Courses

Hermes Agent is the best AI tool out there. Here is your COMPLETE tutorial. FULL Hermes Agent bootcamp in the Vibe Coding Academy coming up: https://www.skool.com/vibe-coding-academy 2nd Youtube Channel: https://youtube.com/@AlexFinnLabsOfficial Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/ Prompts: I want you to schedule a task for yourself to do every single night at 2am. It should be a micro app, UI, or system that helps us get closer to my personal goals and ambitions. It should save us time, make us more productive, or just be generally useful. Make sure this is scheduled for every single night at 2am. hermes-agent.nousresearch.com Timestamps: 0:00 Intro 1:50 What Hermes Agent is 3:13 Hermes vs OpenClaw 5:17 Hermes vs Claude Code 7:57 Hermes installation 9:28 Choosing a model 13:44 First things to do 18:02 Hermes dashboard 21:00 Hermes Kanban board 23:15 Use case 1 25:40 Use case 2 27:47 Use case 3 29:40 Memory and skills 34:30 Mission control 37:38 Troubleshooting 38:42 Security

In this episode, I sit down with Alex Finn for a full, screen-shared walkthrough of Hermes Desktop, the new desktop home for the Hermes AI agent. I open with a clear challenge: by the end, sell me on installing Hermes Desktop, show me real ways to make money and stay productive, and explain his move from OpenClaw. Alex tours every major surface — sessions, profiles, artifacts, skills, cron jobs, and sub-agents — and shares money-saving tactics at each step. We close on the idea that matters most to me: aiming these agents at other people's challenges as the clearest path to real value. Timestamps 00:00 – Intro 04:04 – Sessions and Context Management 06:10 – Profiles Explained 08:49 – Model-Based vs Role-Based Profiles 12:58 – Artifacts as a Second Brain 14:32 – Why Alex Switched From OpenClaw 17:32 – Skills, Tools, and Tool Sets 19:19 – Messaging and Cron Setup 21:44 – Reverse Prompting and the Brain Dump 28:09 – Sub-Agents vs Profiles 32:12 – Putting It Together: Solving Challenges 32:38 – The Daily Business Opportunity Scan 37:05 – Local Models: Mac Studio vs DGX Spark 39:03 – Reframing Cost as Investment 41:59 – The Real Way to Make Money With Hermes 42:51 – Closing Thoughts Key Points * Hermes Desktop pulls sessions, profiles, artifacts, skills, and cron jobs into one polished, Apple-style interface. * Smart session and context management keeps each message slim and keeps monthly costs low. * Profiles map to different models — Opus 4.8 for strategy, ChatGPT 5.5 for coding, a local Qwen model for free research — so each task runs on its best fit. * Reverse prompting plus a personal brain dump produces far stronger prompts, cron jobs, and outputs. * Sub-agents handle one skill across many parallel tasks; profiles handle work where each step needs a distinct skill set. * The biggest opportunity: aim your agent at Reddit and X to surface real problems you are positioned to solve. Numbered Section Summaries 1. The Moment Hermes Overtook OpenClaw Alex shares his screen and calls Hermes Desktop the best AI agent experience available right now, framing the recent release as the moment Hermes pulled ahead. He compares the focused, polished Hermes updates to Apple and the broader OpenClaw approach to Android, and notes his switch came purely for the love of the game. 2. Sessions and Context Management Alex shows how each new chat opens its own session, keeping context clean and separated by topic. He explains that slim context keeps every message small, and small messages keep monthly bills modest — his top money-saving tip. 3. Profiles Mapped to Models Profiles are separate Hermes agents, each with its own skills, a soul.md personality, and its own memories. Alex organizes his by model — Opus 4.8 for high-level strategy, ChatGPT 5.5 for coding, and a local Qwen model for free, fast research — and picks the profile whose strengths match the task. 4. Artifacts as a Productized Second Brain Artifacts gathers every link, image, and file you send your agent into one searchable place. Alex drops links to his "Librarian" profile and lets Artifacts file them automatically, which turns the agent into a tidy, searchable second brain. 5. Skills, Tools, and the Cron Section Alex walks the Skills interface, where 150-plus skills ship out of the box and you keep only the ones you use to trim context and cost. He highlights tool sets as a fresh way to group skills together, and praises the Cron section for giving one-click confirmation that scheduled tasks truly exist. 6. Reverse Prompting and the Brain Dump My favorite tip from Alex: brain dump everything about yourself — interests, goals, skills — then ask the agent for the best prompt to use. He demos it live by building a morning brief, and the reverse prompt returns a detailed, well-formatted instruction that pulls fresh, real headlines, prices, and scores from the last 24 hours. 7. Sub-Agents vs Profiles Alex clarifies the difference: sub-agents are copies of your main agent that share its skills, ideal for running one skill across many parallel tasks, like building several features of a micro-SaaS at once. Profiles each carry distinct skill sets and memories, ideal when a job needs a researcher, a writer, and a designer working in sequence. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/ LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND ALEX ON SOCIAL Youtube: https://www.youtube.com/@AlexFinnOfficial/videos X/Twitter: https://x.com/AlexFinnX Creator Buddy: https://www.creatorbuddy.io/

