
danialhasan
10.5K posts

danialhasan
@dhasandev
building agent armies @trysquadhq | manifest your destiny @_buildspace
Toronto, Canada Katılım Ekim 2020
988 Takip Edilen2.4K Takipçiler
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a big risk of the ai era moving so fast, and everybody working so hard (clauding 14 hours a day) is people never taking a step back to see how the world around them is changing.
you need to step back, relax, take a few walks, and WRITE to notice things others miss.
you just can't notice some things when youre IN it. you need to reflect, and writing is the best tool for straightening out the mind
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@WarMonitors it was an IR missile that came from under the cockpit, which means the pilot couldn't see it...
which doesn't make sense since the aircraft is see-through via cameras piped into the pilots HUD, so the pilot must have been able to see the missile trail. but didn't react. oh well
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@danshipper Great. now run this experiment 100 more times and analyze the results
I love science
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Delve just scammed hella companies in the space, if you or someone you know was involved tell em to check themselves!!
erin griffith@eringriffith
A detailed and brutal look at the tactics of buzzy AI compliance startup Delve "Delve built a machine designed to make clients complicit without their knowledge, to manufacture plausible deniability while producing exactly the opposite." substack.com/home/post/p-19…
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danialhasan retweetledi

heads up that if you use @getdelve for compliance they're blatant fraudsters and have opened you up to massive legal liability.
@karunkaushik_ and @kocalars i hope you both go to jail :)
erin griffith@eringriffith
A detailed and brutal look at the tactics of buzzy AI compliance startup Delve "Delve built a machine designed to make clients complicit without their knowledge, to manufacture plausible deniability while producing exactly the opposite." substack.com/home/post/p-19…
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danialhasan retweetledi

opencode 1.3.0 will no longer autoload the claude max plugin
we did our best to convince anthropic to support developer choice but they sent lawyers
it's your right to access services however you wish but it is also their right to block whoever they want
we can't maintain an official plugin so it's been removed from github and marked deprecated on npm
appreciate our partners at openai, github and gitlab who are going the other direction and supporting developer freedom
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danialhasan retweetledi
danialhasan retweetledi


the kanban isnt where the value is at, its the provenance of state changes over time that translate into real work you can deploy, evaluate, and improve over time.
theyre just an abstraction; and you should remove abstractions when theyre not helpful. at scale, cloud inference on hundreds/thousands of task will just need to be controlled in a different way.
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@danshipper codex had subagents before today, just didnt sho wup in the ui
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@ryancarson @linear We're building this at trysquad.ai and would love to hear more about you on this
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The company that actually builds the agent-first code factory is going to be worth hundreds of billions of dollars.
No one has cracked it yet.
It can't be the model labs because then you're tied to one model.
I'm hoping a company like @linear will do this.
I'd happily pay thousands of dollars a month for that (+ the token cost).
Basically, we need SDLC 2.0 for the agent age.
(Also, the right solution can't rely on gh - we need whoever does this to completely replace it as well.)
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ive been wondering why, over the last few months at work, ive been seeing more & more slop from jrs
not the usual slop either. now its slop with extra layers of complexity wrapped around it to hide it
ofc juniors are always going to make mistakes. thats normal. but before, the blast zone was limited by how fast they could open prs. now they can open prs way faster
so we keep adding stricter & stricter guardrails
but instead of tightening up the implementation, the agent seems to push them into a different pattern. more structure, more branches, more splitting, more abstraction, just because
it just decomposes harder. breaks things into more pieces. adds more layers for no real reason
during training i hammer home the architecture, and a lot of the time we end up answering it manually anyway because the overhead starts to outweigh the benefit
concerning
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@mattshumer_ ytou can also say "explain like im 15" because "explain like im 5" abstracts too much so 15 is the sweet spot for quick comprehnsion
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Add this to your Codex custom instructions for a way better experience:
"When communicating your results back to me, explain what you did and what happened in plain, clear English. Avoid jargon, technical implementation details, and code-speak in your final responses. Write as if you're explaining to a smart person who isn't looking at the code. Your actual work (how you think, plan, write code, debug, and solve problems) should stay fully technical and rigorous. This only applies to how you talk to me about it.
Before reporting back to me, if at all possible, verify your own work. Don't just write code and assume it's done. Actually test it using the tools available to you. If possible, run it, check the output, and confirm it does what was asked. If you're building something visual like a web app, view the pages, click through the flows, and check that things render and behave correctly. If you're writing a script, run it against real or representative input and inspect the results. If there are edge cases you can simulate, try them.
Define finishing criteria for yourself before you start: what does "done" look like for this task? Use that as your checklist before you come back to me. If something fails or looks off, fix it and re-test. Don't just flag it and hand it back. The goal is to keep me out of the loop on iteration. I want to receive finished, working results, not a first draft that needs me to spot-check it. Only come back to me when you've confirmed things work, or when you've genuinely hit a wall that requires my input."
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