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Search - "expert systems"
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Insecure... My laptop disk is encrypted, but I'm using a fairly weak password. 🤔
Oh, you mean psychological.
Working at a startup in crisis time. Might lose my job if the company goes under.
I'm a Tech lead, Senior Backender, DB admin, Debugger, Solutions Architect, PR reviewer.
In practice, that means zero portfolio. Truth be told, I can sniff out issues with your code, but can't code features for shit. I really just don't have the patience to actually BUILD things.
I'm pretty much the town fool who angrily yells at managers for being dumb, rolls his eyes when he finds hacky code, then disappears into his cave to repair and refactor the mess other people made.
I totally suck at interviews, unless the interviewer really loves comparing Haskell's & Rust's type systems, or something equally useless.
I'm grumpy, hedonistic and brutally straight forward. Some coworkers call me "refreshing" and "direct but reasonable", others "barely tolerable" or even "fundamentally unlikable".
I'm not sure if they actually mean it, or are just messing with me, but by noon I'm either too deep into code, or too much under influence of cognac & LSD, wearing too little clothing, having interesting conversations WITH instead of AT the coffee machine, to still care about what other humans think.
There have been moments where I coded for 72 hours straight to fix a severe issue, and I would take a bullet to save this company from going under... But there have also been days where I called my boss a "A malicious tumor, slowly infecting all departments and draining the life out of the company with his cancerous ideas" — to his face.
I count myself lucky to still have a very well paying job, where many others are struggling to pay bills or have lost their income completely.
But I realize I'm really not that easy to work with... Over time, I've recruited a team of compatible psychopaths and misfits, from a Ukranian ex-military explosives expert & brilliant DB admin to a Nigerian crossfitting gay autist devops weeb, to a tiny alcoholic French machine learning fanatic, to the paranoid "how much keef is there in my beard" architecture lead who is convinced covid-19 is linked to the disappearance of MH370 and looks like he bathes in pig manure.
So... I would really hate to ever have to look for a new employer.
I would really hate to ever lose my protective human meat shield... I mean, my "team".
I feel like, despite having worked to get my Karma deep into the red by calling people all kinds of rude things, things are really quite sweet for me.
I'm fucking terrified that this peak could be temporary, that there's a giant ravine waiting for me, to remind me that life is a ruthless bitch and that all the good things were totally undeserved.
Ah well, might as well stay in character...
*taunts fate with a raised middlefinger*13 -
I spent over a decade of my life working with Ada. I've spent almost the same amount of time working with C# and VisualBasic. And I've spent almost six years now with F#. I consider all of these great languages for various reasons, each with their respective problems. As these are mostly mature languages some of the problems were only knowable in hindsight. But Ada was always sort of my baby. I don't really mind extra typing, as at least what I do, reading happens much more than writing, and tab completion has most things only being 3-4 key presses irl. But I'm no zealot, and have been fully aware of deficiencies in the language, just like any language would have. I've had similar feelings of all languages I've worked with, and the .NET/C#/VB/F# guys are excellent with taking suggestions and feedback.
This is not the case with Ada, and this will be my story, since I've no longer decided anonymity is necessary.
First few years learning the language I did what anyone does: you write shit that already exists just to learn. Kept refining it over time, sometimes needing to do entire rewrites. Eventually a few of these wound up being good. Not novel, just good stuff that already existed. Outperforming the leading Ada company in benchmarks kind of good. At the time I was really gung-ho about the language. Would have loved to make Ada development a career. Eventually build up enough of this, as well as a working, but very bad performing compiler, and decide to try to apply for a job at this company. I wasn't worried about the quality of the compiler, as anyone who's seriously worked with Ada knows, the language is remarkably complex with some bizarre rules in dark corners, so a compiler which passes the standards test indicates a very intimate knowledge of the language few can attest to.
I get told they didn't think I would be a good fit for the job, and that they didn't think I should be doing development.
A few months of rapid cycling between hatred and self loathing passes, and then a suicide attempt. I've got past problems which contributed more so than the actual job denial.
So I get better and start working even harder on my shit. Get the performance of my stuff up even better. Don't bother even trying to fix up the compiler, and start researching about text parsing. Do tons of small programs to test things, and wind up learning a lot. I'm starting to notice a lot of languages really surpassing Ada in _quality of life_, with things package managers and repositories for those, as well as social media presence and exhaustive tutorials from the community.
At the time I didn't really get programming language specific package managers (I do now), but I still brought this up to the community. Don't do that. They don't like new ideas. Odd for a language which at the time was so innovative. But social media presence did eventually happen with a Twitter account that is most definitely run by a specific Ada company masquerading as a general Ada advocate. It did occasionally draw interest to neat things from the community, so that's cool.