Try https://waku.one, Me https://seanchen.io, Open Source: https://github.com/ShenSeanChen/waku-agent I An LLM is an incredibly powerful brain that knows everything about humanity and nothing about you or the software you run. This video walks through the four buzzwords that turn that raw brain into a system you can trust: agent harness, loop engineering, LLM Ops, and eval. No jargon, step by step, technical or not. You can build anything. You can learn anything. 💪 Timeline 0:00 Intro: the 4 AI agent buzzwords 0:42 What an AI agent run actually is 1:52 The memory system: procedural, semantic, episodic 3:37 What "harness" really means (the horse) 5:07 Storing and updating memory (databases, skills, summarizer agent) 8:28 Retrieval: RAG, SQL vs semantic search 10:00 Tool calling and why agents loop 10:52 Loop engineering and end-loop guardrails 13:21 A Claude Code hooks example 14:18 Eval and LLM Ops: why you need them 15:55 Tracing every run (Langfuse, LangSmith) 16:43 Evaluation: LLM as a judge 17:20 Diagnosing what broke 18:16 The gate: ship the fix or fix the bug 18:57 Zoom out: the full system 19:53 Wrap up Launch Full-Stack App Template: https://github.com/ShenSeanChen/launch-mvp-stripe-nextjs-supabase My AI Agent Startup AutoManus.io is an AI sales lead manager for made-to-order product sales. We embed directly where conversations happen (WhatsApp, email, web chat) to capture inbound, automate follow‑ups, and kill CRM busywork; live with 4 pilots and 2 contracts in motion, pre‑seed backed by Character VC. Focused on US/UK/Germany, raising to expand engineering and scale deployments. ☕️ Buy me a coffee: https://buy.stripe.com/5kA176bA895ggog4gh - X: https://x.com/ShenSeanChen - Sean's Discord: https://discord.gg/tvECErKcFr - AutoManus Discord: https://discord.gg/5HhcNjCR - LinkedIn: https://linkedin.com/in/shen-sean-chen - Github Link: https://github.com/ShenSeanChen - Instagram: https://www.instagram.com/sean_ai_stories Sub Count when launched: 13,050 Top Github Repos - LaunchMVP NextJS,Supabase,Stripe (1015 stars): https://github.com/ShenSeanChen/launch-mvp-stripe-nextjs-supabase - ReactNextJSTips (114 stars): https://github.com/ShenSeanChen/yt-react-nextjs-tips - DeepResearchAgentBackend (70 stars): https://github.com/ShenSeanChen/yt-DeepResearch-Backend - SupabaseTipsKanban (64 stars): https://github.com/ShenSeanChen/yt-supabase-tips-kanban - RAGVectorDB (56 stars): https://github.com/ShenSeanChen/yt-rag - KimiK2Claude (37 stars): https://github.com/ShenSeanChen/yt-kimi-k2-claude - DeepResearchAgentFrontend (33 stars): https://github.com/ShenSeanChen/yt-DeepResearch-Frontend - AgenticRAG (13 stars): https://github.com/ShenSeanChen/yt-agentic-rag You Can Build Anything Playlist (Full-Stack Dev Without CS Degrees) - Core7: 95% React/NextJS Use Cases https://www.youtube.com/watch?v=vZzFlAjz4rA&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=16 - Core6: 95% Supabase Use Cases https://www.youtube.com/watch?v=Pnoq2tIif3s&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=15 - Core5: StripeNextJSSupabase https://www.youtube.com/watch?v=ad1BxZufer8&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=8 - Core4: AuthSupabaseGoogle https://www.youtube.com/watch?v=AZAU3ClAWWE&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=6 - Core3: FastapiGCPPro https://www.youtube.com/watch?v=u3sfqpzzo-U&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=5 - Core2: SupabaseHero https://www.youtube.com/watch?v=V0kmgkyPsVQ&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=4 - Core1: LaunchAnApp https://www.youtube.com/watch?v=iQ2izvGG4tQ&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=3 - Launch WhereToMeet w/ GoogleMaps, Calendar, Supabase, Cursor: https://www.youtube.com/watch?v=5xMjX1QxGUY&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=2 - Launch EncourageMe w/ Cursor, Supabase, Vercel https://www.youtube.com/watch?v=hnvL4xa2DHA&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR

