Build a "Code Mode" MCP Server in Elixir

Visit sintra.ai/leonvanzyl or use my promo code leonvanzyl at checkout to receive limited time offer of 72% off on all plans 🚀 Free resources: source code, prompts, workflows + peer discussion https://skool.com/leonvanzyl 🧪 Agentic Labs: AI coding courses, live Q&A, weekly builder challenges, direct access to me + a serious builder community https://skool.com/agentic-labs OpenCode is the open source coding agent that is quickly becoming a serious alternative to Claude Code. In this opencode tutorial, you will learn how to install OpenCode, connect free AI models through OpenCode Zen or premium providers like OpenAI, and master advanced features including agent skills, sub agents, MCP servers, and background agents. ⏱️ CHAPTERS: 00:00 - OpenCode intro and overview 00:39 - Installing OpenCode in seconds 01:25 - Connecting providers and OpenCode Zen 02:20 - Free AI coding models walkthrough 03:46 - Scaffolding a Next js project 04:55 - Subscriptions vs API keys 06:00 - Connecting OpenAI and GPT 5 07:30 - Installing agent skills from skills sh 10:30 - AGENTS md memory file setup 13:00 - Sub agents and context window protection 15:30 - Design system for consistent UI 15:50 - Sponsor message 18:00 - Building the AI Project Planner app 22:30 - Saving plans for future sessions 24:30 - Creating custom sub agents 28:30 - Playwright MCP server setup 30:30 - Auto testing the app with browser MCP Business & sponsorship enquiries: leon.vanzyl@gmail.com #opencode #agenticcoding

Watch us build a complete real-time polling app using ONLY AI! Andrew Stewart (@srcrip) & Daniel Bergholz (@DanielBergholz) join me as we let Claude Code + Tidewave do ALL the coding. No manual code writing allowed! We built authentication, real-time voting, dynamic forms, live updates, and a polished UI - all through AI prompts. The result? A fully functional Phoenix LiveView app with 13 commits in just 2 hours! 00:00 - Introduction and sponsor message 04:00 - Setting up the live coding challenge and polling the audience 09:00 - Introducing Claude Code and the wild card project selection 15:25 - Installing and configuring Claude Code for the first time 23:30 - Setting up Tidewave MCP for Elixir integration 32:00 - Creating the Phoenix project and initial setup 40:00 - Building polls schema and embedded options 48:00 - Implementing Phoenix authentication with gen.auth 1:05:00 - Creating live views and dynamic forms 1:20:00 - Adding real-time voting functionality with PubSub 1:27:00 - Debugging with Tidewave's powerful runtime integration 1:35:00 - Building authorization and user permissions 1:45:00 - Adding vote changing functionality and UI polish 1:55:00 - Creating a stunning homepage with Claude's design skills 2:05:00 - Setting up GitHub workflow and creating pull request 2:15:00 - Wrap-up and reflections on AI-assisted development Tools Used: Claude Code (agentic terminal AI) Tidewave MCP (Elixir runtime integration) Phoenix LiveView + Tailwind CSS Judge Our Vibe Code: Open PR: https://github.com/ElixirMentor/pulse_vote/pull/1 Connect: Andrew: @srcrip Daniel: @DanielBergholz Support Elixir Mentor: https://elixirmentor.com/?utm_source=elixir-mentor #TideWave #ClaudeCode #ElixirLang #PhoenixFramework #AIcoding #VibeCoding #LiveView #ElixirMentor

💰 Mentorship to six figure software engineer - https://calcur.tech/mentorship ⚙️ Backend Engineering Mind Map - https://calcur.tech/mindmap 💻 System Design Playlist - https://calcur.tech/system-design Timestamps: 00:00:00 - Intro 00:01:23 - Why use Elixir 00:03:48 - Installation and Setup 00:07:15 - Intro to Mix 00:09:02 - Overview of Elixir Files 00:10:52 - Running and Elixir Script 00:13:40 - Compiling Elixir 00:16:36 - Running an Elixir Application 00:23:29 - Intro to Hex 00:25:40 - Basic Types 00:26:53 - Creating a Variable 00:27:52 - Module Attributes 00:29:01 - Atoms and Strings 00:35:35 - Strings 00:38:40 - More about Hex 00:39:49 - Numbers 00:47:39 - Compound Types 00:47:53 - Dates and Times 00:50:50 - Example App - Time Until the New Year 00:56:27 - Tuples 01:01:59 - Lists and Loops 01:04:15 - Mapping 01:04:47 - Structs 01:11:46 - Building a Guessing Game - Taking User Input 01:14:00 - if Statements 01:15:07 - Random Number 01:16:26 - Docs and Arity 01:17:28 - Cases and Errors 01:19:19 - Case 01:22:23 - Lists 01:24:16 - Append and Prepend 01:25:29 - Comprehensions with Conditions 01:27:22 - Functional Programming 01:30:07 - Defining Custom Functions 01:34:41 - What’s Next? 💯 FREE Courses (100+ hours) - https://calcur.tech/free-courses 🏆 C++ Mastery Course - https://calcur.tech/cpp-mastery 🐍 Backend Python Course - https://calcur.tech/backend-python 🥇 Python Mastery Course - https://calcur.tech/python-mastery ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ ✉️ Newsletter - https://calcur.tech/newsletter 📸 Instagram - https://www.instagram.com/CalebCurry 🐦 Twitter - https://twitter.com/calebCurry 🔗 LinkedIn - https://www.linkedin.com/in/calebcurry ▶️ Subscribe - http://calcur.tech/subscribe 👨🏻‍🎓 Courses - https://www.codebreakthrough.com 🅿 Patreon - http://calcur.tech/patreon-calebcurry

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

💰 Mentorship to six figure software engineer - https://calcur.tech/mentorship ⚙️ Backend Engineering Mind Map - https://calcur.tech/mindmap 💻 System Design Playlist - https://calcur.tech/system-design Elixir Programming Introduction - https://youtu.be/-lgtb-YSUWE Timestamps: 00:00:00 - Intro 00:01:20 - What is Elixir Phoenix 00:03:38 - MVC Pattern 00:05:49 - Installation 00:08:25 - Project Structure 00:10:03 - Main files 00:11:08 - Other Folders 00:12:12 - Create a Repo 00:13:59 - Basic Application Architecture 00:16:12 - Adding a New Page with Mock Data 00:22:24 - Creating an API 00:22:49 - Working with the Database 00:31:53 - Routes 00:32:48 - Updating a Resource 00:34:45 - Delete 00:35:23 - Users and Relationships 00:36:01 - Update the Model 00:37:23 - Making the association in models 00:40:25 - Nested Data in API Calls 00:43:17 - Get a User’s Posts 00:48:21 - Conclusion 💯 FREE Courses (100+ hours) - https://calcur.tech/free-courses 🏆 C++ Mastery Course - https://calcur.tech/cpp-mastery 🐍 Backend Python Course - https://calcur.tech/backend-python 🥇 Python Mastery Course - https://calcur.tech/python-mastery ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ ✉️ Newsletter - https://calcur.tech/newsletter 📸 Instagram - https://www.instagram.com/CalebCurry 🐦 Twitter - https://twitter.com/calebCurry 🔗 LinkedIn - https://www.linkedin.com/in/calebcurry ▶️ Subscribe - http://calcur.tech/subscribe 👨🏻‍🎓 Courses - https://www.codebreakthrough.com 🅿 Patreon - http://calcur.tech/patreon-calebcurry

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/