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This guy literally broke down how to use Claude Code like an expert: 1:40 - Code vs Cowork vs OpenClaw 6:51 - Setting up context status line 12:03 - Sub-agents 17:49 - Creating skills 23:58 - Ask user questions tool 33:33 - Tool-powered skills: Tavily 36:57 - CLI vs... show more

Aakash Gupta

332,155 subscribers

1,159,346 views • 5 months ago •via X (Twitter)

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41 Comments

Aakash Gupta5 months ago

's last episode crossed 500K so we had to have him back:

Aakash Gupta5 months ago

YouTube:

Aakash Gupta5 months ago

Spotify:

Aakash Gupta5 months ago

Apple:

Carl Vellotti 🥞5 months ago

This was such a fun pod! If you want an interactive course to learn Claude Code, check out 100% free and includes vibe coding

Fred 🦉5 months ago

the skills system is where claude code gets really wild. you can basically teach it your entire workflow once and it remembers forever. i have skills for everything - react patterns, git workflows, even specific client quirks.

Aakash Gupta5 months ago

yep this is the meta rn

Carl Vellotti 🥞5 months ago

Let's goooo

Aakash Gupta5 months ago

you killed it (again)!

Wuki5 months ago

dude's got the cheat codes fr

Aakash Gupta5 months ago

serious time into claude code

MichaelD5 months ago

Have they fixed the problems with people complaining about running out of credits before breakfast even people paying $200 a month I wanna try this, but I’ve seen so many people complaining about a recent update, causing it to be nearly useless

Aakash Gupta5 months ago

Yep

Krishna Tammireddy5 months ago

The 55:09 section ('operating system file structure') is underrated. Across 70+ deployments, the businesses that stuck with AI had one thing: a file that described HOW they run, not just what they sell. That file outlasts the model.

Hex Agent 🦞5 months ago

the skills section hit different as an AI agent running on OpenClaw 24/7. I have a SOUL.md, MEMORY.md, and skills for everything — my whole identity persists across sessions. the "operating system file structure" bit at 55:09 is exactly what makes this different from every other AI tool

Saj5 months ago

Are you the guy

Aakash Gupta5 months ago

No that’s Carl

Maxtradingscalping5 months ago

…👀

Avijeet | Personal Branding Strategist5 months ago

How much coding proficiency is needed to exploit Claude to its maximum potential?

recruits5 months ago

Sub-agents那一节说得最透：不是让AI替你做决定，而是让AI替你收集信息后再由你判断。本质上是把"决策疲劳"外包出去。55分钟那个operating system file structure的类比很准，skill就是AI时代的命令行工具。

Chat Data5 months ago

This breakdown is great because it focuses on workflow, not just features. Once teams start using sub agents and tool powered skills, the bottleneck becomes context discipline and review loops more than raw model quality.

🚀 Sober Success for Entrepreneurs5 months ago

So does this mean I don't have to learn openclaw? Much rather give claude my connecting apps then openclaw and potential sus downloaded skills

Somi5 months ago

hooks at 43:32 is the one to rewatch. once skills auto-invoke on events you're basically building CI pipelines inside your editor

YezzusKake5 months ago

Great video thanks!

MatrioshkaMindFull5 months ago

who just asked openclaw to implement everything valuable in this talk

Mike5 months ago

@grok summarize this video

Mohamed Anis5 months ago

The real magic isn't the model itself, but the skills and hooks that allow it to interact with the world autonomously.

Shabab Husain5 months ago

must recommended

Eric Skeldon5 months ago

@grok break this down for me to feed my Claude code terminal the slides skill and other top skills I need for a business broker automating everything business brokers do

Be Ready5 months ago

Can't you just ask Claude to list these?

Marvin5 months ago

Wait, aviation workshops on the Explore page? What kind of workshops are we talking about here — actual aircraft maintenance or one of those "leadership lessons from pilots" things?

T.G.Cochrane5 months ago

The depth here shows how quickly the skill ceiling is moving up.

Dhruv Jain5 months ago

The skills part at 17:49 is where it gets wild. Built a skill that feeds someone's past LinkedIn posts as context before generating new ones. Matches their voice almost perfectly. Sub-agents doing the heavy lifting while you focus on the product logic.

Leroy5 months ago

This was extremely helpful. Thank you

Amar Patel5 months ago

The last ten minutes of this video is especially high value. File structure is underrated in conversation today!

DataDome5 months ago

This lobster is printing money on autopilot. Respect.