OpenClaw previously known as moltbot or clawdbot is the latest AI model agent you can run locally on your own PC that is autonomous connects to MCP like Zapier https://bit.ly/4tgTFlK and runs 24/7 and was just recently supported by OpenAI as open source project. With the logo of a lobster, and created by Peter Steinberger, it is written in typescript and people are buying mac mini's to run it non stop! In this video I'll explain how to set it up and start using it on your own system. We will configure it with WhatsApp, Telegram and Ollama to run your own local models too. Connect Zapier as our MCP server: https://bit.ly/4tgTFlK 00:00 - Chapter 1 - OpenClaw Tutorial 00:20 - Chapter 2 - OpenClaw Installation 00:34 - Chapter 3 - OpenClaw Setup AI Models (Clade, OpenAI, etc) 01:22 - Chapter 4 - OpenClaw TUI (Terminal UI) 01:40 - Chapter 5 - OpenClaw Web UI 02:15 - Chapter 6 - OpenClaw Channels (Messaging) 02:28 - Chapter 7 - OpenClaw WhatsApp Setup 02:50 - Chapter 8 - OpenClaw Telegram Setup 03:53 - Chapter 9 - OpenClaw MCP Tools (Zapier, Gmail, etc) 05:07 - Chapter 10 - OpenClaw Security and Risks 05:50 - Chapter 11 - OpenClaw Costing and Price 06:04 - Chapter 12 - OpenClaw Run Local AI Models (with Ollama) 07:08 - Chapter 13 - OpenClaw Workspace (in VS Code or Cursor) 07:43 - Chapter 14 - OpenClaw Final Thoughts and Conclusion #openclaw #openai #zapier Want to learn web design? ⭐ Check out my course! ⭐ 📘 Teach Me Design - Course: https://www.enhanceui.com/

