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How to make Claude Code to fix tech debt it can create Custom skill claudecode
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How to make Claude Code to fix tech debt it can create Custom skill claudecode

Add this skill to your CloudCode and run this skill after every session with CloudCode

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Banana Bread Donuts: Easy, Vegan, Gluten-Free Recipe
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Banana Bread Donuts: Easy, Vegan, Gluten-Free Recipe

Bukti video Apparently i already wrote subtitles for other videos the link in the description

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Project Invitation and Appreciation Message
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Project Invitation and Appreciation Message

ქღ ტლიი ღალიღაშული სარიისაწუი მულე რეეკიუარიმარიისაშლიული ტმგასთარარემრევარეისისარლი�

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It be like that...
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[Work funny, relatable, funny work jokes, authenticator, sidetracked, explore page, fyp]
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It be like that... . . . [Work funny, relatable, funny work jokes, authenticator, sidetracked, explore page, fyp]

Ha, ha, he, he, he, he, he, he, oh, my God

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Why are you still writing backend API’s?
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Why are you still writing backend API’s?

All you have to do is put POSTGREST in front of your database and it turns your POSTGREST...

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that new 1M context window too 😩🤌🏽

#claude #ai
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that new 1M context window too 😩🤌🏽 #claude #ai

Claude just shipped this today

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What real aiassisted coding looks like in 2026 for existing or complex codebases Tips and tricks full walkthrough is up on my yt channel where I implement a feature from scratch At most Im usually working on 1 major thing then have 23 more Claude code sessions open for minor stuff usually design or research related coding software programming ai artificialintelligence
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What real aiassisted coding looks like in 2026 for existing or complex codebases Tips and tricks full walkthrough is up on my yt channel where I implement a feature from scratch At most Im usually working on 1 major thing then have 23 more Claude code sessions open for minor stuff usually design or research related coding software programming ai artificialintelligence

Here's seven things the best AI coders do every single time

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Waste Management at the Taylor Swift Concert
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Waste Management at the Taylor Swift Concert

🎶 Music Outro 🎶

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Lockdown Mode Activation Shortcut for iPhone Settings
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Lockdown Mode Activation Shortcut for iPhone Settings

Yeah, I reportedly couldn't get into a Washington Reporter's iPhone because they had lockdown...

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Conversations
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Conversations

you better not go to sleep as soon as your eyes shut i'm gonna punch you square in the face i...

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Instagram
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Instagram

Harmony of fallen stars Echoes in the dark Within your eyes, endless skies Craving what you are...

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Unlock Claude Code locally and ditch the compliance nightmare Never let your code leave the building httpswwwyoutubecomwatchv62SS7c7BAso AI Ollama LocalAI ClaudeCode Compliance Privacy Innovation
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Unlock Claude Code locally and ditch the compliance nightmare Never let your code leave the building httpswwwyoutubecomwatchv62SS7c7BAso AI Ollama LocalAI ClaudeCode Compliance Privacy Innovation

Every time you use a cloud code, your source code, your client IP, your proprietary logic, your...

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Best way to audit your codebases vibecoding codebase
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Best way to audit your codebases vibecoding codebase

If you use Cloud Code, here is the number one way in order to do a comprehensive audit of your...

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SaaS Is NOT Dead But Its Getting A New Workspace allinpodcast saas ai future podcastseries
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SaaS Is NOT Dead But Its Getting A New Workspace allinpodcast saas ai future podcastseries

Here's where I think the greatest threat is to the SaaS companies

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Claude fast mode proves AI roi is real
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Claude fast mode proves AI roi is real

Anthropic is charging $225 per million tokens with Opus 4

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1-bit LLMs: The Engineering of Microsoft’s BitNet.cpp 📉💻
The release of BitNet.cpp by Microsoft Research marks a paradigm shift in the Software Development Life Cycle (SDLC) for AI. By moving away from high-precision floating-point math to 1-bit (Ternary) weights, we are seeing the end of the "Memory Wall" for local LLM inference.

The Mechatronics of 1-bit Inference

How does BitNet.cpp allow large models to run on a standard CPU with 10x the efficiency?