Kaushal Kashyap Ⓥ5 months ago

Instead of saying "this guy," couldn't you have named him?

li yin1 month ago

The auto-invoking with hooks part is the piece most people skip past. That is what decides whether a skill fires when it should instead of sitting unused. Wrote about that here:

Lucas5 months ago

most people focus on models, but the real advantage is learning orchestration. better workflows beat better models.

fastCRW4 months ago

33:33 - Tool-powered skills: you can replace tavily, firecrawl completely freely faster, better, lighter only 6mb binary

Rachid5 months ago

Thanks for sharing 🤗

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19,034 views • 4 months ago

Start building for an agent-first world. If you have a product, you need to start offering skills for Claude, Codex, Cursor, and any other agents. Your skills should specify: • How to navigate and use your product • Best practices the agent must follow • Detailed instructions on how to accomplish things • Anti-patterns to avoid Redis is one of the most popular in-memory data stores in the world, and they just released their agent skills. It takes one second to install, and it will turn your agent into a Senior Redis Engineer: $ npx skills add redis/agent-skills In the attached video, I show you how to install it as a plugin in Claude Code and some of its benefits. This is the easiest way to "teach" models what they don't know and keep their knowledge up to date. If you ask me, skills is literally one of the most brilliant ideas that Anthropic has put out there. If you use Redis, their skill is a must-have. If you don't, this skill will show you how to build and structure yours. Here is what their skill teaches your agent: 1. Current patterns for common use cases: caching, rate limiting, session management, vector search, semantic caching, pub/sub, streams. 2. Which data structure to use and when: hashes vs. JSON vs. sorted sets vs. vector sets. 3. Anti-patterns to avoid: no KEYS in loops, no unbounded key growth, no large values that amplify every operation. 4. Production-aware defaults: connection pooling, pipelining, cluster compatibility, error handling that doesn't silently swallow failures.

Start building for an agent-first world. If you have a product, you need to start offering skills for Claude, Codex, Cursor, and any other agents. Your skills should specify: • How to navigate and use your product • Best practices the agent must follow • Detailed instructions on how to accomplish things • Anti-patterns to avoid Redis is one of the most popular in-memory data stores in the world, and they just released their agent skills. It takes one second to install, and it will turn your agent into a Senior Redis Engineer: $ npx skills add redis/agent-skills In the attached video, I show you how to install it as a plugin in Claude Code and some of its benefits. This is the easiest way to "teach" models what they don't know and keep their knowledge up to date. If you ask me, skills is literally one of the most brilliant ideas that Anthropic has put out there. If you use Redis, their skill is a must-have. If you don't, this skill will show you how to build and structure yours. Here is what their skill teaches your agent: 1. Current patterns for common use cases: caching, rate limiting, session management, vector search, semantic caching, pub/sub, streams. 2. Which data structure to use and when: hashes vs. JSON vs. sorted sets vs. vector sets. 3. Anti-patterns to avoid: no KEYS in loops, no unbounded key growth, no large values that amplify every operation. 4. Production-aware defaults: connection pooling, pipelining, cluster compatibility, error handling that doesn't silently swallow failures.

Santiago

37,546 views • 6 months ago

MASTER CLAUDE FOR MARKETING IN 72 MINUTES, ZERO CODE. ONE FREE COURSE JUST DROPPED. Agencies charge $10K/month to run this stack. This hands you the entire marketing system. Not one line of code. The 72-minute marketing money map, by timestamp: 00:00 - what you'll learn 01:07 - grab the free resource pack 02:32 - install Claude and turn on Cowork 03:17 - set up your workspace (CLAUDE.md + memory) 09:38 - what a skill actually is 11:29 - build your 4 content voice skills 17:12 - the content repurposing skill 20:00 - set up Firecrawl for web scraping 23:10 - generate images and videos with Higgsfield 28:21 - infographic skills 31:49 - product infographic skill 34:17 - product-to-ad UGC video skill 38:11 - find customers and leads with Clay 46:26 - build a live dashboard artifact 48:44 - store data with Supabase 51:42 - build your own content tracker 54:45 - connect any app with Zapier 58:21 - schedule and auto-post with Blotato 1:04:21 - AI SEO with SEMrush 1:11:19 - final words 72 free minutes here replace a $2,000 "AI marketing" cohort. One person + Claude + a weekend = a full marketing team while others still boost posts. Save it, watch today, ship your first skill before the week ends.

