An overview of what makes modern CSS so awesome.

I feel uneasy about design patterns.
On the one hand, my university class on design patterns revived my interest in programming.
On the other hand, I find most patterns in the Gang of Four book to be irrelevant to my daily work;
they solve problems that a choice of programming language or paradigm creates.

My litmus test of a good design pattern is its cross-disciplinary applicability.
I’m more likely to accept an idea that pops up in fields beyond software engineering.
And the most convincing patterns are the ones that help me in everyday life.

This article describes a universal pattern that billions of people rely on daily, but software engineers rarely discuss—the plan-execute pattern.

The solution to all of these problems

I humbly put forward that modern web development provides us all the utilities to move away from class names and implement something much more robust, with some fairly straightforward changes:

Attributes

Attributes allow us to parameterise a component using a key-value representation, very similar to Map<string, T>. Browsers come with a wealth of selector functions to parse the values of an attribute.

Why do people keep telling me to use PGP? The answer is that they shouldn’t be telling you that, because PGP is bad and needs to go away.

Take control of your honks and join the federation.
An ActivityPub server with minimal setup and support costs.
Spend more time using the software and less time operating it.

A well-equipped ASCII diagram builders freely available on the internet.
It stresses portability, simplicity, and immediateness.

Storage for private, distributed, offline-first applications. Earthstar is a specification and JavaScript library for building connected applications owned and run by their users.

This blog series creates a small operating system in the Rust programming language. Each post is a small tutorial and includes all needed code.

A lightning post on logic programming in Haskell to construct a workout weekly schedule given the set of exercises, days and constraints.

Most functional languages rely on some garbage collection for automatic memory management. They usually eschew reference counting in favor of a tracing garbage collector, which has less bookkeeping overhead at runtime. On the other hand, having an exact reference count of each value can enable optimizations, such as destructive updates. We explore these optimization opportunities in the context of an eager, purely functional programming language. We propose a new mechanism for efficiently reclaiming memory used by nonshared values, reducing stress on the global memory allocator. We describe an approach for minimizing the number of reference counts updates using borrowed references and a heuristic for automatically inferring borrow annotations. We implemented all these techniques in a new compiler for an eager and purely functional programming language with support for multi-threading. Our preliminary experimental results demonstrate our approach is competitive and often outperforms state-of-the-art compilers.

Between our ESP32 prokaryotic organisms and our 24/7 Internet-enabled megafauna servers, there exists a vast and loosely-defined ecosystem of things the B2B world likes to call computer appliances. Picture a bespoke Pi 4 packaged up neatly with some Python scripts, a little fancy plastic embossing, and maybe a well-guarded id_ed25519.pub in case you end up in hot water during the (long - very long, stable cash flow for generations long) maintenance contract, and you’re in the ballpark.