Since I've been using both VisualStudio and an IDE this Ada company provides, I saw a very jarring quality difference over the years. I'm not gonna say VS is perfect, it's not. But this piece of shit made VS look like a polished streamlined bug free race car designed by expert UX people. It. Was. Bad. Very little features, with little added over the years. Fast forwarding several years, I can find about ten bugs in five minutes each update, and I can't find bugs in the video games I play, so I'm no bug finder. It's just that bad. This from a company providing software for "highly reliable systems"...
So I decide to take a crack at writing an editor extension for VS Code, which I had never even used. It actually went well, and as of this writing it has over 24k downloads, and I've received some great comments from some people over on Twitter about how detailed the highlighting is. Plenty of bespoke advertising the entire time in development, of course.
Never a single word from the community about me.
Around this time I had also started a YouTube channel to provide educational content about the language, since there's very little, except large textbooks which aren't right for everyone. Now keep in mind I had written a compiler which at least was passing the language standards test, so I definitely know the language very well. This is a standard the programmers at these companies will admit very few people understand. YouTube channel met with hate from the community, and overwhelming thanks from newcomers. Never a shout out from the "community" Twitter account. The hate went as far as things like how nothing I say should be listened to because I'm a degenerate Irishman, to things like how the world would have been a better place if I was successful in killing myself (I don't talk much about my mental illness, but it shows up).
I'm strictly a .NET developer now. All code ported.5 -
As I was browsing pornhub, I started reading articles about AI, dick still in hand, and went down the rabbit-hole (no pun intended) of self referential systems and proofs. This is something I do frequently (getting off track, not beating off, though I have been slacking recently).
Now I'm no expert but my neurotic DID personality which prompted this small reading binge DOES think it is an expert. And it got me thinking.
Godel’s second incompleteness theorem says that "no sufficiently strong proof system can prove its own consistency."
Then utilizing proof by contradiction, systems that are "sufficiently strong" should produce truth outputs that are monotonic. E.g. statements such as "this sentence is a lie."
Wouldn't monotonicity then be proof (soft or otherwise) that a proof system is 'sufficiently strong' in the sense that Godel's second theorem meant?
Edit: I WELCOME input, even if this post is utterly ignorant and vapid. I really don't know shit about formal systems or logic. Welcome any insight or feedback that could enlighten me.1 -
ARE YOU READY FOR WORKPLACE BRAIN SCANNING?
Extracting and using brain data will make workers happier and more productive, backers say
https://spectrum.ieee.org/neurotech...
"What takes much more time are the cognitive and motor processes that occur after the decision making—planning a response (such as saying something or pushing a button) and then executing that response. If you can skip these planning and execution phases and instead use EEG to directly access the output of the brain’s visual processing and decision-making systems, you can perform image-recognition tasks far faster. The user no longer has to actively think: For an expert, just that fleeting first impression is enough for their brain to make an accurate determination of what’s in the image."12 -
I recently tried to apply the same data analytics rationale that I use at work to my personal life. This is not a rant, it is more like an data storytelling of an actual use case I would like some input on.
I set a goal - gotta thin up a bit and calm down my ticker - and got a (almost unreasonably expensive) field expert consultant to yell at me about it for a couple hours.
I unravel the metrics - there is like a million weight-related KPIs and most say nothing at all. I have never seen an non-infrastructure measurable subject that could not be resumed to 2-5 performance metrics. I got overall weight, how well my nine-years-old business suit fits me, heart rate, and day-after relative muscle pain (it will make sense soon).
Then its data-pipeline time. I bought a cheap weight scale and smartwatch, and every morning I input the data in an app. Yes, I try to put on the suit every morning. It still does not fit.
After establishing a baseline, I tried to fit different approaches. Doing equipment-free exercises, going to the gym, dieting. None was actually feasible in the long run, but trying different approaches does highlight the impacts and the handling profile of each method.
Looking at the now-gathered data, one thing was obvious - can't do dieting because it is not doable to have a shopping list and meals for me and another for the family.
Gym is also off the table - too much overhead. I spend more time on the trip there and back than actually there.
And home exercise equipment is either super crappy or very expensive. But it is also the most reasonable approach.
So it is solutions time. I got a nice exercise bycicle (not a peloton), an yoga mat (the wife already had that one) and an exercise program that uses only those two resources. Not as efficient without dieting, not as measurable and broad as the gym, but it fits my workflow. Deploy to production!