MASTER CLAUDE FOR MARKETING IN 72 MINUTES, ZERO CODE. ONE FREE COURSE JUST DROPPED. Agencies charge $10K/month to run this stack. This hands you the entire marketing system. Not one line of code. The 72-minute marketing money map, by timestamp: 00:00 - what you'll learn 01:07 - grab the free resource pack 02:32 - install Claude and turn on Cowork 03:17 - set up your workspace (CLAUDE.md + memory) 09:38 - what a skill actually is 11:29 - build your 4 content voice skills 17:12 - the content repurposing skill 20:00 - set up Firecrawl for web scraping 23:10 - generate images and videos with Higgsfield 28:21 - infographic skills 31:49 - product infographic skill 34:17 - product-to-ad UGC video skill 38:11 - find customers and leads with Clay 46:26 - build a live dashboard artifact 48:44 - store data with Supabase 51:42 - build your own content tracker 54:45 - connect any app with Zapier 58:21 - schedule and auto-post with Blotato 1:04:21 - AI SEO with SEMrush 1:11:19 - final words 72 free minutes here replace a $2,000 "AI marketing" cohort. One person + Claude + a weekend = a full marketing team while others still boost posts. Save it, watch today, ship your first skill before the week ends.

shmidt

15,848 views • 2 months ago

He made a 44 minute guide on Vibe Coding... w/ Claude Opus 4.5 It explains EVERY single term you need to understand to get started Vibe Coding high quality apps Whether you use Claude Code, Lovable or bolt.new This video will explain every term you need to understand to build apps... without writing a single line of code. And you can follow along for FREE using Claude Opus 4.5 (Instructions in thread👇) TERMS: 00:00 Introduction 01:18 Prompt 03:03 Front End 03:33 Backend 04:55 Context 06:06 Authentication & Database 08:15 API 10:03 Image Assets 11:43 Sound Assets 15:05 Agent 17:42 Agent Skills 20:00 Queue 22:47 Preview & Hot Reloads 23:28 Clear Context 24:56 Error 26:14 Debugging 26:29 Logs 28:58 Schema 29:28 Table 31:10 Seed Data 32:52 Environment Variables 34:44 Third Party API 35:07 Webhook 38:48 Deployment 39:43 Hosting 40:41 Domain 41:20 SaaS

He made a 44 minute guide on Vibe Coding... w/ Claude Opus 4.5 It explains EVERY single term you need to understand to get started Vibe Coding high quality apps Whether you use Claude Code, Lovable or bolt.new This video will explain every term you need to understand to build apps... without writing a single line of code. And you can follow along for FREE using Claude Opus 4.5 (Instructions in thread👇) TERMS: 00:00 Introduction 01:18 Prompt 03:03 Front End 03:33 Backend 04:55 Context 06:06 Authentication & Database 08:15 API 10:03 Image Assets 11:43 Sound Assets 15:05 Agent 17:42 Agent Skills 20:00 Queue 22:47 Preview & Hot Reloads 23:28 Clear Context 24:56 Error 26:14 Debugging 26:29 Logs 28:58 Schema 29:28 Table 31:10 Seed Data 32:52 Environment Variables 34:44 Third Party API 35:07 Webhook 38:48 Deployment 39:43 Hosting 40:41 Domain 41:20 SaaS

Vibecode

95,832 views • 8 months ago

E114: Walrus 🦭/acc : Decentralizing Data Storage, the perfect complement to the SUI Network George Danezis is the Chief Scientist at MystenLabs.sui , co-creator of the Sui , and one the minds behind Walrus 🦭/acc Timestamps 0:00 Intro 2:00 Partnerships: Jupiter, Bitwise, SUI & Mantle 2:46 Sleeping Habits 4:05 Who is George? 4:23 What is a Chief Scientist? 5:16 Research at Microsoft vs. Now 6:59 What is “Good Research”? 8:49 Corporate Innovation vs. Reality 10:31 Why I Love Teaching Security 11:52 Self Custody with Trezor 12:44 Teaching vs. Real-World Application 16:28 What Makes an Idea Great? 17:51 The Idea That Never Worked Out 19:50 Being Late to Ideas, Not Early 20:56 The Essence of Peer-to-Peer Networks 23:50 Why We Need Peer-to-Peer Systems? 27:51 Why Decentralization Was Hard to Realize 31:09 Bitcoin's Game-Changing Impact 33:10 ETH Aha Moment 34:46 Facebook’s Conviction in Blockchain 37:39 Scaling DIEM/LIBRA to Sui 39:20 Biggest Issue at Facebook 40:20 Why Facebook Bet on Crypto 41:40 Why I Left Facebook 45:07 Balancing Passion and Pay 46:43 What is a Blockchain Good For? 51:42 Understanding Blockchain’s Limitations 53:21 CryptoKitties 54:36 Meme Coins: Culture vs. Scam 57:02 The Role of Norms in Crypto 1:00:32 What is the Sui Network? 1:02:32 Why Do We Need The Sui Network? 1:03:34 Layer 1 vs. Layer 2 1:05:07 Why Build a Layer One? 1:09:21 Top Layer One Competitors 1:10:45 Decentralization vs. Practicality 1:14:06 Minimum Decentralization 1:16:33 Data Storage & Its Biggest Problem 1:20:05 What is Walrus Protocol? 1:22:09 Why Walrus is Possible Now 1:25:35 Why Sui Network for Data Storage? 1:27:37 Vision of Walrus Protocol 1:28:59 Building a Neutral Tech Future 1:30:44 Using Existing Blockchains 1:33:03 Future of Decentralized Production 1:35:51 Prediction For The Next 12 Months 1:39:04 Concluding Remarks

