theoldreader/api: The Old Reader API
The API for TheOldReader.
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Is it just me or is The Boss much, much more difficult in Delta than the original MGS3?
Personally, I'm new to MGS Delta (or any MGS game). I've done okay all the way through the game, but can't beat the Boss boss fight (or rather the first hour I tried getting through it got me nowhere).
Seems like even folk who played MGS3 have found it's not so simple...
the Fennel programming language
Because I need another Lisp in my life, of course...
News API to Search & Collect Worldwide News - NewsData.io
A news API with a (not great but possibly useful) free tier. Could be handy as the backend for a fun application build.
Phonological variables | Our Dialects
A really interesting map of how spoken language changes around the UK.
Red & blue functions are actually a good thing
A rebuttal of sorts for the red/blue language post.
What Color is Your Function? – journal.stuffwithstuff.com
An amusing take on async/await being sprinkled all over a language. While this is aimed more at the JavaScript crowd, I think the Python folk can relate too.
There are some good points here, and some good descriptions of the sort of frustration that can be felt. At the same time there are also some not-quite-sensible aspects to it as well.
Still a fun read.
Every UUID
Like it says on the tin.... every UUID.
learnings - Wiktionary, the free dictionary
I hate learnings
An insightful alternative to the dreadful jargon "learnings" - Josh Bernoff
I hate learnings...
Git Notes: git's coolest, most unloved feature - Tyler Cipriani
You can add notes to commits in git. It's almost never spoken about.
Why I'm declining your AI generated MR - Stuart Spence Blog
I've been thinking recently about AI/LLM-created PRs on GitHub. I've only received a couple, and they've not been great. This has got me wondering if I should entertain them at all from both a software development point of view, and also an ethical point of view.
This blog post is an interesting read for someone else's take on things.
Using Common Lisp from inside the Browser
Details about a method of running Common Lisp code in the browser.
GNU Artanis - A fast web application framework for Scheme
Just what it says in the title: a web framework in Scheme.
libyear
A simple measure of software dependency freshness. It is a single number telling you how up-to-date your dependencies are.
Interruptions cost 23 minutes 15 seconds, right?
An intertesting dive into the history of the "common knowledge" relating to the impact of an interruption on someone (generally) working on code.
Supply Chain Security Alert: num2words PyPI Package Shows Signs of Compromise - StepSecurity
Interesting supply chain attack on a Python package.
Content Security Policy - OWASP Cheat Sheet Series
Useful information on content security policy.
AlphaGenome: AI for better understanding the genome
Saved because it's of past interest to past me in a remote way.
React Still Feels Insane And No One Is Talking About It
React has never felt quite right to me, but I've never been able to put my finger on why. This article does a good job of gettinng a similar feel to what I feel.
ismail-yilmaz/Bobcat: A powerful yet user-friendly cross-platform terminal emulator.
Yet another terminal emulator.
Email is Easy
For decades now I've been annoyed by systems that validate email addresses, badly. This is useful to help illustrate how people often get the idea of a "valid" email address wrong.
A crash course in machine learning
Google's crash course in machine learning.
Software Engineering for Machine Learning: A Case Study
Abstract—Recent advances in machine learning have stimulated widespread interest within the Information Technology sector on integrating AI capabilities into software and services. This goal has forced organizations to evolve their development processes. We report on a study that we conducted on observing software teams at Microsoft as they develop AI-based applications. We consider a nine-stage workflow process informed by prior experiences developing AI applications (e.g., search and NLP) and data science tools (e.g. application diagnostics and bug reporting). We found that various Microsoft teams have united this workflow into preexisting, well-evolved, Agile-like software engineering processes, providing insights about several essential engineering challenges that organizations may face in creating large-scale AI solutions for the marketplace. We collected some best practices from Microsoft teams to address these challenges. In addition, we have identified three aspects of the AI domain that make it fundamentally different from prior software application domains: 1) discovering, managing, and versioning the data needed for machine learning applications is much more complex and difficult than other types of software engineering, 2) model customization and model reuse require very different skills than are typically found in software teams, and 3) AI components are more difficult to handle as distinct modules than traditional software components — models may be “entangled” in complex ways and experience non-monotonic error behavior. We believe that the lessons learned by Microsoft teams will be valuable to other organizations.
Repomix
While the tool is aimed at repos, more generally a tool for taking a ton of different files and turning them into a single source that can be thrown at some sort of learning system so you can ask questions of it.
Why I prefer human-readable file formats
In praise of human-readable (and hopefully writable too) file formats.
Cucumber lets you write automated tests in plain language | Hacker News
Hacker news does Cucumber. Hot takes.
Drum Field Archers
I'm tempted to get back into field archery after around 3 decades of not doinng it. Here's one local group...
Frame of preference
The way that settings were done on the various Mac operating systems, down the ages.
PostSpark - GitHub Contributions Chart Generator
Yet another GitHub contribution graph generator thing. Looks nice.