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How do you give an agent the same visibility a human developer has, without giving it full control? Alan Pope, Senior Developer Advocate at Tessl, explains how Model Context Protocols (MCPs) give AI agents structured access to dev environments, enabling tools like Claude Code and TypingMind to read, build, and execute safely under human oversight. On the docket: • how MCPs enable hybrid collaboration, letting agents take controlled actions inside local environments while surfacing every change for review • the era of “vibe coding” is fading, with developers moving towards intentional, spec-driven prompting for precise results • outdated or abandoned MCPs are turning into hidden liabilities • how developers are uploading personal knowledge bases to let AI generate content that matches their authentic tone and style AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development. Register now to AI Native DevCon - https://ainativedev.io/devcon Connect with us here: 1. Alan Pope- / alan-pope-uk 2. Simon Maple- / simonmaple 3. Tessl- / tesslio 00:00 Trailer 00:50 Introduction 03:48 Prompting for LLM-Generated Code 06:03 Top AI Dev Tools & Sharing Tips 09:19 Rise of Web-Based AI Coders 11:26 Using Knowledge Bases for AI Content 19:26 Terminal AI Agents & Prompting Tips 29:46 Popular MCPs & Hidden Risks 36:20 Automating Content via YouTube MCP 40:50 Securing Code with Gripe MCP 47:20 Future of Spec-Driven AI Collaboration