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really nice.

really nice.

@protovibes

making really nice stuff for you

Katılım Mart 2025
77 Takip Edilen16 Takipçiler
really nice. retweetledi
Mr. Loop
Mr. Loop@HabitLoopAI·
End your roommate marriage. Take 2 minutes at the end of every day to ask your wife how her day was. Put your phone down. Look her in the eyes. Listen. Do this every single day.
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really nice.@protovibes·
The vibes are returning
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really nice.@protovibes·
No AI will remove all the key frictions which hinder you when building a business.
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really nice.
really nice.@protovibes·
@ryanjhunter I've used AI to inspect that grease stain and confirmed it's legitimate fry residuals from headquarters. Definitely legit. Disconcerting.
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r j hunter
r j hunter@ryanjhunter·
mcp fam, what are we gonna do this is outrageous
r j hunter tweet media
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Danny DeLeteo.js
Danny DeLeteo.js@deleet0·
Has vibe coding completely destroyed anyone else’s sleep schedule? Or am I just lucky
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really nice.@protovibes·
There's so much opportunity around us. We've been given a gift with vibe coding.
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Omar
Omar@notomarsol·
Is now a good time to build a startup with all the uncertainty in the world?
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really nice.
really nice.@protovibes·
We must take care to program ourselves or someone else will do the programming.
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really nice.@protovibes·
5 popular Agentic AI Design Patterns 1. Reflection Pattern - The LLM first generates an output. - It then reflects on that output and iterates to improve the response.
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Alexander Pauwelyn
Alexander Pauwelyn@iampoweling·
Little man turned 4 months old. The real ROAS lies outside your ad account.
Alexander Pauwelyn tweet media
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really nice.@protovibes·
Good morning! Today will be good.
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really nice.@protovibes·
Good day today. More tomorrow.
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really nice.@protovibes·
5.Multi-agent Pattern - Multiple specialized agents (e.g., PM agent, DevOps agent, SDE agent) work together. - Tasks are delegated between agents, allowing for collaborative problem-solving and response generation.
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really nice.@protovibes·
4. Planning Pattern - The LLM (or a planner) creates a task plan based on the user query. - Tasks are executed sequentially, often by a ReAct agent, until a final result is produced.
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