen is writing the Nix ecosystem guide at nix.dev and today he takes us on a deep dive on all things Nix.
New research shows that CAPTCHAs are now utterly useless, hundreds of concerned technologists signed the OpenTF Manifesto to keep Terraform open source forever, Josh Collinsworth writes down all the things you forgot (or never knew) because of React, Mike Seidle shared some quick-but-powerful advice on building new software features & Erlend Sogge Heggen urges new open source projects to join the Fediverse (by way of Mastodon).
This week we’re talking about type checking with Jake Zimmerman. Jake is one of the leads at Stripe working on Sorbet — an open source project that does Type checking in Ruby and runs over Stripe’s entire Ruby codebase. As of May of 2022 Stripe’s codebase was over 15 million lines of code spread across 150,000 files. If you think you have a bigger Ruby codebase, Jake is down to go byte-for-byte to see who wins. Jake shares tons of wisdom and more importantly he shares why he thinks types will win in the end.
Waymo cars make bad neighbors, Leonardo Creed pulls together wisdom from Linus Torvalds & the Art of Unix Programming to conclude what good programmers worry about, Max Schmitt makes the argument that toast notifications create a bad user experience, ChartDB is a web-based database diagramming editor, Simon Tatham makes a list of code review anti-patterns & scientists confirm that ‘flow state’ is very much a thing.
Red Hat’s decision to lock down RHEL sources behind a subscription paywall was met with much ire and opened opportunity for Oracle to get a smack in and SUSE to announce a fork with $10 million behind it.
Few RHEL community members have been as publicly irate as Jeff Geerling, so we invited him on the show to discuss.
This week is all about Maintainer Week — it’s a week long event starting June 7th for open source maintainers to gather, share, and be celebrated. We’re joined by Josh Simmons (Ecosystem Strategy Lead at Tidelift & President of Open Source Initiative) and Kara Sowles (Senior Open Source Program Manager at GitHub). Of course we love open source maintainers, that’s why we’re so excited about Maintainer Week and making it an annual thing. Today we talk through all the details of this event, what we can expect for this year and the years to come.
This week we’re joined by Solomon Hykes, the creator of Docker. Now he’s back with his next big thing called Dagger — CI/CD as code that runs anywhere. We’re users of Dagger so check out our codebase if you want to see how it works. On today’s show Solomon takes us back to the days of Docker, what it was like on that 10 year journey, his transition from Docker to Dagger, Dagger’s community-led growth model, their focus on open source and community, how it works, and even a cameo from Kelsey Hightower to explain how Dagger works.
This week we’re talking about NFTs — that’s right, non-fungible tokens and we’re joined by Mikeal Rogers, who’s leading all things InterPlanetary Linked Data at Protocol Labs. We go down the NFT rabbit hole on a very technical level and we come out the other side with clarity and a compelling use of NFTs.
A Rust for Linux developer resigns amidst rising tension in the Linux community, Bret Victor shows off what he’s been working on for years, Rachel (by the bay) laments how useless “SRE” has become as a role, Doug Turnbull makes the case for hiring junior devs & Baldur Bjarnason says the LLM honeymoon phase is about to end.
This week Jerod is joined by Paul Biggar the creator of Dark, a new way to build serverless backends. Paul shares all the details about this all-in-one language, editor, and infrastructure, why he decided to make Dark in the first place, his view on programming language design, the advantages Dark has as an integrated solution, and also why it’s source available, but NOT open source.
Jeremy Howard thinks Mojo might be the biggest programming language advance in decades, Amelia Wattenberger is not impressed by AI chatbots, a leaked Google memo admits big tech has no AI moats & Werner Vogels reminds us that monoliths are not dinosaurs.
Recently the company stewarding the open source library scikit-learn announced their seed funding. Also, OpenAI released “o1” with new behavior in which it pauses to “think” about complex tasks. Chris and Daniel take some time to do their own thinking about o1 and the contrast to the scikit-learn ecosystem, which has the goal to promote “data science that you own.”
Zed Shaw – creator of Mongrel, Learn Python the Hard Way, and more – joined the show to talk through a recent Twitter thread from Zed where he shared his thoughts on open source, making money in open source, corporate interests and involvement, developer culture, and more.
On Monday, Kelsey Hightower announced his retirement from Google. On Tuesday, he sat down with us to discuss why, how & what’s next.