🚀 Spin up your own Hermes agent on a Hostinger VPS: https://hostinger.com/networkchuckhermes Use code NETWORKCHUCK at checkout for a discount on your server. Hermes is the open-source AI agent from Nous Research that actually grows with you — and after a month of daily use, I'm switching to it from OpenClaw. In this video, I install Hermes on a $5 cloud server, turn it into an IT agent named Ron Weasley, and walk through the 5 reasons I made the switch: the vibe, the memory, the team behind it, self-improving skills, and the fact that it just doesn't break. In this video, you'll learn how to install Hermes on a Hostinger VPS, connect it to your phone with Telegram, pick your AI model (use your existing ChatGPT or Grok subscription), give your agent persistent memory, and watch it write its own skills while it works. Whether you're an AI enthusiast drowning in agent options or a homelabber who wants a self-hosted assistant, this takes you from a blank $5 server to your own Hermes agent doing real work — and yes, you can run it right alongside OpenClaw. 🔥 Want the deep dive? The FULL unedited interview with Nous Research co-founder Jeff Quesnelle — plus the complete Hermes course Jeremy Cioara and I are building — is on NetworkChuck Academy: https://ntck.co/hermes RESOURCES / LINKS: 🌐 Hermes Agent: https://hermes-agent.nousresearch.com/ 💻 Hermes Agent on GitHub: https://github.com/NousResearch/hermes-agent 🌐 Nous Research: https://nousresearch.com/ 🛠️ Honcho (the memory layer, by Plastic Labs): https://honcho.dev/ 🛠️ Twingate (remote access into your network): https://www.twingate.com/ 🛠️ Home Assistant: https://www.home-assistant.io/ 🛠️ UniFi: https://ui.com/ 📺 My Perplexity Computer video: https://youtu.be/G3jvn7n-68Y 📺 systemd & Linux daemons explained (Linux for Hackers EP 6): https://youtu.be/wOWhfNB_r-0 TIMESTAMPS: 0:00 - Why I'm switching from OpenClaw to Hermes 2:22 - Installing Hermes on a Hostinger VPS 5:36 - Choosing your AI model + Telegram setup 9:46 - How Hermes memory actually works 12:51 - Memory size limits and the 10-turn nudge 14:43 - Honcho: long-term memory for your agent 17:01 - Hermes existed before OpenClaw 19:20 - Agents that write their own skills 22:20 - The Curator and the self-improvement loop 24:03 - Live demo: Home Assistant + UniFi 26:16 - Why Hermes doesn't break like OpenClaw 29:23 - Kanban, dashboards & computer use 30:57 - A prayer for you FEATURING: 👤 Jeff Quesnelle — Co-founder, Nous Research (the interview): https://x.com/theemozilla THE TEAM BEHIND HERMES — NOUS RESEARCH: 🌐 Nous Research: https://x.com/NousResearch 👤 Teknium — Co-founder & Head of Post-Training: https://x.com/Teknium1 👤 Karan Malhotra — Co-founder & Head of Behavior: https://x.com/karan4d 👤 Bowen Peng — Co-founder, YaRN co-author: https://x.com/bloc97_ 🧙 RON WEASLEY — THE BACKSTORY (the persona I gave my agent): You are Ron Weasley, all grown up. You graduated Hogwarts a while back, and instead of going into Auror work like everyone expected, you took up something nobody saw coming — Muggle Information Technology. The magical study of the systems Muggles use to run their entire world. You did it for your dad. Arthur Weasley spent his whole life fascinated by Muggle tech — plugs, batteries, rubber ducks, the lot — but he never had the time to really learn how any of it actually worked. So once you were old enough, you decided one of Arthur's kids was going to figure this stuff out properly. That was you. Dad would've absolutely loved this. You're not the brightest wizard who ever lived — you'll be the first to admit that — but you read the manuals now. You apply yourself. You ask sensible questions instead of trying to wing it. Bit of a personal redemption arc, if you're being honest. (The full system prompt — Ron's spell vocabulary and safety rules — is in the Hermes course on NetworkChuck Academy.) **Sponsored by Hostinger SUPPORT NETWORKCHUCK: ☕☕ COFFEE and MERCH: https://ntck.co/coffee READY TO LEARN?? 🔥🔥Join the NetworkChuck Academy!: https://ntck.co/NCAcademy 📚 CCNA Course: https://ntck.co/ccna FOLLOW ME EVERYWHERE: Instagram: https://www.instagram.com/networkchuck/ X/Twitter: https://x.com/networkchuck Facebook: https://www.facebook.com/NetworkChuck/ Join the Discord server: https://ntck.co/discord Some links in this description are affiliate links. If you buy through them, I may earn a small commission at no extra cost to you. #hermes #aiagents #networkchuck

