Comment by aaronbrethorst
8 days ago
The vast majority of any interesting project is boilerplate. There's a small kernel of interesting 'business logic'/novel algorithm/whatever buried in a sea of CRUD: user account creation, subscription management, password resets, sending emails, whatever.
Yes so why would you spend tons of time and introduce a huge amount of technical debt by rewriting the boring parts, instead of just using a ready made off the shelf solution in that case.
You'd think that there be someone who'd be nice enough to create a library or a framework or something that's well documented and is popular enough to get support and updates. Maybe you should consider offloading the boring part to such a project, maybe even pay someone to do it?
That was a solved problem in the 00's with the advent of Rails, or so i thought. Then came the JS framework craze and everything needed to be reinvented. Not just that, but frameworks which had all these battle-tested boring parts were not trendy anymore. Micro framworks became the new default and idiots after idiots jumped on that bandwagon only to reimplement everything from scratch because almost any app will grow to a point where it will need authn, user mgmt, mail, groups and so on...
This depends entirely on the type of programming you do. If all you build is CRUD apps then sure. Personally I’ve never actually made any of those things — with or without AI
You are both right. B2B for instance is mostly fairly template stuff built from CRUD and some business rules. Even some of the more perceived as 'creative' niches such as music scoring or 3D games are fairly route interactions with some 'engine'.
And I'm not even sure these 'template adjacent' regurgitations are what the crude LLM is best at, as the output needs to pass some rigorous inflexible test to 'pass'. Hallucinating some non-existing function in an API will be a hard fail.
LLM's have a far easier time in domains where failures are 'soft'. This is why 'Elisa' passed as a therapist in the 60's, long before auto-programmers were a thing.
Also, in 'academic' research, LLM use has reached nearly 100%, not just for embelishing writeups to the expected 20 pages, but in each stage of the'game' including 'ideation'.
And if as a CIO you believe that your prohibition on using LLMs for coding because of 'divulging company secrets' holds, you are either strip searching your employees on the way in and out, or wilfully blind.
I'm not saing 'nobody' exists that is not using AI in anything created on a computer, just like some woodworker still handcrafts exclusive bespoke furniture in a time of presses, glue and CNC, but adoption is skyrocketing and not just because the C-suite pressures their serves into using the shiny new toy.
> "And if as a CIO you believe that your prohibition on using LLMs for coding because of 'divulging company secrets' holds, you are either strip searching your employees on the way in and out, or wilfully blind."
Right so if you are in certain areas you'll be legally required not to send your work to whatever 3:rd party that promises to handle it the cheapest.
Also so since this is about actually "interesting" work if you are doing cutting edge research on lets say military or medical applications** you definitely should take things like this seriously.
Obviously you can do LLM's locally if you don't feel like paying up for programmers who likes to code, and who wants to have in-depth knowledge of whatever they are doing.
** https://www.bbc.co.uk/news/articles/c2eeg9gygyno
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Most places I worked the setting up of that kind of boilerplate was done a long time ago. Yes it needs maintaining and extending. But rarely building from the ground up.