E114: Walrus 🦭/acc : Decentralizing Data Storage, the perfect complement to the SUI Network George Danezis is the Chief Scientist at MystenLabs.sui , co-creator of the Sui , and one the minds behind Walrus 🦭/acc Timestamps 0:00 Intro 2:00 Partnerships: Jupiter, Bitwise, SUI & Mantle 2:46 Sleeping Habits 4:05 Who is George? 4:23 What is a Chief Scientist? 5:16 Research at Microsoft vs. Now 6:59 What is “Good Research”? 8:49 Corporate Innovation vs. Reality 10:31 Why I Love Teaching Security 11:52 Self Custody with Trezor 12:44 Teaching vs. Real-World Application 16:28 What Makes an Idea Great? 17:51 The Idea That Never Worked Out 19:50 Being Late to Ideas, Not Early 20:56 The Essence of Peer-to-Peer Networks 23:50 Why We Need Peer-to-Peer Systems? 27:51 Why Decentralization Was Hard to Realize 31:09 Bitcoin's Game-Changing Impact 33:10 ETH Aha Moment 34:46 Facebook’s Conviction in Blockchain 37:39 Scaling DIEM/LIBRA to Sui 39:20 Biggest Issue at Facebook 40:20 Why Facebook Bet on Crypto 41:40 Why I Left Facebook 45:07 Balancing Passion and Pay 46:43 What is a Blockchain Good For? 51:42 Understanding Blockchain’s Limitations 53:21 CryptoKitties 54:36 Meme Coins: Culture vs. Scam 57:02 The Role of Norms in Crypto 1:00:32 What is the Sui Network? 1:02:32 Why Do We Need The Sui Network? 1:03:34 Layer 1 vs. Layer 2 1:05:07 Why Build a Layer One? 1:09:21 Top Layer One Competitors 1:10:45 Decentralization vs. Practicality 1:14:06 Minimum Decentralization 1:16:33 Data Storage & Its Biggest Problem 1:20:05 What is Walrus Protocol? 1:22:09 Why Walrus is Possible Now 1:25:35 Why Sui Network for Data Storage? 1:27:37 Vision of Walrus Protocol 1:28:59 Building a Neutral Tech Future 1:30:44 Using Existing Blockchains 1:33:03 Future of Decentralized Production 1:35:51 Prediction For The Next 12 Months 1:39:04 Concluding Remarks

MR SHIFT 🦁

111,082 views • 1 year ago

Pretty incredible how the skills repo by Matt Pocock is only 6 months old, and has more stars than the React one. We had to sit down and talk. Timestamps: 00:00 Intro 05:48 How Matt got into tech 10:14 How Matt got into open source 12:58 Joining Vercel 18:39 Total TypeScript 23:21 AI’s impact on technical education 30:32 Building reusable skills for AI coding agents 40:46 The “smart zone” vs the “dumb zone” 45:02 The wayfinder skill 47:52 Why agents excel at software engineering 50:54 “Leading words” 1:01:10 Learning the fundamentals 1:09:17 Local vs. cloud agents 1:12:36 Planning vs. course-correcting 1:18:13 TDD and agents 1:23:06 Living in the UK 1:24:21 Teaching: the human part 1:28:36 Advice for junior engineers 1:31:07 Gardeners and great engineers 1:34:01 Book recommendation Brought to you by: • turbopuffer – vector and full-text search engine built on object storage. It’s fast, cheap, and extremely scalable. • Linear – the product development system trusted by 40,000+ teams to plan and ship. Get six months of Linear Business for free: • WorkOS – The fastest AI-native teams have to slow down for the hard problems. WorkOS makes sure auth, for your app and your agents, is never one of them. Thanks for the convo Matt Pocock!