Along the way, Kelsey teaches us how not to suck at work, analyzes his magical demos, fights off the haters (again) & opines on System Initiative, Dagger & 37Signals moving off the cloud.
Maxime Vaillancourt joined us to talk about Shopify’s massive storefront rewrite from a Ruby on Rails monolith to a completely new implementation written in Ruby. It’s a fairly well known opinion that rewrites are “the single worst strategic mistake that any software company can make” and generally something “you should never do.” But Maxime and the team at Shopify have proved successful in their efforts in this massive storefront rewrite and today’s conversation covers all the details.
We’re talking with Mike McQuaid about Homebew 2.0.0, supporting Linux and Windows 10, the backstory and details surrounding the security issue they had in 2018, their new governance model, Mike’s new role, the core team meeting in-person at FOSDEM this year, and what’s coming next for Homebrew.
The fall of Stack Overflow, researches dig up some new (and potentially unavoidable) LLM attacks, Google proposes a new API that Ron Amadeo calls a DRM gatekeeper for the web, the Python Steering Council affirms PEP 703 & Lucas McGregor writes why no one wants to talk to your chatbot.
This week we talk with Kent C. Dodds, one of the greatest React teachers in the industry, all about React! Why choose React over another framework? What are the hardest parts about learning React? You’ll find out this week!
In late 2019, Bill Nichols, a senior member of the technical staff at Carnegie Mellon University with the Software Engineering Institute published his study on “the 10x developer myth.” On this show we talk with Bill about all the details of his research. Is the 10x developer a myth? Let’s find out.
This week we’re talking about the latest infrastructure updates we’ve made for 2021. We’re joined by Gerhard Lazu, our resident SRE here at Changelog, talking about the improvements we’ve made to 10x our speed and be 100% available. We also mention the new podcast we’ve launched, hosted by Gerhard. Stick around the last half of the show for more details.
Daniel and Chris do a deep dive into OpenAI’s ChatGPT, which is the first LLM to enjoy direct mass adoption by folks outside the AI world. They discuss how it works, its effect on the world, ramifications of its adoption, and what we may expect in the future as these types of models continue to evolve.
Go Time panelist (and semi-professional unpopular opinion maker) Kris Brandow joins us to discuss his deep-dive on the waterfall paper, his dislike of the “tech debt” analogy, why documentation matters so much & how everything is a distributed system.
This week Alexander Neumann takes Jerod on a tour of Restic, the world-class backup solution that’s fast, secure, and cross-platform. We discuss why he created Restic in the first place, how (and why you should) you use it, some of its more interesting technical bits, lessons learned over the years building and maintaining a community, and more of course.
We’ve had representatives from Stanford’s Institute for Human-Centered Artificial Intelligence (HAI) on the show in the past, but we were super excited to talk through their 2024 AI Index Report after such a crazy year in AI! Nestor from HAI joins us in this episode to talk about some of the main takeaways including how AI makes workers more productive, the US is increasing regulations sharply, and industry continues to dominate frontier AI research.
The Cursor AI code editor raises $60 million, RedMonk’s Rachel Stephens tries to determine if rug pulls are worth it, Caleb Porzio details how he made $1 million on GitHub Sponsors, Elastic founder Shay Banon announces that Elasticsearch is open source (again) & Tomas Stropus writes about the art of finishing.
You can’t build robust systems with inconsistent, unstructured text output from LLMs. Moreover, LLM integrations scare corporate lawyers, finance departments, and security professionals due to hallucinations, cost, lack of compliance (e.g., HIPAA), leaked IP/PII, and “injection” vulnerabilities.
In this episode, Chris interviews Daniel about his new company called Prediction Guard, which addresses these issues. They discuss some practical methodologies for getting consistent, structured output from compliant AI systems. These systems, driven by open access models and various kinds of LLM wrappers, can help you delight customers AND navigate the increasing restrictions on “GPT” models.
Hyperswitch is like the adapter pattern for payments, Austin Henley writes about the future of programming by summarizing recent research papers, Thoughtworks published their 28th volume of their Tech Radar, the team at General Products reminds devs to scan our technical writing for words such as “easy”, “painless”, “straightforward”, “trivial”, “simple” and “just” & we finish with a lightning round of cool tools.
