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Forwarded from Esuba AI HubπŸ€–
πŸš€ WELCOME TO ESUBA_HUB πŸ”₯
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🎯 Don't just learn a skill.

Turn your skill into something valuable. πŸ’‘πŸ’°
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#Esuba_hub #Technology #AI #WebDevelopment #AppDevelopment #Cybersecurity #FreeCourses #Freelancing #TechBusiness #Collaboration
there is almost zero point to complaining about virtually anything.

you either change your perspective on the thing, you leave the thing, or you simply accept it.

complaining is usually just the least useful fourth option & high cognitive load to boot.
πŸ”₯1
Work so hard you become every teacher’s top student.

Work so hard you make a losing strategy a winning strategy.

Work so hard, the people who helped you claim your success, because it’s bigger than their own.

Violence is the answer.

@FlutterBegin
πŸ”₯4
Jackson Shuttleworth is a Group PM at Duolingo, where he leads the retention team and the powerful streak feature. The streak feature, which gamifies consecutive days of learning, has been Duolingo’s most important and innovative growth lever and a key driver of their growth to a $14 billion business with almost 600 million users. In our conversation, we dive deep into the history and lessons of this feature:
β€’ The evolution of the streak feature
β€’ Biggest insights from over 600 streak-related experiments
β€’ Biggest specific wins and misses along the way
β€’ Key principles for building effective streak mechanics
β€’ How to operate a high-velocity product team
β€’ Tips for building engaging notification systems
β€’ Much more

watch: https://www.youtube.com/watch?v=_CCwoQZH5hI
One thing you need to understand about life: Everyone has their own priorities. πŸ‘€

Your client, friends, and neighbors all have their own goals. They might encourage you to help them achieve their success, but at the end of the day, you're responsible for achieving yours. Nobody will prioritize your future over theirs.

Don't become a tool for someone else's success while forgetting your own dreams.
I'm not saying be selfish or stop helping others. Be kind, support people, and help when you can. ❀️

Just remember: Put your goals first. Don't forget yourself while trying to help everyone else. πŸš€

@hamudi_thoughts

#Thoughts
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πŸ”΄https://youtu.be/Q-DFC0AnbY4?si=1DE06EyTcfs4DORz

Dana White sits down with Steven Bartlett on The Diary of a CEO to talk about his journey, the mindset behind his success, leadership, failure, discipline, and what it really takes to build something great.
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Forwarded from Learn Flutter
πŸŽ‚ Happy Birthday Flutter πŸŽ‚

It has been 13 years that this amazing project was born and i'm really happy and proud of our community


The first commit
https://github.com/flutter/flutter/commit/00882d626a478a3ce391b736234a768b762c853a
❀3
What Is a β€œHarness” and "Agent"?

Today I’m writing about something that sounds a bit complex. A lot of experienced tech folks and junior developers have been asking me about it, and I’ve noticed that many people use these tools every day without really understanding how they work. So I put together this slightly technical post to explain it simply.

let start it :

Humans use interfaces


You don’t write code every time you want your computer to do something. You click buttons, press shortcuts, type commands.

That’s an interface: a terminal, a website, or an app.
You see the buttons, not the code underneath.

LLMs use harnesses

On its own, an LLM can only do one thing: generate text.

It can’t click. It can’t open files. It can’t run anything.

So we give it tools like:
read_file to read files
edit_file to change files
bash to run commands
search to find info online

The LLM β€œcalls” a tool by writing text in a special format, for example:
<read_file name="README.md">

But that’s still just text. Nothing happens until something reads it and runs the real code.

So what is a harness?

A harness is the system that gives an LLM:

Tools that actually do things
A text format for calling those tools
A parser that detects tool calls and runs the code
A way to send the results back to the LLM
A list of available tools and how to use them

That’s the harness.

β€œWait, isn’t Claude Code a harness?”


Kind of. Apps like Claude Code and Codex have two parts:

The interface: the terminal UI or desktop app you see
The harness: the engine underneath that runs the tools

Claude Code runs on the Anthropic Agent SDK. Codex runs on the Codex App Server.

The confusion comes from the fact that these apps bake the harness right in. But a harness is a separate piece, and the same one can power other apps too. Cursor’s harness, for example, powers other products besides Cursor.

Think of a harness like a kitchen

A kitchen has pots, pans, knives, and blenders, but no kitchen has every tool every chef needs.

Good harnesses let you bring your own tools.

Claude Code and Codex come with lots of built in tools, and you can add more with plugins like code checkers or computer control.

Neither you nor the LLM can see the tools directly. The harness is what exposes them, to the LLM and to the interface.

Where does MCP fit in?


MCP (Model Context Protocol) is a standard that lets harnesses reach external things.

A tool means β€œrun this code here.”
An MCP means β€œsend a request somewhere else.”

Want Claude to read your emails? MCP.
Want Codex to check your site analytics? MCP.

Simple analogy:
Tools are like Chrome extensions, installed and running on your machine.
MCPs are like websites. No install needed, just the URL.


In kitchen terms, MCPs are like recipes. They describe how to do something, but they aren’t the kitchen itself.

So what is an AI agent?

Here’s the simple formula:

LLM + Harness = Agent
The LLM can think but can’t act.
The harness can act but can’t think.
Together, they become an agent.

This combination is often called the agent loop, because it really is just a loop:

The LLM decides what to do, the harness runs the tool, the tool’s result goes back to the LLM, and it repeats until the task is done.

And most β€œdifferent agents” out there are really just different harness setups: different tools, instructions, and MCP servers.


Now you know more about harnesses than most people talking about AI agents.

Share this with someone who keeps saying β€œagent” without knowing what it means!
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The Full Stack AI Explained
Forwarded from AI and Machine Learning
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Forwarded from Immersive Ai
Google released Gemini 4 Carbon.

it's a big jump over Argon which they released just 2 weeks ago and better in benchmark than GPT-6 Astra and Claude Opus 5.5.

@ImmersiveAi
Forwarded from Immersive Ai
Binance got hacked. πŸ’€
😱4
If building is easier, build harder things.
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Working in tech is just realizing how dumb you were 6 months ago every 6 monthsπŸŒ€

Never stop learning Ahbabi🫑

@ahbab_labs
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