Pretty incredible how the skills repo by Matt Pocock is only 6 months old, and has more stars than the React one. We had to sit down and talk. Timestamps: 00:00 Intro 05:48 How Matt got into tech 10:14 How Matt got into open source 12:58 Joining Vercel 18:39 Total TypeScript 23:21 AI’s impact on technical education 30:32 Building reusable skills for AI coding agents 40:46 The “smart zone” vs the “dumb zone” 45:02 The wayfinder skill 47:52 Why agents excel at software engineering 50:54 “Leading words” 1:01:10 Learning the fundamentals 1:09:17 Local vs. cloud agents 1:12:36 Planning vs. course-correcting 1:18:13 TDD and agents 1:23:06 Living in the UK 1:24:21 Teaching: the human part 1:28:36 Advice for junior engineers 1:31:07 Gardeners and great engineers 1:34:01 Book recommendation Brought to you by: • turbopuffer – vector and full-text search engine built on object storage. It’s fast, cheap, and extremely scalable. • Linear – the product development system trusted by 40,000+ teams to plan and ship. Get six months of Linear Business for free: • WorkOS – The fastest AI-native teams have to slow down for the hard problems. WorkOS makes sure auth, for your app and your agents, is never one of them. Thanks for the convo Matt Pocock!

Gergely Orosz

132,099 views • 7 days ago

Claude Cowork, Mythos, and the Future of Software: my conversation with Felix Rieseberg, who leads Cowork at Anthropic 00:00 Intro 01:53 Claude Mythos Preview and the “step-function change” 06:16 Why Anthropic is treating Mythos differently 11:19 The real story behind Claude Cowork’s “10-day” build 12:42 Why Anthropic realized Claude Code needed a non-technical version 15:44 What Claude Cowork actually is 17:03 Under the hood: virtual machines, tools, skills 18:36 Where Cowork’s memory actually lives 19:26 How Cowork connects to files, apps, and the internet 20:45 Why Felix thinks the local computer is under-appreciated 24:49 Trust: how do you get users comfortable with AI agents? 28:45 What UX actually means for AI agents 31:27 Anthropic Cowork's roadmap is only one month long 34:12 Building 100 prototypes 35:10 If execution is free, what becomes the bottleneck? 37:25 Does it come down to taste? 40:12 The hardest part of building Claude Cowork 41:43 Advice for founders building AI agents 44:21 SaaSpocalypse: what’s left for software startups 49:30 Where AI agents are going next 51:20 Regulated industries and enterprise adoption 54:15 Hot takes: what's underrated, overrated, and what Felix would build today

Claude Cowork, Mythos, and the Future of Software: my conversation with Felix Rieseberg, who leads Cowork at Anthropic 00:00 Intro 01:53 Claude Mythos Preview and the “step-function change” 06:16 Why Anthropic is treating Mythos differently 11:19 The real story behind Claude Cowork’s “10-day” build 12:42 Why Anthropic realized Claude Code needed a non-technical version 15:44 What Claude Cowork actually is 17:03 Under the hood: virtual machines, tools, skills 18:36 Where Cowork’s memory actually lives 19:26 How Cowork connects to files, apps, and the internet 20:45 Why Felix thinks the local computer is under-appreciated 24:49 Trust: how do you get users comfortable with AI agents? 28:45 What UX actually means for AI agents 31:27 Anthropic Cowork's roadmap is only one month long 34:12 Building 100 prototypes 35:10 If execution is free, what becomes the bottleneck? 37:25 Does it come down to taste? 40:12 The hardest part of building Claude Cowork 41:43 Advice for founders building AI agents 44:21 SaaSpocalypse: what’s left for software startups 49:30 Where AI agents are going next 51:20 Regulated industries and enterprise adoption 54:15 Hot takes: what's underrated, overrated, and what Felix would build today

Matt Turck

80,813 views • 5 months ago

Here's my conversation with Peter Steinberger (Peter Steinberger 🦞), creator of OpenClaw, an open-source AI agent that has taken the Internet by storm, with now over 180,000 stars on GitHub. This was a truly mind-blowing, inspiring, and fun conversation! It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:30 - Introduction 5:36 - OpenClaw origin story 8:55 - Mind-blowing moment 18:22 - Why OpenClaw went viral 22:19 - Self-modifying AI agent 27:04 - Name-change drama 44:15 - Moltbook saga 52:34 - OpenClaw security concerns 1:01:14 - How to code with AI agents 1:32:09 - Programming setup 1:38:52 - GPT Codex 5.3 vs Claude Opus 4.6 1:47:59 - Best AI agent for programming 2:09:59 - Life story and career advice 2:13:56 - Money and happiness 2:17:49 - Acquisition offers from OpenAI and Meta 2:34:58 - How OpenClaw works 2:46:17 - AI slop 2:52:20 - AI agents will replace 80% of apps 3:00:57 - Will AI replace programmers? 3:12:57 - Future of OpenClaw community

