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Comment “agent” for free Claude code guides AND 100+ n8n templates
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Comment “agent” for free Claude code guides AND 100+ n8n templates

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Some of these new features in Claude code are slipping through the cracks Agent teams is a new experimental feature that you can enable in your settings Im noticing that Im getting results for complex tasks much faster than plan mode which has been my goto for debugging claudecode aicoding vibecoding aitips aiagents
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Some of these new features in Claude code are slipping through the cracks Agent teams is a new experimental feature that you can enable in your settings Im noticing that Im getting results for complex tasks much faster than plan mode which has been my goto for debugging claudecode aicoding vibecoding aitips aiagents

You can now spin up an agent team in Claude code

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Software stocks are being mispriced, Anish Acharya told CNBC, calling the sector “absolutely oversold.”

#Software #Stocks #AI #CNBC
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Software stocks are being mispriced, Anish Acharya told CNBC, calling the sector “absolutely oversold.” #Software #Stocks #AI #CNBC

I think the markets are oversold software, absolutely oversold

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Here’s how to actually present a vibe coded solution in an interview
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Here’s how to actually present a vibe coded solution in an interview

Here's how to present a vibe coded project in an interview without embarrassing yourself

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How to Design Your Queues to Meet SLAs Using Queue by SLA and Little’s Law
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How to Design Your Queues to Meet SLAs Using Queue by SLA and Little’s Law

Your slow queue isn't a Redis problem, it's a math problem

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Coinbase CEO Explains “Reverse Prompting” and the Rise of the AI CEO

Jason:

“Talk to me about knowledge workers and what you're seeing with your most AI first employees.”

Brian Armstrong:

“One of the big pushes we made in the last year was we got our own internal hosted AI model that was connected to all of our data sources, right?”

“So it's like every Slack message, every Google doc, Salesforce data, Confluence, you know.”

“So now the data is all aggregated and I've started to ask it really… it's not just like prompting it, ‘Hey, can you write this kind of memo for me,’ or something.”

“I'm asking these AI agents now, ‘As CEO, what should I be aware of in the company that I might not be aware of?’ And it'll tell me, ‘Did you know that there's actually disagreement on this team about the strategy?’ And I was like, actually, I didn't know that.”

“This is like reverse prompting. So instead of telling the AI agent what you want it to do, you ask it what you should be thinking more about.”

Jason: 

“It's a mentor. It's a coach.”

Brian: 

“Yeah. Like, what could make me a better CEO? And it's like, ‘Well, I looked at how you spent your time in the last quarter and here's how you said that you wanted to spend it, but you actually spent 32% of your time on this instead of 20%.’”

“I've asked it other questions like, ‘What's the thing that I changed my mind on the most over the last year?’ Things like that.”

“It'll prompt you with information you should be thinking about instead of the other way around.”

Thanks to our partner for making this happen!:

Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the @nyse.

https://www.nyse.com
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Coinbase CEO Explains “Reverse Prompting” and the Rise of the AI CEO Jason: “Talk to me about knowledge workers and what you're seeing with your most AI first employees.” Brian Armstrong: “One of the big pushes we made in the last year was we got our own internal hosted AI model that was connected to all of our data sources, right?” “So it's like every Slack message, every Google doc, Salesforce data, Confluence, you know.” “So now the data is all aggregated and I've started to ask it really… it's not just like prompting it, ‘Hey, can you write this kind of memo for me,’ or something.” “I'm asking these AI agents now, ‘As CEO, what should I be aware of in the company that I might not be aware of?’ And it'll tell me, ‘Did you know that there's actually disagreement on this team about the strategy?’ And I was like, actually, I didn't know that.” “This is like reverse prompting. So instead of telling the AI agent what you want it to do, you ask it what you should be thinking more about.” Jason: “It's a mentor. It's a coach.” Brian: “Yeah. Like, what could make me a better CEO? And it's like, ‘Well, I looked at how you spent your time in the last quarter and here's how you said that you wanted to spend it, but you actually spent 32% of your time on this instead of 20%.’” “I've asked it other questions like, ‘What's the thing that I changed my mind on the most over the last year?’ Things like that.” “It'll prompt you with information you should be thinking about instead of the other way around.” Thanks to our partner for making this happen!: Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the @nyse. https://www.nyse.com

Talk to me about knowledge workers and what you're seeing with your most AI-first employees

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Sukh Sroay - STEP 1: Select Your Local “Brain” (Ollama)  First you need a local en...
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Sukh Sroay - STEP 1: Select Your Local “Brain” (Ollama) First you need a local en...

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AI Agents That Run a Company: How I Built Them From Scratch

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Design Tips for User Interfaces: Insights to Enhance Meaningfulness
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Design Tips for User Interfaces: Insights to Enhance Meaningfulness

numbers to your UI I'm going to share why instead of adding numbers you should focus on insights...

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Follow @itsfinancialeducator for more educational content daily.
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Follow @itsfinancialeducator for more educational content daily.

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A startup is a young company founded by entrepreneurs to develop a unique, innovative product or service, aiming for rapid growth and scalability, often with high risk and initial losses. These businesses frequently rely on external funding (venture capital) and aim to disrupt existing markets or create new ones.
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A startup is a young company founded by entrepreneurs to develop a unique, innovative product or service, aiming for rapid growth and scalability, often with high risk and initial losses. These businesses frequently rely on external funding (venture capital) and aim to disrupt existing markets or create new ones.

