The coming coordination calamity
(surfingcomplexity.blog)
from codeinabox@programming.dev to programming@programming.dev on 25 May 08:24
https://programming.dev/post/50942524
from codeinabox@programming.dev to programming@programming.dev on 25 May 08:24
https://programming.dev/post/50942524
#programming
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AI code is pretty unusably bad for long term use anyway medium.com/…/i-saw-the-horror-of-ai-and-coderabbi… so best solution is to just to handwrite proper code as before. It’s not like we ever had much of an output problem in most coding industries, it was always a quality and bugs problem.
Can you maybe post the text.
That article is from January. This space moves too fast. It’s not worth reading. I thought things still sucked in Jan too. But they’re impressive af now.
It’s impressive until it isn’t because it decided to “fix” an issue by simply ignoring an exception.
I’m sorry to say this is a garbage take. I have been told “6 months ago things sucked, but they are amazing now” for like 2 years.
When chatgpt4 came out I was told it was amazing and that 6 months old models sucked.
Nowadays I use chatgpt4 and it produces garbage and I get told “yeah but chatgpt4 is garbage”. Well, it was supposedly amazing 6 months ago and my work is still the same and the codebase is mostly the same.
This is called bullshitting. This stuff isn’t amazing now and it wasn’t amazing 6 months ago.
I realize you aren’t happy about it. But it’s true.
I was basically born behind a computer in 1978. Been a fulltime software dev since 1998.
What the latest models are doing is nothing short of incredible. And in 6 months the current models will suck compared to the latest.
Somewhere around Feb is when things really shifted for me personally. I can do all home sys and net admin tasks now by just asking a bot, running a LOCAL model. Frontier models can whip up apps in minutes.
It does require dev/architect knowledge to get quality. You have to understand the broad solution, then just get ai to do the grunt work.
I wrote all 4 of these this week, 100% ai code. I wouldn’t have had the time to write the first three, but it (opus 4.6 I think) oneshot them all in a couple mins:
Homey apps:
Other:
Do these repos have bugs? Yep probably. But they’re working today for me solving my problems.
The same applies on large repos where I do work. When properly guided by a high skill dev/architect, the results are profound. Even non code stuff like terraform and ansible.
Given proper direction, an LLM allows you to perform at a much higher level.
Is anyone actually productively running multiple agents at once? All the context switching in such a short time span feels like a great way to completely forget what you are doing and losing tasks in the mess.
I am getting in the habit of keeping one async agent going in the background working on things while I also use ai in windsurf.
I think windsurf supports this natively with their background agents, but I run my background task in Claude code because then I can use my local qwen 3.6 27b
No but you can lie to yourself that you are.