I've written a small persistent agent wrapper for agent.py. I'm impressed with how well it works. I feel like a CEO issuing global memos to all my agents after reading their status reports.
Any conversation
๐ฒ๐ ๐๐ฐ๐ฏ ๐ฆ๐ฏ๐๐๐ฒ๐ผ๐ ๐ ๐๐ซ๐ ๐ฅ๐น ยท๐ก๐จ๐๐ฉ๐ฏ๐ฐ๐ ๐๐ต๐ ๐ค๐ฑ๐๐ค๐ฆ ๐๐ด ๐ ๐๐ฆ๐ฏ๐ผ ๐ฒ ๐ฅ๐ฑ๐ ๐๐จ๐ฅ๐ฉ๐ฏ ๐๐ง๐ฎ๐ฆ๐๐ญ๐๐ฐ, ๐ฅ๐ฐ๐๐ด ๐๐ต๐, ๐ฎ๐ฒ๐, ๐ฏ ๐๐ฆ๐๐ฉ๐ค๐.
Iโve been inspired to cook more Japanese food lately so for dinner I made salmon teriyaki, miso soup, rice, and pickles.
let i=0;while(++i){process.stdout.write(i%80==0?'\n':Math.random()<0.5?'/':'\\')}\\\//\/\\\\\\\///\///\\\\\//\///\/\/\\//\/\//\//\/\//\\/\///\\\\\\//\\\\\/\\\\/
\\/\\/\/\///\\\/\///\/\/////\\///\/\\/\\\//\\\/\///////\\\/\////\\\/\\\//\\/\//
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\\/\//\\//\///\/\///\\\\/\//\/\\/\/\//\\/\/\/\\/\/\\/\\\\/\/////\\\///\\\\\//\\Really glad to be using Haskell for work - especially in today's climate with agentic coding.
Our team uses containers to keep our development environment consistent across team members, though, and most agent sandbox approaches want to either offload your work fully to the cloud or they want to sandbox the agent harness process itself.
We're not ready for full cloud based development (yet?) and sandboxing just the agent doesn't work for us when the agent needs to run docker.
mandelbrot
for y in range(10):
s=''
for x in range(25):
a=[]
for q in range(2):
z=c=x/25*3-2+1j*((y*2+q)/10-1);n=40
while n and abs(z)<2:z=z*z+c;n-=1
a+=[n<5]
s+=" โโโ"[a[0]+2*a[1]]
print(s)
โโ
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โ โโโโโโโโโ
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โโโ โโโโโโโโโ
โโโโโโโโ
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โโI gotta confess, I vibe codet a Kirigami-based application and I liked it. I am a anti AI person, and cannot wait for the bubble to burst. Yet I see it can empower people that do not know a tech stack, and get good enough results out of it. However i also see, it makes you lazy (and frustrates as soon as it gets somewhat complicated). It seems it is being adopted everywhere. This is scary... if it becomes necessary, will you be able to find a job where they don't require you to use AI?