It looks like a small, incandescent bulb, designed to indicate something out of the ordinary,...

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How it feels starting on yet another idea this week 🤣🤷🏼‍♂️
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How it feels starting on yet another idea this week 🤣🤷🏼‍♂️

If I abandon this project, I would be a man without dreams, and I don't want to live like that

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Instagram Reel: Boy Moms Community Post by romanticizethechaos
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Instagram Reel: Boy Moms Community Post by romanticizethechaos

Free

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BENTO STYLE X AI PICS MOBIIIILE 😮😮
for everyone who asked
Fresh new combo ready to try
Drop a comment and I’ll send you the Figma by DM

#mobileui #uidesign #webdesign #figma #layoutdesign #designerlife #bentodesign #aiart #uxui #designinspo
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BENTO STYLE X AI PICS MOBIIIILE 😮😮 for everyone who asked Fresh new combo ready to try Drop a comment and I’ll send you the Figma by DM #mobileui #uidesign #webdesign #figma #layoutdesign #designerlife #bentodesign #aiart #uxui #designinspo

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100% Opensource.

Repo:
github. com/microsoft/agent-lightning
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100% Opensource. Repo: github. com/microsoft/agent-lightning

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100% Open Source.
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100% Open Source.

No transcript available

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Hard Work and Vision: Keep Moving Forward Despite Doubts
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Hard Work and Vision: Keep Moving Forward Despite Doubts

Before you win, everyone will ask you, why are you working so hard

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Every experienced programmer hits this phase - the moment you see a $60/month tool and think, "I can just build that myself."

But here's the trap: you'll spend weeks coding, debugging, maintaining... and end up wasting thousands of dollars' worth of your time - all to "save" $60.

The Primeagen calls it the programmer's problem forgetting to discount convenience.

Sometimes, it's smarter to buy time instead of rebuilding wheels.

Be honest - have you ever fallen into this trap before?

Follow @realbigbrainai to stay up to date with the latest Al news.
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Every experienced programmer hits this phase - the moment you see a $60/month tool and think, "I can just build that myself." But here's the trap: you'll spend weeks coding, debugging, maintaining... and end up wasting thousands of dollars' worth of your time - all to "save" $60. The Primeagen calls it the programmer's problem forgetting to discount convenience. Sometimes, it's smarter to buy time instead of rebuilding wheels. Be honest - have you ever fallen into this trap before? Follow @realbigbrainai to stay up to date with the latest Al news.

This is what I call the programmers problem, which is that every programmer that gets to a...

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Google just quietly changed how documents turn into data 🔥

For years, extracting structured information from long documents meant fragile regex rules, expensive enterprise APIs, or hours of manual work.
LangExtract flips that entire workflow.

It’s an open-source library that uses modern AI models to turn unstructured text into structured, verifiable data using only simple instructions and a few examples.
No fine-tuning.
No complex pipelines.
No enterprise pricing.

What makes LangExtract powerful is not just extraction, but trust:
• Every entity links back to its exact source location
• Outputs follow clean, consistent structured schemas
• Long 100+ page documents are handled with high recall
• Interactive HTML lets you verify results instantly
• Works with Gemini, local models, and offline setups
And it’s flexible across real-world domains:
• Clinical and healthcare notes
• Legal and compliance documents
• Financial and research reports
• Any large unstructured text source
This is a major shift.

Document extraction is moving from
manual + expensive → automated + open-source.
And when Google releases tools like this publicly,
entire software categories tend to change fast.

Save this post to stay ahead.
Comment “google” to get the official LangExtract link in your DM 📩

Follow for more real AI tools reshaping how work gets done.

#google #opensource #computerscience #softwareengineering #developers {langextract, google ai, open source ai, document extraction, structured data, information extraction, llm tools, ai automation, ai tools, gemini ai, developer tools, ai productivity, data processing, machine learning, artificial intelligence, ai workflows, healthcare ai, legal tech, financial ai, ai model}
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Google just quietly changed how documents turn into data 🔥 For years, extracting structured information from long documents meant fragile regex rules, expensive enterprise APIs, or hours of manual work. LangExtract flips that entire workflow. It’s an open-source library that uses modern AI models to turn unstructured text into structured, verifiable data using only simple instructions and a few examples. No fine-tuning. No complex pipelines. No enterprise pricing. What makes LangExtract powerful is not just extraction, but trust: • Every entity links back to its exact source location • Outputs follow clean, consistent structured schemas • Long 100+ page documents are handled with high recall • Interactive HTML lets you verify results instantly • Works with Gemini, local models, and offline setups And it’s flexible across real-world domains: • Clinical and healthcare notes • Legal and compliance documents • Financial and research reports • Any large unstructured text source This is a major shift. Document extraction is moving from manual + expensive → automated + open-source. And when Google releases tools like this publicly, entire software categories tend to change fast. Save this post to stay ahead. Comment “google” to get the official LangExtract link in your DM 📩 Follow for more real AI tools reshaping how work gets done. #google #opensource #computerscience #softwareengineering #developers {langextract, google ai, open source ai, document extraction, structured data, information extraction, llm tools, ai automation, ai tools, gemini ai, developer tools, ai productivity, data processing, machine learning, artificial intelligence, ai workflows, healthcare ai, legal tech, financial ai, ai model}

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Snowboarding Instagram Reel: Money vs Time Quote
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Snowboarding Instagram Reel: Money vs Time Quote

Obviously don't go and do that

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