Elixir Mentor

• Chris McCord on Phoenix 1.8 and AI-Powered Development

  In this episode of the Elixir Mentor Podcast, I chat with Chris McCord, creator of Phoenix Framework and LiveView. We dive deep into Phoenix 1.8's groundbreaking AI features, including the revolutionary AGENTS.md file that's transforming how developers work with LLMs in their Elixir applications.Chris shares the fascinating evolution from Phoenix channels to LiveView, explaining how his early experiments with real-time Rails applications led to creating the framework that powers some of today's most ambitious web applications. We explore Phoenix.new, the browser-based development platform that lets anyone build Elixir apps without installing anything locally, and discuss how Tidewave MCP brings intelligent AI assistance directly into your development workflow.Our conversation reveals why Elixir's concurrency model and OTP primitives make it the perfect platform for building AI agents, with Chris explaining how gen servers naturally solve the complex state management and routing problems that other ecosystems struggle with. He provides valuable insights on using LLMs effectively in development, from avoiding common pitfalls to leveraging AI for code porting and debugging.The episode concludes with Chris's thoughts on open source sustainability, the importance of community culture, and practical advice for developers looking to level up their skills with AI-assisted development. This conversation offers essential perspective for anyone working with Elixir or considering how AI will shape the future of software development.Resources Mentioned:- Phoenix Framework: https://phoenixframework.org/- Metaprogramming Elixir book- Phoenix.new - Browser-based development platform- Tidewave MCP - Local AI development integrationConnect with Chris:- Website: https://chrismccord.com/- LinkedIn: https://www.linkedin.com/in/chris-mccord-98b47a37/SUPPORT ELIXIR MENTOR- Elixir Mentor: https://elixirmentor.com

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• Adam Kirk on Building AI Meeting Automation

  In this episode of the Elixir Mentor Podcast, I chat with Adam Kirk, CTO and co-founder of Jump, where they're building AI-powered meeting intelligence for financial advisors. We dive deep into scaling Elixir applications, managing LiveView at thousands of concurrent connections, and building high-performance teams in competitive markets.Adam shares his fascinating journey from PHP and Rails to Elixir, explaining how Jump pivoted from sales automation to financial advisor tools and found explosive product-market fit. We explore the technical challenges of real-time meeting processing, AI cost optimization, and the unique compliance requirements of the financial sector.Our conversation covers Jump's innovative hiring philosophy, including their distinctive approach of 30-minute coding assessments followed by paid trial weeks. Adam explains how they've successfully hired 40+ engineers, many learning Elixir on the job, while maintaining a strong culture of full-stack ownership and work-life balance.We also discuss practical aspects of scaling with LiveView, handling WebSocket reconnections gracefully, and why they chose Oban over traditional GenServer patterns in their Kubernetes environment. This episode provides valuable insights for anyone building AI-powered applications, scaling engineering teams, or navigating the challenges of startup growth.Resources Mentioned:- Jump: https://jumpapp.com/- Jump Careers: https://careers.jumpapp.com/- Adam on X: https://x.com/atomkirkSUPPORT ELIXIR MENTOR- Elixir Mentor: https://elixirmentor.com- Recruitment Services: https://elixirmentor.com/?utm_source=elixir-mentor

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• Mike Hostetler on Autonomous Agents

  In this episode of the Elixir Mentor Podcast, I sit down with Mike Hostetler, creator of Jido, a powerful framework for building autonomous AI agent systems in Elixir. We explore why Elixir's actor model and OTP make it the ideal platform for creating massive agent swarms.Mike shares his vision of "10,000 agents per human" and explains how Jido's architecture leverages Elixir's strengths to build scalable, distributed agent systems. We dive deep into the framework's core components including actions (atomic units of work), signals (messaging backbone), and how agents can spawn sub-agents in supervision trees. The conversation covers practical applications, from Discord bots to job board automation.Our discussion reveals fascinating insights about the future of software development, where traditional coding languages may need to evolve for the agent-driven world. Mike explains his design philosophy of keeping LLMs separate from the core framework, allowing for both AI-powered and traditional NPC-style agents to coexist efficiently.This episode provides valuable perspective for developers interested in building autonomous systems, understanding distributed architecture, and preparing for the next evolution in software development where agents become integral to our development workflow.**Resources Mentioned:**- Jido Framework: https://github.com/agentjido- Agent Jido: https://agentjido.xyz- Mike's Website: https://mike-hostetler.com/**Connect with Mike:**- X/Twitter: @mikehostetlerSUPPORT ELIXIR MENTOR- Elixir Mentor: https://elixirmentor.com