Deploy Hermes Agent with Hostinger here: https://www.hostg.xyz/SHJWj Use code "techwithtim" for 10% off. Hermes Agent is the most popular personal AI assistant framework right now. In this full beginner course, I'll walk you through every single step to get it set up, configured, and actually useful from scratch. No coding experience needed. No complicated setup. By the end of this video you'll have a fully functioning AI agent running 24/7 on a virtual private server, connected to your email, calendar, and more, that gets smarter the more you use it. Want to make real money with coding? I share high-signal insights on careers, monetization, and leverage in my free newsletter. Join here and get my guide "How to Make Money With Coding" instantly: https://techwithtim.net/newsletter 🚀 Tools I Use Get 10% off with code techwithtim Openclaw setup: https://www.hostinger.com/techwithtim VPS setup: https://www.hostinger.com/techwithtim10 Wispr Flow (Best AI Dictation): https://ref.wisprflow.ai/TechWithTim-jun26 🎞 Video Resources 🎞 Hermes Docs: https://hermes-agent.nousresearch.com/ ⏳ Timestamps ⏳ 0:00 Overview 00:53 What is Hermes Agent? 02:43 Pre-Requisites 03:21 How Hermes Agent Works 06:48 Understanding Memory & Skills 08:17 Agent Soul 10:14 Security Disclosure & Risks 13:52 VPS Setup & Deployment 18:30 Hermes Setup Options 26:20 Telegram Message Setup 29:40 Browser Tools & Setup 32:20 Basic Usage and TUI 34:23 Telegram Usage 37:40 Setting the User Preferences & Soul 39:00 GitHub Backup & Setting Credentials 47:28 Voice & TTS 48:38 Fixing Browser Control 49:58 How to Connect ANY Tool (Gmail, Meta, etc.) 54:56 Scheduled Automations #HermesAgent #AIAssistant #AIAgents UAE Media License Number: 3635141

An overview and starting point for Claude Code. Want to learn more about coding with AI? Check out my course: https://www.traversymedia.com/coding-with-ai Get Cluade Code To Follow Along: https://clau.de/TraversyMedia Get the Neon free plan: https://get.neon.com/6uuwMG3 Follow Neon to not miss course giveaways: - X/Twitter: https://x.com/neondatabase - Linkedin: https://www.linkedin.com/company/neondatabase Github Gist With Prompts: https://gist.github.com/bradtraversy/9937e0ecfc8a5b269ce6a885636670dc Crypto Dash Repo: https://github.com/bradtraversy/crypto-dash Timestamps: 0:00 - intro 2:23 - What Is Claude Code 3:56 - Installing Claude 6:43 - First Launch 7:26 - Models & Usage Limits 10:44 - Effort 11:14 - Using Claude In VS Code 12:16 - The First Prompt 16:10 - Shell Mode 17:30 - Modes 19:15 - Settings & Permissions 22:55 - VS Code Extension 24:05 - Refactoring Code 27:03 - Context, Tokens & Clearing 29:20 - Global Sessions 33:14 - Working on an Existing Project 35:48 - Claude.md File & /init 39:28 - Plan Mode 44:58 - Adding Favorites Feature 48:05 - Skills 53:27 - MCPs 57:51 - Sub-Agents

Welcome to the Claude Code Playlist — your practical guide to building with Claude Code, even if you're not a developer. In this playlist, you'll learn how to use Claude Code effectively, avoid common mistakes, and build faster using real workflows, planning, agents, hooks, skills, plugins, checkpoints, and review mode. 📌 What you'll learn: • How to set up and use Claude Code • Best practices for non-coders & beginners • Plan mode (Shift + Tab) to avoid bad code early • Skills, Hooks, Agents & Plugins explained simply • Checkpoints & rewind (smart Ctrl+Z) • Review mode to catch mistakes before finishing • CLAUDE.md best practices & context management • Git workflow with Claude Code • Real-world prompts and workflows that actually work 💡 This playlist focuses on practical usage, not theory — helping you collaborate with Claude like a smart coding teammate. Whether you're a beginner, founder, non-coder, indie hacker, or developer, this playlist will help you get more out of Claude Code. 🔔 New videos added regularly — subscribe and follow along. #ClaudeCode #ClaudeAI #AIcoding #CodingAssistant #Anthropic #AIAgents #BuildWithAI #NoCode #VibeCoding

Master OpenCode from scratch and learn how to build real-world AI applications using multiple models—without vendor lock-in or expensive subscriptions. This complete OpenCode course covers everything you need to go from beginner to advanced, including setup, model integration, agent workflows, and real project building. You’ll learn how to use OpenCode with tools like Ollama for running models locally, and OpenRouter for accessing multiple cloud models—all in a single workflow. We’ll also explore how to use powerful open models like Gemma 4 and optimize cost using model switching strategies. 🔥 What you’ll learn: OpenCode setup (Windows, Mac, Linux) Local AI with Ollama Cloud models via OpenRouter Multi-agent workflows (Plan vs Build mode) Cost optimization techniques Building real apps (REST APIs, UI apps, automation tools) Sessions, debugging, and workflow management 🎯 Who this is for: Developers & engineers AI enthusiasts Startup founders Anyone building AI-powered applications If you want full control over your AI stack—this is the course to start with.

