I'm a web developer and find the playwright MCP to be genuinely useful. My LLM is able to navigate my site, measure the size of elements, see console errors, network requests, etc. This is the only MCP I've ever installed and haven't yet had any cause to use others. But I'm interested in hearing what other professionals are using.

Does anyone here have experience with Ruby programming? More specifically mRuby or DragonRuby for game programming?

I came across DragonRuby as free for its 7th anniversary and I’m considering checking it out, but I have no experience with the Ruby programming language itself.

Most of my programming experience recently is in C# and Python, but I have some experience with JavaScript/TypeScript.

Does anyone know of good resources for learning Ruby coming from that background, or thoughts on if it is worth it to try to pick up?

I’m not really interested in LLM-based Ruby workflows, at least until I have a decent grasp of the language and syntax myself.

Ive been playing around with learning a lisp language for a while, and I recently decided to go for it and learn fennel (as I already am comfortable with lua) just to see if I like lisps as a class. Normally, I try to do the first 5-10 days of a previous advent of code to pick up a lang.

Setting up my advent of code environment got me wondering: what projects do other people use to learn new languages/tooling? Id love to hear how other people approach learning a new skill.

I probably triggered some PTSD right there.

Was just in a meeting at work, where we listed off everything that makes software development hard and slow. An excersize for the thread would be to replicate that list. It turned out that Claude helps with like 1/5th or less of it....especially in a collaborative environment.

So, the situation we're now encountering is that random business areas can vibe code out something, tell nobody, throw it in AWS, have it become a critical part of a business process that fails when they quit, and nobody even has access to look at what was made.

It gives me comfort that in about 5 years there will be a new surge in demand for programmers to reign in all the rogue applications that need shutdown because of the immense risk to continual operation of a company, from data leaks to broken payroll.

It'll be Y2K all over again.

For a long time programmers have had two types of program verification tools, static analysis (like a compiler's checks) and dynamic analysis (running a test suite). I find myself using LLMs to analyze newly written code more and more. Even when they spit out a lot of false positives, I still find them to be a massive help. My workflow is something like this:

1. Commit my changes
2. Ask Claude Opus "Find problems with my latest commit"
3. Look though its list and skip over false positives.
4. Fix the true positives.
5. git add -A && git commit --amend --no-edit
6. Clear Claude's context
7. Back to step 2.

I repeat this loop until all of the issues Claude raises are dismissable. I know there are a lot of startups building a SaaS for things like this (CodeRabbit is one I've seen before, I didn't like it too much) but I feel just doing the above procedure is plenty good enough and catches a lot of issues that could take more time to uncover if raised by manual testing.

It's also been productive to ask for any problems in an entire repo. It will of course never be able to perform a completely thorough review of even a modestly sized application, but highlighting any problem at all is still useful.

Someone recently mentioned to me that they use vision-capable LLMs to perform "aesthetic tests" in their CI. The model takes screenshots of each page before and after a code change and throws an error if it thinks something is wrong.

I've been thinking a lot about LLM assisted development, and in particular why I keep dropping the available tools after a few attempts at using them.

I realized recently that it's taking away the part of software development I enjoy: the creative problem solving that comes with writing code. What's left is code review tasks, testing, security checks, etc. Important tasks, but they all primarily involve heavy concentration, and much less creativity.

Why aren't agents focused on handling the mundane tasks instead? Tell me if I've just introduced a security vulnerability or a runtime bug. Generate realistic test data and give me info on what the likely output would be. Tell me that the algorithm I just wrote is O(n^2).

Those tasks are so much more applicable to matching against existing data, something LLMs should be extremely good at, rather than trying to get them to write something novel, which so far they've been mostly bad at, at least in my experience.

I relatively recently reinstalled my OS (distro-hopping to Fedora KDE) and as I was installing my various everyday programs, I began to wonder whether there were any solid competitors to VSCode in the space other than IntelliJ products (which I strongly dislike compared to VSCode already). I've used VSCode for a while, but I've definitely noticed my experience with the app getting a little bloated and overwhelmed. But I'm not keeping my finger on the pulse of new IDEs, so I don't know if there's anything new (or at least a solid alternative of some sort) out there that people are switching to.

I'm on Linux, so nothing Mac-exclusive. I know VSCode's extension library is probably hard to match given its popularity, but I'd hope for an alternative that at least has potential to have extensions to cover lesser-known languages and file formats for me. I liked the look and feel of VS Code when I switched to it years ago, so I'm all for apps with similar vibes, but I'd like something that feels faster and more focused.

Please don't recommend vim. I've already heard of vim, and if I wanted to switch to it I would have already.

I've made the decision to purchase a new M5 Macbook Air because of the memorypocalypse. My current M1 model is already upgraded to the amount of memory and storage as the current base model and I'm wondering if it's worth spending the extra 2-4 hundred dollars on memory upgrades today.

My current computer is more than good enough for today but I figure I should probably future proof just in case. I was thinking the 16GB would be enough, but I also know that I'm kind of falling behind by not embracing AI coding agents. According to my research the maximum 32GB is recommended for most coding-relevant models - almost as a minimum.

