Air to Ground Message:

COCKPIT DOOR WILL NO LONGER LOCK. NO FAULT LIGHT. DOOR CODE PANEL FAILED.

Area: Somerville, NJ, USA
Type: Airbus A319
A: #a190a56ff5b
F: #f396ed6115d

#acars #vdlm2

New (Quieter) Sub Feeds!

If you're a fan of @acarsdrama - but want to follow a less noisy version of our feed, we're please to announce nine new sub feeds that allow you to follow based on your own personal drama interests!

@emergencies_failures - tracks broken things, system failures, and emergencies

@medical - tracks medical events

@excreta - if it is launched from the human body, you'll find it here

@badpax - often the worst part of flying is the people you are sat next too

@wtf - things that make you ask WTF?!

@animals - our four legged friends are not immune from drama

@wx - weather related happenings and diversions

@ride_reports - bumpiness ratings

@crewing_ops - related to the operational side of aviation

And of course we still have @top_shelf and @trending

We hope that these feeds provide another option for your daily drama ingestion!

#acars #vdlm2 #avgeek

If you don’t have the resources to write and understand the code yourself, you don’t have the resources to maintain it either.

Any monkey with a keyboard can write code. Writing code has never been hard. People were churning out crappy code en masse way before generative AI and LLMs. I know because I’ve seen it, I’ve had to work with it, and I no doubt wrote (and continue to write) my share of it.

What’s never been easy, and what remains difficult, is figuring out the right problem to solve, solving it elegantly, and doing so in a way that’s maintainable and sustainable given your means.

Code is not an artefact, code is a machine. Code is either a living thing or it is dead and decaying. You don’t just write code and you’re done. It’s a perpetual first draft that you constantly iterate on, and, depending on what it does and how much of that has to do with meeting the evolving needs of the people it serves, it may never be done. With occasional exceptions (perhaps? maybe?) for well-defined and narrowly-scoped tools, done code is dead code.

So much of what we call “writing” code is actually changing, iterating on, investigating issues with, fixing, and improving code. And to do that you must not only understand the problem you’re solving but also how you’re solving it (or how you thought you were solving it) through the code you’ve already written and the code you still have to write.

So it should come as no surprise that one of the hardest things in development is understanding someone else’s code, let alone fixing it when something doesn’t work as it should. Because it’s not about knowing this programming language or that (learning a programming language is the easiest part of coding), or this framework or that, or even knowing this design pattern or that (although all of these are important prerequisites for comprehension) but understanding what was going on in someone else’s head when they wrote the code the way they wrote it to solve a particular problem.

It frankly boggles my mind that some people are advocating for automating the easy part (writing code) by exponentially scaling the difficult part (understanding how exactly someone else – in this case, a junior dev who knows all the hows of things but none of the whys – decided to solve the problem). It is, to borrow a technical term, ass-backwards.

They might as well call vibe coding duct-tape-driven development or technical debt as a service.

🤷‍♂️

#AI #LLMs #vibeCoding #softwareDevelopment #design #craft