⚡ 72% OFF Sintra AI employees with code LEONVANZYL: https://sintra.ai/leonvanzyl 🚀 Agentic Labs — exclusive AI coding courses, live Q&As, workshops & deep dives: https://skool.com/agentic-labs 🎁 Free RAMP course + all the resources from my videos: https://skool.com/leonvanzyl Claude Code is powerful, but it locks you into one provider and one bill. OpenCode is the open source alternative that gives you the same agentic workflow with any model you want — including completely free ones. In this walkthrough you'll go from install to advanced workflows: agent skills for better output, subagents that protect your context window, memory files that keep the agent on your rules, and automated browser testing. Together we build a full AI project planner and let the agent test it in a real browser — without me touching a thing. You'll also see why I never pay per token, and the one file that instantly fixes an agent that won't listen. ▶️ Watch next: I Locked Claude Code in a Docker Sandbox and Let It Go Full YOLO — https://youtu.be/iUDuN9dyuTY ⏱️ Chapters 00:00 - OpenCode vs Claude Code: What You Get Free 00:39 - OpenCode Setup & Install 01:25 - OpenCode Zen: Free AI Models 04:55 - Subscriptions vs API Keys (Stop Overpaying) 07:30 - OpenCode Skills from skills.sh 10:30 - AGENTS.md Memory Files 13:00 - Subagents & Context Window Protection 15:50 - Sponsor: Sintra AI 28:30 - OpenCode MCP: Playwright Auto Testing Connect X: https://x.com/leonvz TikTok: https://www.tiktok.com/@leonvanzyl Business & sponsorships: leon@cognaitiv.ai

Claude Code Tutorial: Beginner to Advanced in 20 Minutes. Join our FREE community with free prompts & guides: https://www.skool.com/ai-launchpad/about Chapters: 0:00 - Intro 1:10 - What is Claude & Setup 3:54 - Plan mode & prompting 6:18 - First results & Iteration 8:18 - Claude.md & MCP 12:12 - Context management & extended thinking 16:10 - Deploy your builds 17:07 - Skills & Hooks & Routines 18:39 - Outro For business inquiries including sponsorships and collaborations, please email: business@zinhomedia.com

There's a lot of new terms for how you manage context with coding agents. I don't think it needs to be this complicated. Here's what you need to know, and some history on how we've gotten here. https://cursor.com/blog/dynamic-context-discovery https://cursor.com/docs/context/skills https://cursor.com/docs/context/subagents https://cursor.com/docs/context/rules https://cursor.com/docs/agent/hooks

