Run displayplacer list to print your current layout’s args so you can create profiles for scripting/hotkeys with Automator, BetterTouchTool, etc.

The creators of this new Nix resource thought the existing Nix docs were a bit difficult to navigate for beginners and believe flakes are the future of Nix and wanted to introduce more people to them early in the learning process.

Creating and sharing reproducible development environments for AI experiments and production systems is a huge pain. You have all sorts of weird dependencies, and then you have to deal with GPUs and NVIDIA drivers on top of all that! brev.dev is attempting to mitigate this pain and create delightful GPU dev environments. Now that sounds practical!

Yup, that Neon. Congrats to Nikita and team for this big win.

Databases and web apps go together like peanut butter and jelly. In a word, they’re inseparable. And despite all the amazing innovations in NoSQL data stores, often a good old relational database is the most reliable tool for the job.

We want to make it completely seamless to develop applications that need databases on Replit. Starting today, you can create and instantly begin to use PostgreSQL databases from within the Replit workspace.

The fine print.

Under the hood, this product is powered by our friends at Neon who have created a lightning-fast serverless database. The database will go to sleep after 5 minutes of inactivity. Most clients should handle the reconnection seamlessly.

Fred K. Schott joins the party again to discuss all the new and fun changes in Astro 2. Nick and KBall dig in on what’s new, what’s exciting, and what to expect from the framework built around content.

Inspired by NES.css

Max Countryman wrote up a framework for prioritizing tech debt, shadcn builds a copy/paste-able UI component library in public, Justin Etheredge shares 20 things he’s learned in his 20 years as a software engineer, Jacob Stopak’s git-sim lets you easily visualize git operations without affecting your repo & Mattias Wadman implemented jq in jq.

Ruby on Jets allows you to create and deploy serverless services with ease, and to seamlessly glue AWS services together with the most beautiful dynamic language: Ruby. It includes everything you need to build an API and deploy it to AWS Lambda. Jets leverages the power of Ruby to make serverless joyful for everyone.

I’m not (yet) big on serverless things, but if I were, I’d love to run some Ruby code there.

This is a Pythonic wrapper around stable diffusion with image editing by InstructPix2Pix. The four images featured below (top) are generated by the following command:

imagine "a scenic landscape" "a photo of a dog" "photo of a fruit bowl" "portrait photo of a freckled woman"

Then they are edited (bottom) with the following commands:

>> aimg edit scenic_landscape.jpg "make it winter" --prompt-strength 20
>> aimg edit dog.jpg "make the dog red" --prompt-strength 5
>> aimg edit bowl_of_fruit.jpg "replace the fruit with strawberries"
>> aimg edit freckled_woman.jpg "make her a cyborg" --prompt-strength 13

This week we’re talking about by Postgres with Craig Kerstiens, Chief Product Officer at Crunchy Data, and a well known ambassador for Postgres. Just Postgres. That’s what this week’s show is about.

Jerod & the gang analyze the State of JS 2022 survey results, play a wicked game of HeadLIES & share some Pro Tips to help you live your best dev life.

Lars is big on Elixir. Think apps that scale really well, tend to be monolithic, and have one of the most mature deployment models: self-contained releases & built-in hot code reloading. In episode 7, Gerhard talked to Lars about “Why Kubernetes”. There is a follow-up YouTube stream that showed how to automate deploys for an Elixir app using K3s & ArgoCD.

More than a year later, how does Lars think about running applications in production? What does simple & straightforward mean to him? Gerhard’s favourite: what is “human scale deployments”?

This was written over a year ago, but since it took Justin Etheredge 20 years to acquire these 20 pithy (his word) pieces of wisdom, I don’t think it’ll be going stale anytime soon. My three favs, as a sampler:

1. The best code is no code, or code you don’t have to maintain
2. Every system eventually sucks, get over it
3. Your data is the most important part of your system

Tech lawyer Luis Villa returns to Go Time to school us once again on the intellectual property concerns of software creators in this crazy day we live in. This time around, we’re focusing on the implications of Large Language Models, code generation, and crazy stuff like that.

This project is from the SQLite team themselves. Their reasoning for it:

SQLite is sometimes used as the core of a client/server database system. While it works reliably well in such cases, the database backend module that it uses to store b-tree structures in its database file was not designed with this case in mind and can be improved upon in several ways. The HC-tree (hctree) project is an attempt to develop a new database backend that improves upon regular SQLite as follows…

It improves concurrency, adds support for replication & removes database size limitations.

Jeremia Kimelman:

Datasette is an open source tool that takes an SQLite database and gives you an out-of-the-box, web-based UI built specifically for exploring data. Need an example? Here’s a database of all of Motley Fool’s earning transcripts that I used to look for talk of their California campaign activity. And here’s a bunch of other examples of Datasette from the official site.

And the thing is: I love Datasette. It recently turned 5 years old and I wanted to write down the thing that makes it an absolutely delightful data hammer.

In this post, I will show you some advanced usage patterns for working with Playwright in order to take a screenshot of a specific element and modify the contents of the image, either before taking the screenshot or after, using image preprocessing tools.

Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge.

This library is aimed at assisting in the development of those types of applications.

LangChain is designed to help with prompts, chains (sequences of calls), data augmented generation, agents, memory & evaluation tasks.

Evil Martians work on dozens of Ruby on Rails projects every year. Naturally, this involves a lot of Ruby gems. So what would it look like if they were somehow able to converge into one Gemfile—the ideal Martian Gemfile? Our development philosophies, programming habits, and soul are within this universe of Martian gems.