Devraj
182 posts

Devraj
@atri_devraj
CS student Building AI agents with langGraph Sharing the journey here gitHub : https://t.co/RHMAOzdpaL
Katılım Mayıs 2025
70 Takip Edilen11 Takipçiler

@NormalThings8 @yegor256 Yeah, finally a software bug that will be billable per token 😅
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@atri_devraj @yegor256 That may be wrong in a non-deterministic manner!
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@aryanlabde “Netflix in 11 minutes” , man 😂
You copied a UI, not: the recommendation engine ,the global streaming infra ,the CDN
,the payment stack.
People keep mistaking “frontend generation” for “business creation.”
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THIS DEVELOPER HASN’T PAID AN API BILL IN 3 MONTHS. HIS AGENTS RAN 10,000 TIMES FOR FREE
he built a local AI lab under his desk
two GPUs 32GB VRAM zero rate limits
his agents loop 400 times if they want to
his coworkers are still watching the usage dashboard
the only thing separating them: llama.cpp + llama-swap
every prompt stays on his machine every experiment costs $0 zero invoices
bookmark & like this before your next API bill hits
leopardracer@leopardracer
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@nothiingf4 deep agents use the file system approach , how do you diffferentiate about when to use file systems and when to use a database according to the use case ? i am a bit confused here
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hey everyone , just an update on my recent project , i have made the database and malloy semantic layer for it . you can check out the code here on quack insights
github.com/DevrajAtri/Qua…
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@Param_eth I will probably see you in a homeless shelter. I will be there too
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@aditiitwt Maybe their windows laptop didn't have the battery life to ever work in public
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@mustafaergisi @_vmlops How does this work? Does it generate sql code?
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@ParasVerma7454 Don't worry man, everyone wastes money doing engineering
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@wholyv It will be pretty monotonous if it only sees the Twitter posts but it's ok if you just want it to generate tweets for you. You could enhance it by first asking to scan your profile . The user can then write his tweet and the agent can enhance it which will match his personality
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