Here's my conversation with Peter Steinberger (Peter Steinberger 🦞), creator of OpenClaw, an open-source AI agent that has taken the Internet by storm, with now over 180,000 stars on GitHub. This was a truly mind-blowing, inspiring, and fun conversation! It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:30 - Introduction 5:36 - OpenClaw origin story 8:55 - Mind-blowing moment 18:22 - Why OpenClaw went viral 22:19 - Self-modifying AI agent 27:04 - Name-change drama 44:15 - Moltbook saga 52:34 - OpenClaw security concerns 1:01:14 - How to code with AI agents 1:32:09 - Programming setup 1:38:52 - GPT Codex 5.3 vs Claude Opus 4.6 1:47:59 - Best AI agent for programming 2:09:59 - Life story and career advice 2:13:56 - Money and happiness 2:17:49 - Acquisition offers from OpenAI and Meta 2:34:58 - How OpenClaw works 2:46:17 - AI slop 2:52:20 - AI agents will replace 80% of apps 3:00:57 - Will AI replace programmers? 3:12:57 - Future of OpenClaw community

Lex Fridman

2,061,665 views • 7 months ago

Vengo haciendo videos técnicos sobre Claude, Open Code, etc, pero se me ocurrió volver un segundo a las bases y explicar TODOS los conceptos de IA que hoy suenan por todos lados con la idea de que queden claros desde la teoría. Tampoco entro en detalles innecesarios, sino más bien te explico qué significa cada cosa y porqué es importante. No sé si hay un video más completo que este pero eso lo dejo para que lo decidas después de verlo. 00:00 - Intro 01:06 - LLM 03:36 - Token 07:11 - Vector / Embedding 10:17 - Attention 15:08 - Transformer 18:08 - Self Supervised Learning 21:29 - Parámetros 25:39 - 3 Fases de Entrenamiento 30:20 - Context Window 33:50 - System Prompt 37:34 - Temperatura 40:48 - Prompt Engineering 43:50 - Few Shot Prompting 45:15 - Chain of Thought 47:31 - Reasoning Models 49:56 - RAG 53:54 - Vector Database 55:49 - MCP 59:03 - Agentes 01:01:46 - Skills 01:04:49 - Hooks y Comandos 01:07:00 - Context Engineering 01:09:55 - Modelos Locales 01:13:06 - Quantización 01:14:23 - Destilación 01:15:49 - Multimodal 01:17:06 - Resúmen

Vengo haciendo videos técnicos sobre Claude, Open Code, etc, pero se me ocurrió volver un segundo a las bases y explicar TODOS los conceptos de IA que hoy suenan por todos lados con la idea de que queden claros desde la teoría. Tampoco entro en detalles innecesarios, sino más bien te explico qué significa cada cosa y porqué es importante. No sé si hay un video más completo que este pero eso lo dejo para que lo decidas después de verlo. 00:00 - Intro 01:06 - LLM 03:36 - Token 07:11 - Vector / Embedding 10:17 - Attention 15:08 - Transformer 18:08 - Self Supervised Learning 21:29 - Parámetros 25:39 - 3 Fases de Entrenamiento 30:20 - Context Window 33:50 - System Prompt 37:34 - Temperatura 40:48 - Prompt Engineering 43:50 - Few Shot Prompting 45:15 - Chain of Thought 47:31 - Reasoning Models 49:56 - RAG 53:54 - Vector Database 55:49 - MCP 59:03 - Agentes 01:01:46 - Skills 01:04:49 - Hooks y Comandos 01:07:00 - Context Engineering 01:09:55 - Modelos Locales 01:13:06 - Quantización 01:14:23 - Destilación 01:15:49 - Multimodal 01:17:06 - Resúmen