A few months pass and the dataset grows. The signal is subtle but has support - it works! The handling, however, needs improvement, since I cannot often enough get with the exercise program. Some mornings are just after some hard days.
I start thinking about what else I can improve in the program, but it is already pretty lean and full of compromises.
So I pull an engineer and start thinking about the support systems and draft profile. What else could be draining my willpower and morning time?
Chores. Getting the kids ready for school, firing up the moka pot, setting the off-brand roomba, folding the overnight-dried clothes, cooking breakfast, doing the dishes, cleaning the toilets. All part of my morning routine. It might benefit from some automation.
Last month I got that machine our elders call "wasteful" and "useless crap lazy entitled Americans invented because they feel oh-so-insulted for simply doing something by hand like everyone always did" - a "dish-washer".
Heh, I remember how hard was to convince my mother-in-law that an remote-controled electric garage door would not make she look like an spoiled brat.
Still to early to call, but I think that the dishwasher just saved me about 25 mins every morning. It might be enough to save willpower for me to do more exercise.
This is all so reflective of all data analytics cases really are out in the wild - the analytics phase seems so small compared to the gathering and practical problem-solving all around. And yet d.a. is what tells you that you are doing the wrong thing all along. Or on what you should work next.7 -
I just watched https://youtube.com/watch/... - towards the (very) end he's talking about how software developers rule the world... and I just realized something.
A while back, I was working on an accounting sub system for a SaaS product. We managed some of the revenue of our customers and had the accounting for that part as well. Revenue + Payments (with all the VAT / sales tax / ... that you need to have). BUT no expenses.
One day, the head accountant of a customer, angrily demanded that we immediately implement a new payment method, called commission.
You don't need to be an accounting expert for knowing, that a commission is an expense you have because somebody else marketed / sold your product / service for you. Making it a payment method is probably wrong. With a bit more knowledge you'd know that the taxes which are around expenses are completely different to revenue or payments. (btw payments didn't even have any taxes in those countries that we covered at that time at least).
So there I was standing, a software developer, trying to explain the product manager and the head accountant of our customer, that the idea is beyond stupid, and the fact that it comes from an accountant is super scary to me. (he was usually extremely picky about everything we did.)
Luckily, it was easy to convince the manager. He tried to explain it to the accountant but that person just didn't get it.
as if designing resilient distributed systems, which have 99,99% up time weren't hard enough, we also need to be experts in every domain that we have to deal with? And if there is a tiny bug and one out of 10s of thousands of transactions is screwed up, people start panicking and "loose trust in the product"? - what the hell is wrong with them?
Luckily it's a minority of customers only, but each of them is such a pain. Do you also have customers like that? who should know better, but somehow you are the expert in their domain?2 -
Have my final exam tomorrow.
Main topic is expert systems (XPS).
I don't know jack shit, but I don't care at this point.
Good night.5 -
Just because i can write computer programs does not mean I'm an expert in anything electrical from surround sound systems, TVs and any other kind of device!
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My biggest personal challenge as a dev is getting help. Sometimes I feel so deserted.
Now and then I have to do things that are not my expertise and I feel out of my depth. I think if I had an expert come in for a day they would be able to save me weeks of slow progress. There are dev things like updating frameworks, etc which I am fine to struggle through or read the docs, etc but things like setting up servers, enabling single sign on, database administration, integration with other systems. These are not really software development tasks but they need to be done. It seems every time I try to get help it is so much effort then the help I get turns out not to be helpful.
In my current role I have no budget or company credit card, etc. To make any sort of purchase I need to get my manager to write a business case to get approved by his manager signed in triplicate, buried in soft peat, etc. Even if I went through this process there are so many companies out there who want to get paid to do nothing and say they are experts in all things. It is almost impossible to know if we would get competent help or if I end up just wasting time explaining issues to people in phone meetings who are no help. -
Just got off a call with Mongo expert... Seems it's not good for large systems that need to be fast and scale...5
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I seem to be seen as our team expert on build systems, and I'm literally on a call trying to help someone fix a problem they're having with the windows build system. My only real contribution to the conversation has been "does it build on Linux?", to which the answer was "no", and everything after that has just been other people discussing the more informative error messages coming from the Linux build system.1
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Needing some career advice.
Hey guys I'm 21 years old and currently on my third year studying Information Systems. For the past two I've been working either on internships or freelancing, at this time I've worked on around 10 projects, some for big companies. During that time I managed to get experience on many languages and tools and although I'm no expert on any, I've gained confidence to approach problems better, analyze them and project solutions.
Right now I'm thinking about searching for a remote job, as I live in Brazil and salaries here are not good.
Any advice on getting a job?1