Piku
Link: Piku: "piku, inspired by dokku, allows you do git push deployments to your own servers, no matter how small they are."
There are now several new and different ways for us to try and get back the magic of #heroku #git-push deployments. The attached link shows a new entrant that’s worth a look
How to build a basic RAG app
Link: How to build a basic RAG app: "The dawn of Generative AI makes possible new kinds of capabilities for the applications we build...."
RAG, RAG, RAG. It seems everyone is talking about it. The attached article has a nice hands on scenario to help me understand what RAG is all about.
Accidental prompt injection against RAG applications
Link: Accidental prompt injection against RAG applications: "@deepfates on Twitter used the documentation for my LLM project as a demo for a RAG pipeline they were building... and this happened: Why did their chatbot demo suddenly decide …"
This article helped me understand a little more about RAG.
Communication Structures
Link: Communication Structures: "Communication Structures."
Insights about communication across layers in an organization. Pretty sensible advice.
Puts Debuggerer 1.0.0 Includes Invoked Class/Method Name
Link: Puts Debuggerer 1.0.0 Includes Invoked Class/Method Name: "code master oop ruby jruby java jee jse desktop web gui glimmer swt libui tk gtk rails"
Yes we all do it. Debugging with print statements. This ruby package makes our print statements more informative and findable. Check it out!
Omakub
Link: Omakub: "Turn a fresh Ubuntu installation into a fully-configured, beautiful, and modern web development system by running a single command."
I've been doing a lot of setting up lately. Between K3S, Docker, Robots and so on. I've become good friends with the shell, yaml files, bash scripts, and much more. This article shows a nice one-liner approach:
Doing Stuff with AI: Opinionated Midyear Edition
Link: Doing Stuff with AI: Opinionated Midyear Edition: "AI systems have gotten more capable and easier to use"
I think many technology savvy people are way underestimating the usefulness of large language models, LLMs, like ChatGPT, the best known LLM. But there are others. And they are improving and changing on a weekly basis. But my respect and admiration for their capabilities also makes me (helplessly) worry about how they WILL be used to cause serious harm in the future. The attached article is a great run down of current capabilities of these systems.
How to Use Tailwind CSS for Your Ruby On Rails Project
Link: How to Use Tailwind CSS for Your Ruby On Rails Project: "Let's see how we can use Tailwind CSS in a Rails application and explore its utility-first approach."
For a while now I’ve seen mentions of the Tailwind css library. I’ve been a Bootstrap guy forever. The attached article is a good explainer to learn about Tailwind and Rails. (The world of tech never stops even for a moment)
From the Circle to Epicycles (Part 1) - An animated introduction to Fourier Series
Link: From the Circle to Epicycles (Part 1) - An animated introduction to Fourier Series: "A visual introduction to Fourier Series"
An amazing tour de force in mathematical visualization. Honestly I can follow the first half and then I am lost. But I really appreciate the creative and beautiful animations.
Testing with Python (part 6): Fake it...
Link: Testing with Python (part 6): Fake it...: "Things might get harder, though"
This article is part of a series on … testing with python! It is an excellent overview of mocking, explaining the why, but more importantly showing lots of examples and assessing how well and conveniently they work. Worth reading.