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• Zach Daniel on Ash and Ash AI

  In this episode of the Elixir Mentor Podcast, I sit down with Zach Daniel, the brilliant creator of Ash Framework, for a fascinating discussion about the intersection of AI and application development. We dive deep into LLM workflows, explore the revolutionary usage rules system, and get an exclusive look at Ash AI - the comprehensive toolkit that's changing how we integrate AI capabilities into Elixir applications.Zach shares his insights on effective LLM usage patterns, from vibe coding workflows to production-ready AI integrations. We explore the groundbreaking usage rules system that allows library authors to provide LLM-specific guidance, making AI assistance dramatically more effective for framework users. The conversation covers Ash AI's powerful features including automated chatbot generation, prompt-backed actions, and seamless tool integration that lets you build AI-enabled applications with minimal effort.Our discussion also touches on the challenges of scaling open source communities, the future of solo entrepreneurship in the AI era, and how tools like Deep Wiki are creating surprisingly accurate AI-generated documentation. Zach provides valuable perspective on managing large open source projects while maintaining code quality and community engagement.This episode offers essential insights for developers interested in leveraging AI tools effectively, understanding modern framework design, and building robust applications with Elixir and Ash. Whether you're exploring AI integration or looking to understand cutting-edge development workflows, this conversation provides practical wisdom and forward-thinking perspectives.Resources Mentioned:- Ash Framework: https://ash-hq.org/- Ash Framework Book: https://pragprog.com/titles/ldash/ash-framework/- Usage Rules: https://hexdocs.pm/usage_rules/- Deep Wiki: https://deepwiki.org/Connect with Zach:- LinkedIn: https://www.linkedin.com/in/zachdaniel/- Substack: https://www.zachdaniel.dev/- GitHub: https://github.com/zachdanielSUPPORT ELIXIR MENTOR- Elixir Mentor: https://elixirmentor.com

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• Greg Medland on Elixir Careers and Market Trends

  In this episode of the Elixir Mentor Podcast, I welcome back Greg Medland, a recruiter who specializes in connecting talented developers with companies seeking expertise in the Elixir ecosystem. We dive deep into the current state of the Elixir job market and explore what developers can expect in 2025.Greg shares valuable insights on how the market has evolved since the post-COVID correction, revealing encouraging signs of recovery and continued Elixir adoption. We discuss the most in-demand skills including Ash Framework experience, full-stack capabilities with React, and AI/ML integration. The conversation explores how companies like Apple, BBC, and numerous startups are successfully leveraging Elixir at scale.We tackle the elephant in the room - AI's impact on developer roles. Greg provides a balanced perspective on how AI tools are changing the hiring landscape, what employers expect regarding AI proficiency, and how developers can leverage these tools while maintaining their value. He emphasizes the importance of using AI as a productivity enhancer rather than a replacement for critical thinking.The episode concludes with practical career advice including resume tips, interview strategies, and how to stand out in a competitive market. Greg shares his unique perspective from reviewing more Elixir developer resumes than perhaps anyone else, offering actionable insights for developers at all levels.Resources Mentioned:- Elixir Remote US Jobs Channel (Elixir Slack)- I Ask.ai: https://iask.aiConnect with Greg:- LinkedIn: https://www.linkedin.com/in/gregmedlandg2/SUPPORT ELIXIR MENTOR- Elixir Mentor: https://elixirmentor.com

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