I work in education so coding is not actually much of a need, and obviously there are cloud providers I could use if I end up needing them in the future. I also have less than a teacher's salary because I work part time, which is the greatest reason why I'm sticking with the 16GB base for the moment, but other than that I also don't do many memory-intensive programs. But I thought I would get some recommendations before they start shipping.

I'd also be interested on people's opinions on trading in my old one, since it'll only get me ~$275 back. I'm considering reneging on that part and keeping it around to act as a web server or give it to my husband who has a computer that still runs Windows 7 and barely uses it.

I've grown increasingly unsure about if I'll stay with this profession long term thanks to the AI "revolution". Not because I think I'll be replaced, I have an extremely wide set of skills thanks to working over a decade in small startups so I think I'm safe for a long while to come.

No, I've grown weary because an increasingly larger share of the code that we produce is expected to be ai generated and with it shorter timelines and I just plain don't like it. I think we reached a tipping point around Claude opus 4.5 where it really is capable and that's only going to continue to get better. But damnit I like coding, I enjoy the problem solving and I feel that's getting stripped away from me basically overnight. Also, as these models become more and more capable I think the number of companies vibe coding to a product with fields of junior level engineers is going to grow which is going to push down senior job opportunities and wages.

So now I'm left wondering if it's time to start pointing towards a new career. I really love building stuff and solving problems so maybe I go back to school and switch to some other flavor of engineering? Idk. Curious where other's heads are at with this.

LISP and schemes have always, from a distance appeared to be the best way to write code. I even started my own language that has languished for the past couple years, and it's taken on a pseudo-likeness to (scheme)-like languages by accident.

This brings me to my questions -

1. How did you start?
2. Does anyone here do systems-level scheme/lisp? what do you program in for that?

A month ago I decided to take a look at Zed. It hasn't hit 1.0 yet so I wasn't sure if I'd like it. But I haven't opened any other code editors since the first launch. It's open source and seems to be cross-licensed with multiple free software licenses.

Beyond the nice GUI performance from their use of native code it's clear that my use of VSCode forks for the last few years has kept me held back. There are lots of little things I love about Zed like how you can edit code within the search results page. Or how you can use your own self-hosted LLM without the outrageous shenanigans required to do so with Cursor.

For a while now I have used VSCodium- which is just Microsoft's VSCode, but with as much of the telemetry stripped out (or rather, not built-in in the first place) as possible- but I've found myself with a desire to move away from Electron-based apps for a number of reasons.

Primarily, I'm ideologically opposed to the trend in which everything is an Electron-based web app packaged as a "desktop application", but on a slightly more functional note, Electron seems to behave poorly in Wayland contexts, especially on Arm64 devices.

In terms of feature set, I'm not too interested in complexity. Something open-source, relatively clean / light-weight, capable of providing a project overview and a number of tabbed or vsplit / hsplit buffers. Something with comprehensive syntax highlighting and some form of language server interface. Something theme-able, and good to look at, with relatively intuitive or well-established keyboard shortcuts. I don't much care for integrated terminals, extensive debugging tooling, or any form of built-in AI assistant.

I have been trying out Micro, with a set of plugins which allow for a project overview, a language server, and a number of other QOL improvements, but it has a list of breaking issues that will likely not be solved for years given the speed at which pull-requests are addressed, if at all. Even so- it hits most of the marks that I find most important to me.

But I'm also interested in what other people use; what other programmers find matter to them. So what text editors, or IDEs do you swear by (and please don't suggest VIM- it's overwhelming ;])?

I heavily utilize ChatGPT to generate .ics files to populate my Apple Calendar with various events, but I have been wanting to upgrade my time management and also use the Reminders app.

I recently used ChatGPT to help me populate a Trello board with tasks associated with a project I am working on, but I was getting annoyed with having my workflow split across Apple Calendar and Trello. I exported my Trello board as a CSV and was trying to have ChatGPT turn it into a file I could import into Reminders, but as it turns out, this is not easy.

.ics files do contain syntax for reminders tasks with due dates that populate the Apple Calendar, but generating an .ics file with only reminders tasks and importing into Calendar doesn’t actually work. Calendar recognizes that the .ics contains Reminders tasks and opens Reminders to import the tasks, but Reminders returns an error because it doesn’t support import, it only supports export to Calendar.

I found that Reminders has a Reminders.scpt dictionary file within the .app package that details .applescript commands that can create new tasks, so I fell into the world of AppleScript. The issue with AppleScript is that it was created in the 80s and hasn’t been updated since 2013. It has no native CSV support and is pretty clunky.

AppleScript does have text file support, so I was able to have ChatGPT convert my CSV into a .txt that I could parse with AppleScript. This allowed me to automate the creation of tasks in the Reminders app from my Trello CSV, but it was annoying and I still feel like there must be a better way.

Does anyone here use AppleScript regularly and know its full capabilities?

Also, are there any good resources out there for learning more about AppleScript? The Apple documentation is very out of date and it seems like more of a legacy language than something Apple regularly maintains.