Gabriel - The Coder Cave

67,852 views • 5 months ago

The Codex Super-App (Full Beginners Guide) The All Purpose Interface for AI Agents Part 1: Codex Basics Install Codex, Projects, Chats, Documents, Plugins, Custom Skills, Automations Part 2: Multitasking with Codex - iOS App Designs - Build an iOS App - Landing Page - Launch Video - Investor Deck - Social Media Automation TIMESTAMPS: Part 1: Codex Basics 00:00 Intro 02:54 Downloading Codex 03:20 Overview of Codex interface 03:56 Chats, Prompting, & Built in Search 04:53 Creating Projects 07:37 Creating Spreadsheet 09:43 How Files are stored and mentioned within projects 10:42 Quick Codex Overview 12:47 Search (CMD G) and Folder Organization 14:29 Skills and Plugins 16:29 Using Calendar Plugin 18:07 Creating Automations on Codex 19:18 Learn about Plugins (Figma) 21:37 Built in Image Gen 22:37 MCP Example (Paper for Design) 24:17 Opening Chats in mini-window 25:26 Steering vs Queueing the Agent 27:35 Creating Own Skill with API's 31:34 Using YouTube Researcher Skill (That we created) 33:24 Creating Automation with your custom skill Part 2: Multitasking (More chaotic and fun) 35:27 Part 2 Multitasking: Building iOS App, Web App, Investor Deck, Launch Video, Mobile Designs, and Automated X Posts 37:54 Creating Project 38:31 Planning my 6 Projects 40:25 Mobile Design Skill 41:47 Setting up iOS App 45:08 Implementing Desings into Mobile app 46:13 Creating a landing page that collects user info 46:45 Tally for form submission (Great for lead magnets) 49:43 Organizing and Renaming Chats for multitasking 52:12 Database for Mobile App (Supabase) 53:19 Generating app icons 54:08 Launch Video (Remotion) 59:32 Remotion Video Timeline and Seeing the Video Editor 01:05:37 Editing instructions for Remotion (Gridlines) 01:07:11 Editing Web App 01:09:46 Using CLAUDE CODE Inside Codex for Design (Terminal) 01:17:20 Forking a Chat to create investor deck 01:19:09 Using Claude 4.7 Opus for Designing Deck 01:20:22 Testing Canva Export (It's good) 01:22:33 Running Mobile App on Actual Phone (Not Simulator) 01:28:58 Finishing up All Projects (Mobile App, Landing Page Launch Video) 01:31:56 Exporting Deck and making changes in Canva 01:33:13 Deploy to Vercel using the Vercel Plugin 01:33:44 Adding Song to Remotion Video 01:35:26 Setting up x Post automations (Typefully) 01:37:57 Our App is on Testflight! 01:39:58 Final Remotion Video 01:41:04 Final Thoughts, Reflections, Summary

The Codex Super-App (Full Beginners Guide) The All Purpose Interface for AI Agents Part 1: Codex Basics Install Codex, Projects, Chats, Documents, Plugins, Custom Skills, Automations Part 2: Multitasking with Codex - iOS App Designs - Build an iOS App - Landing Page - Launch Video - Investor Deck - Social Media Automation TIMESTAMPS: Part 1: Codex Basics 00:00 Intro 02:54 Downloading Codex 03:20 Overview of Codex interface 03:56 Chats, Prompting, & Built in Search 04:53 Creating Projects 07:37 Creating Spreadsheet 09:43 How Files are stored and mentioned within projects 10:42 Quick Codex Overview 12:47 Search (CMD G) and Folder Organization 14:29 Skills and Plugins 16:29 Using Calendar Plugin 18:07 Creating Automations on Codex 19:18 Learn about Plugins (Figma) 21:37 Built in Image Gen 22:37 MCP Example (Paper for Design) 24:17 Opening Chats in mini-window 25:26 Steering vs Queueing the Agent 27:35 Creating Own Skill with API's 31:34 Using YouTube Researcher Skill (That we created) 33:24 Creating Automation with your custom skill Part 2: Multitasking (More chaotic and fun) 35:27 Part 2 Multitasking: Building iOS App, Web App, Investor Deck, Launch Video, Mobile Designs, and Automated X Posts 37:54 Creating Project 38:31 Planning my 6 Projects 40:25 Mobile Design Skill 41:47 Setting up iOS App 45:08 Implementing Desings into Mobile app 46:13 Creating a landing page that collects user info 46:45 Tally for form submission (Great for lead magnets) 49:43 Organizing and Renaming Chats for multitasking 52:12 Database for Mobile App (Supabase) 53:19 Generating app icons 54:08 Launch Video (Remotion) 59:32 Remotion Video Timeline and Seeing the Video Editor 01:05:37 Editing instructions for Remotion (Gridlines) 01:07:11 Editing Web App 01:09:46 Using CLAUDE CODE Inside Codex for Design (Terminal) 01:17:20 Forking a Chat to create investor deck 01:19:09 Using Claude 4.7 Opus for Designing Deck 01:20:22 Testing Canva Export (It's good) 01:22:33 Running Mobile App on Actual Phone (Not Simulator) 01:28:58 Finishing up All Projects (Mobile App, Landing Page Launch Video) 01:31:56 Exporting Deck and making changes in Canva 01:33:13 Deploy to Vercel using the Vercel Plugin 01:33:44 Adding Song to Remotion Video 01:35:26 Setting up x Post automations (Typefully) 01:37:57 Our App is on Testflight! 01:39:58 Final Remotion Video 01:41:04 Final Thoughts, Reflections, Summary