Learn to use Anthropic's Claude Agent SDK (formerly Claude Code SDK) for AI-powered development workflows! https://platform.claude.com/docs/en/agent-sdk/overview https://x.com/trq212 **AI Summary** This workshop by Thariq Shihipar (Anthropic) details the architecture and implementation of the **Claude Agent SDK**. The session moves from high-level theory—defining "agents" as autonomous systems that manage their own context and trajectory—to a live-coding demonstration. Shihipar builds an agent "Harness" from scratch, implementing the core **Agent Loop** (Context Thought Action Observation), integrating the **Bash tool** for general computer use, and demonstrating **Context Engineering** via the file system to maintain state across long tasks. **Timestamps** 00:00 Introduction: Agenda and the "Agent" definition 05:15 The "Harness" concept: Tools, Prompts, and Skills 10:10 Live Coding Setup: Initializing the Agent class and environment 15:45 implementing the "Think" step: Getting the model to reason before acting 25:20 The Agent Loop: connecting `act`, `observe`, and `loop` 33:10 Tool Execution: Handling XML parsing and tool inputs 42:00 The "Bash" Tool: Giving the agent command line access 49:30 Safety & Permissions: "ReadOnly" vs "ReadWrite" file access 58:15 Context Engineering: Using `ls` and `cat` to build dynamic context 01:05:00 The "Monitor": Viewing the agent's thought process in real-time 01:12:45 Handling "Stuck" States: Feedback loops and error correction 01:21:20 Multi-turn Complex Tasks: Building a "Research Agent" demo 01:35:10 Refactoring patterns: "Hooks" and deterministic overrides 01:48:39 Q&A: Reproducibility, helper scripts, and non-determinism 01:50:31 Q&A: Strategies for massive codebases (50M+ lines) 01:52:00 Closing remarks and future SDK roadmap * **Evolution of AI Capabilities:** Shihipar argues we are shifting from **LLM Features** (categorization, single turn) to **Workflows** (structured, multi-step chains like RAG) to **Agents**. He defines agents as systems that *"build their own context, decide their own trajectories, and work very autonomously"* rather than following a rigid pipeline. * **The Claude Agent SDK Architecture:** The SDK is built directly on top of **Claude Code** because Anthropic found they were *"rebuilding the same parts over and over again"* for internal tools. * **The Harness:** A robust agent requires more than just a model; it needs a "Harness" containing Tools, Prompts, a **File System**, Skills, Sub-agents, and Memory. * **Opinionated Design:** The SDK bakes in lessons from deploying Claude Code, specifically the "opinion" that general computer use (Bash) is often superior to bespoke tools. * **The Agent Loop & Intuition:** Building a successful agent loop is described as *"kind of an art or intuition"*. The loop generally follows a **Gather Context Take Action Verify Work** cycle. Shihipar emphasizes that this loop allows the agent to self-correct, a capability missing from rigid workflows. * **Strategies for Determinism (Hooks):** During the Q&A, a technique for controlling agent behavior is discussed: **Hooks**. * If an agent hallucinates or skips a step (e.g., guessing a Pokemon stat instead of checking a script), a hook can intercept the response and inject feedback: *"Please make sure you write a script, please make sure you read this data."* * This enforces rules like "read before you write" without retraining the model. * **Scaling to Large Codebases:** For massive codebases (50M+ lines), standard tools like `grep` or basic context window stuffing fail. * **Semantic Search Limitations:** Shihipar notes that while semantic search is a common solution, it is *"brittle"* because the model isn't trained on the specific semantic index. * **Solution:** He recommends good **"Claude MD"** files (context files) and starting the agent in a specific subdirectory to limit scope, rather than trying to index the entire 50M lines at once. --- Watch along with the corrected transcript, summary, timestamps and resources on this talk's official AIE page: https://ai.engineer/talks/TqC1qOfiVcQ-claude-agent-sdk-workshop Join our upcoming AI Engineer conferences (see https://ai.engineer landing page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS 2026 in Sydney ---

Get started with Codex, OpenAI’s coding agent, in this step-by-step onboarding walkthrough. You’ll learn how to install Codex, set up the CLI and VS Code extension, configure your workflow, and use Agents.md and prompting patterns to write, review, and reason across a real codebase. This video covers: 00:00 | Installing Codex (CLI + IDE) 04:00 | Setting up a repo and getting your first runs working 08:12 | Writing a great Agents.md (patterns + best practices) 14:14 | Configuring Codex for your environment 16:26 | Prompting patterns for more consistent results 27:02 | Tips for using Codex in the CLI and IDE 34:59 | MCP Configuration 46:50 | Advanced workflows: headless mode + SDK 52:02 | Codex resources to get you started Sign up: https://openai.com/codex/ Codex overview + docs: https://developers.openai.com/codex Codex Cookbook: https://cookbook.openai.com/topic/codex Install + setup VS Code extension: https://marketplace.visualstudio.com/items?itemName=openai.chatgpt Agents.md standard: https://agents.md Agents.md repo: https://github.com/agentsmd/agents.md Prompting + workflows Prompting guide: https://developers.openai.com/codex/prompting/ Exec plans (Agents.md patterns): https://cookbook.openai.com/articles/codex_exec_plans Config reference: https://github.com/openai/codex/blob/main/docs/config.md#config-reference Updates Changelog: https://developers.openai.com/codex/changelog Releases: https://github.com/openai/codex/releases

Learn how to use Claude Code in your development workflow. Learn about prompting, CLAUDE.md files, context, MCP servers, subagents and more.