alt Hacker NewsNah man. I understand the frustration, but this is a glass is half empty view.
You have decades of expert knowledge, which you can use to drive the LLMs in an expert way. Thats where the value is. The industry or narrative might not have figured that out yet, but its inevitable.
Garbage in, garbage out still very much applies in this new world.
And just to add, the key metric to good software hasn't changed, and won't change. It's not even about writing the code, the language, the style, the clever tricks. What really matters is how well does the code performs 1 month after it goes live, 6 months, 5 years. This game is a long game. And not just how well does the computer run the code, but how well can the humans work with the code.
Use your experience to generate the value from the LLMs, cuase they aren't going to generate anything by themselves.
Replies
> What really matters is how well does the code performs 1 month after it goes live, 6 months, 5 years.
After 40 years in this industry—I started at 10 and hit 50 this year—I’ve developed a low tolerance for architectural decay.
Last night, I used Claude to spin up a website editor. My baseline for this project was a minimal JavaScript UI I’ve been running that clocks in at a lean 2.7KB (https://ponder.joeldare.com). It’s fast, it’s stable, and I understand every line. But for this session, I opted for Node and neglected to include my usual "zero-framework" constraint in the prompt.
The result is a functional, working piece of software that is also a total disaster. It’s a 48KB bundle with 5 direct dependencies—which exploded into 89 total dependencies. In a world where we prioritize "velocity" over maintenance, this is the status quo. For me, it’s unacceptable.
If a simple editor requires 89 third-party packages to exist, it won't survive the 5-year test. I'm going back to basics.
I'll try again but we NEED to expertly drive these tools, at least right now.
Yes, I think this is reasonable.
I have been consistently skeptical of LLM coding but the latest batch of models seems to have crossed some threshold. Just like everyone, I've been reading lots of news about LLMs. A week ago I decided to give Claude a serious try - use it as the main tool for my current work, with a thought out context file, planning etc. The results are impressive, it took about four hours to do a non-trivial refactor I had wanted but would have needed a few days to complete myself. A simpler feature where I'd need an hour of mostly mechanical work got completed in ten minutes by Claude.
But, I was keeping a close eye on Claude's plan and gradual changes. On several occasions I corrected the model because it was going to do something too complicated, or neglected a corner case that might occur, or other such issues that need actual technical skill to spot.
Sure, now a PM whose only skills are PowerPoint and office politics can create a product demo, change the output formatting in a real program and so on. But the PM has no technical understanding and can't even prompt well, let alone guide the LLM as it makes a wrong choice.
Technical experts should be in as much demand as ever, once the delirious "nobody will need to touch code ever again gives way to a realistic understanding that LLMs, like every other tool, work much better in expert hands. The bigger question to me is how new experts are going to appear. If nobody's hiring junior devs because LLMs can do junior work faster and cheaper, how is anyone going to become an expert?
^ Big this. If we take a pessimistic attitude, we're done for.
I think the key metric to good software has really changed, the bar has noticeably dropped.
I see unreliable software like openclaw explode in popularity while a Director of Alignment at Meta publicly shares how it shredded her inbox while continuing to use openclaw [1], because that's still good enough innit? I see much buggier releases from macOS & Windows. The biggest military in the world is insisting on getting rid of any existing safeguards and limitations on its AI use and is reportedly using Claude to pick bombing targets [2] in a bombing campaign that we know has made mistakes hitting hospitals [3] and a school [4]. AI-generated slop now floods social networks with high popularity and engagement.
It's a known effect that economies of scale lowers average quality but creates massive abundance. There never really was a fundamental quality bar to software or creative work, it just has to be barely better than not existing, and that bar is lower than you might imagine.
[1] https://x.com/summeryue0/status/2025774069124399363
[3] https://www.reuters.com/world/middle-east/who-says-has-it-ha...
[4] https://www.nbcnews.com/world/iran/iran-school-strike-us-mil...
Hi Grok, nice comment!
Glass half empty view? Their whole skill set built up over decades, digitized, and now they have to shift everything they do, and who knows humans will even be in the loop, if they’re not c-suite or brown nosers. Their whole magic and skill is now capable of being done by a PM in 5 minutes with some tokens. How is that supposed to make skillful coders feel?
Massive job cuts, bad job market, AI tools everywhere, probable bubble, it seems naive to be optimistic at this juncture.