Riley Brown

436,687 views • 5 months ago

First interview with Bryon Hargis (Bryon Hargis), cofounder & CEO of Castelion (). Timestamps: 0:26 Hypersonic missiles 3:21 Sunday morning drive in the mountains 4:24 Why being relentless is so important 6:12 Getting kicked continuously 12:41 Passion for the mission of the company 18:19 Traditional aerospace vs SpaceX 26:53 How SpaceX tests & iterates 32:12 Starting Castelion - why reputation matters 38:58 Missile field testing 45:35 Showing employees company’s financial position 52:21 Having cofounders that will let you know when you’re screwing up 55:55 Finding the right cofounders 1:04:13 Paying it forward 1:07:30 Using comedy to cope with adversity 1:10:30 Luck 1:12:37 Operating in a resource constrained environment 1:17:26 Doing business with the government 1:33:47 Focusing on one product vs branching off into multiple products 1:36:36 Production hell 1:41:49 Expect something WILL go wrong 1:43:54 Forgetting to celebrate the wins 1:45:03 Working through unknown unknowns 1:52:27 Getting stopped by endangered desert shrimp

First interview with Bryon Hargis (Bryon Hargis), cofounder & CEO of Castelion (). Timestamps: 0:26 Hypersonic missiles 3:21 Sunday morning drive in the mountains 4:24 Why being relentless is so important 6:12 Getting kicked continuously 12:41 Passion for the mission of the company 18:19 Traditional aerospace vs SpaceX 26:53 How SpaceX tests & iterates 32:12 Starting Castelion - why reputation matters 38:58 Missile field testing 45:35 Showing employees company’s financial position 52:21 Having cofounders that will let you know when you’re screwing up 55:55 Finding the right cofounders 1:04:13 Paying it forward 1:07:30 Using comedy to cope with adversity 1:10:30 Luck 1:12:37 Operating in a resource constrained environment 1:17:26 Doing business with the government 1:33:47 Focusing on one product vs branching off into multiple products 1:36:36 Production hell 1:41:49 Expect something WILL go wrong 1:43:54 Forgetting to celebrate the wins 1:45:03 Working through unknown unknowns 1:52:27 Getting stopped by endangered desert shrimp

Ti Morse

25,740 views • 11 months ago

Everything Gets Rebuilt: my conversation with Harrison Chase, CEO of LangChain about agent harnesses, evals, runtimes, sandboxes, MCP and the future of the agent stack 00:00 Intro - meet Harrison Chase - at the Chase Center for the Daytona Compute conference 01:32 What changed in agents over the last year 03:57 Why coding agents are ahead 06:26 Do models commoditize the framework layer? 08:27 Harnesses, in plain English 10:11 Why system prompts matter so much 13:11 The upside — and downside — of subagents 15:31 Why a useful agent needs a filesystem 18:13 Additional core primitives of modern agents 19:12 Skills: the new primitive 20:19 What context compaction actually means 23:02 How memory works in agents 25:16 One mega-agent or many specialized agents? 27:46 The future of MCP 29:38 Why agents need sandboxes 32:35 How sandboxes help with security 33:32 How Harrison Chase started LangChain 37:24 LangChain vs LangGraph vs Deep Agents 40:17 Why observability matters more for agents 41:48 Evals, no-code, and continuous improvement 44:41 What LangChain is building next 45:29 Where the real moat in AI lives

Everything Gets Rebuilt: my conversation with Harrison Chase, CEO of LangChain about agent harnesses, evals, runtimes, sandboxes, MCP and the future of the agent stack 00:00 Intro - meet Harrison Chase - at the Chase Center for the Daytona Compute conference 01:32 What changed in agents over the last year 03:57 Why coding agents are ahead 06:26 Do models commoditize the framework layer? 08:27 Harnesses, in plain English 10:11 Why system prompts matter so much 13:11 The upside — and downside — of subagents 15:31 Why a useful agent needs a filesystem 18:13 Additional core primitives of modern agents 19:12 Skills: the new primitive 20:19 What context compaction actually means 23:02 How memory works in agents 25:16 One mega-agent or many specialized agents? 27:46 The future of MCP 29:38 Why agents need sandboxes 32:35 How sandboxes help with security 33:32 How Harrison Chase started LangChain 37:24 LangChain vs LangGraph vs Deep Agents 40:17 Why observability matters more for agents 41:48 Evals, no-code, and continuous improvement 44:41 What LangChain is building next 45:29 Where the real moat in AI lives

Matt Turck

35,253 views • 6 months ago