Ternary Weight Representation: BitNet uses weights restricted to {−1,0,1}. This replaces energy-intensive Floating-Point Matrix Multiplication (MatMul) with simple Integer Addition and Subtraction. This effectively slashes the computational cost per token by orders of magnitude.

CPU-Centric Acceleration: BitNet.cpp is optimized for x86 and ARM architectures. By eliminating the need for high-end GPUs, Microsoft has democratized "Local Intelligence," allowing 7B+ parameter models to run at high tokens-per-second on a standard laptop or even a mobile device.

Energy-Efficiency and Thermal Headroom: Because the system performs fewer complex floating-point operations, it generates significantly less heat. This is a game-changer for Edge AI and robotics, where thermal throttling often limits the duration of "always-on" reasoning.

Lossless Scaling: Despite the extreme quantization, Microsoft’s research shows that as BitNet models scale in size, they maintain a performance profile nearly identical to their full-precision counterparts, proving that Precision ≠ Intelligence.

The 2026 Shift: Local-First AI

We are entering the era of Deterministic Local Inference. BitNet.cpp proves that the future of AI isn't just about "more compute," but about Architectural Efficiency that respects the hardware limits of the edge.

The Engineering Question: In the race for efficient AI, which is more critical: Developing 1-bit hardware accelerators (ASICs) or Perfecting the Training Algorithms that allow these low-precision models to retain complex reasoning? 👇

⚠️ This content is shared for educational and informational purposes only. It does not contain any sponsored deals, advertising, or commercial intent. Credit to Microsoft
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1-bit LLMs: The Engineering of Microsoft’s BitNet.cpp 📉💻 The release of BitNet.cpp by Microsoft Research marks a paradigm shift in the Software Development Life Cycle (SDLC) for AI. By moving away from high-precision floating-point math to 1-bit (Ternary) weights, we are seeing the end of the "Memory Wall" for local LLM inference. The Mechatronics of 1-bit Inference How does BitNet.cpp allow large models to run on a standard CPU with 10x the efficiency? Ternary Weight Representation: BitNet uses weights restricted to {−1,0,1}. This replaces energy-intensive Floating-Point Matrix Multiplication (MatMul) with simple Integer Addition and Subtraction. This effectively slashes the computational cost per token by orders of magnitude. CPU-Centric Acceleration: BitNet.cpp is optimized for x86 and ARM architectures. By eliminating the need for high-end GPUs, Microsoft has democratized "Local Intelligence," allowing 7B+ parameter models to run at high tokens-per-second on a standard laptop or even a mobile device. Energy-Efficiency and Thermal Headroom: Because the system performs fewer complex floating-point operations, it generates significantly less heat. This is a game-changer for Edge AI and robotics, where thermal throttling often limits the duration of "always-on" reasoning. Lossless Scaling: Despite the extreme quantization, Microsoft’s research shows that as BitNet models scale in size, they maintain a performance profile nearly identical to their full-precision counterparts, proving that Precision ≠ Intelligence. The 2026 Shift: Local-First AI We are entering the era of Deterministic Local Inference. BitNet.cpp proves that the future of AI isn't just about "more compute," but about Architectural Efficiency that respects the hardware limits of the edge. The Engineering Question: In the race for efficient AI, which is more critical: Developing 1-bit hardware accelerators (ASICs) or Perfecting the Training Algorithms that allow these low-precision models to retain complex reasoning? 👇 ⚠️ This content is shared for educational and informational purposes only. It does not contain any sponsored deals, advertising, or commercial intent. Credit to Microsoft

Thanks for watching!

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Agent Swarm unlocks parallel problem-solving. Open source offers a clear shot against closed source. Is this the winning move? #OpenSource #AgentSwarm #AIInnovation #TechTrends #FutureOfAI #AICommunity
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Agent Swarm unlocks parallel problem-solving. Open source offers a clear shot against closed source. Is this the winning move? #OpenSource #AgentSwarm #AIInnovation #TechTrends #FutureOfAI #AICommunity

This week, you wake up, you go to the office and Kimi K 2

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Claude code team has Made skill called as Playground .
#artificialintelligence #coding #learnai #claude #chatgpt
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Claude code team has Made skill called as Playground . #artificialintelligence #coding #learnai #claude #chatgpt

To set it up just run plug-in marketplace update Claude plugins official and then plug-in install...

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