David Ondrej interviews Matt Pocock on his agentic engineering philosophy: harness over model, strategic vs tactical programming, the teach skill, Sand Castle sandboxes, queues over loops, and why your skills are AI's ceiling.
Zack Reneau-Wedeen (Head of Product, Sierra) reveals how the platform powering Fortune 20 customer agents actually works — from their 10-15 models per conversation turn and modular voice architecture to why multi-agent systems are usually a trap and why agentic commerce will surpass e-commerce.
Nate B Jones argues that agent maintenance — not agent building — is the defining skill of 2026. Using Vercel's sales agent as the anchor story (they improved it by deleting 80% of its tools), he lays out four durable principles about harness design, organizational drift, the frontier lab flywheel, and a five-point agent health check.
While the AI industry doubles down on transformers and autoregression, DeepMind is quietly investing in entirely different paths toward AGI — from Griffin and Titans to diffusion LLMs, world models, and Gemini Omni. Pourya Kordi maps the full strategy and the Hassabis vs LeCun debate at its center.
Addy Osmani — 14-year Chrome DevTools veteran and Google Director — open-sourced 23 markdown AI agent skills. Bitwise AI audits the repo: doubt-driven development, context engineering, source-driven development, and the cross-agent loader architecture.
Matthew Berman breaks down loop engineering — the new coding meta where you design loops with triggers and verifiable goals instead of prompting agents manually, featuring real demos in Cursor and Claude Code.
Matt Pocock introduces his /teach skill — a stateful AI skill that transforms a coding agent into a personalized tutor using Zone of Proximal Development, interactive HTML lessons, and persistent learning records across sessions.
Cole Medin breaks down harness engineering — the 2026 buzzword that actually matters. A practical walkthrough of building the wrapper around the model: global rules, skills, MCP servers, sub-agents, and the mindset that separates top agentic engineers.
CreativeDesignTools delivers a 75-minute hands-on tutorial on extracting DESIGN.md files — Google's design token spec — from any website using 3 progressive methods: screenshot prompts, JavaScript style-auditing scripts, and full automation with Claude.
Liam Hampton demonstrates advanced agent workflows in VS Code — including Git worktree-based parallel agents, each with isolated working copies and associated branches for conflict-free multi-agent development.
Nate B Jones argues that Opus 4.7 and OpenAI 5.5 represent a qualitative shift that makes traditional prompting obsolete. He introduces the AI Question Method — a framework for complex agentic knowledge work where users don't know what to ask.
Matt Pocock introduces /handoff — a skill that compresses the relevant slice of a context window into a Markdown file for passing to a fresh agent session. Enables multi-session workflows without polluting the current context.
Cole Medin unpacks Anthropic's masterclass on building agent harnesses for enterprise codebases — covering the 7-component "AI layer" (global rules, skills, MCP servers, sub-agents, hooks, LSP, plugins) and strategies for multi-million-line monorepos.
Matt Pocock reveals the successor to his viral Grill Me skill — explaining why 4 sentences that became his most influential writing needed to evolve, and what the improved workflow looks like for AI-assisted coding.
Nick Saraev's 4-hour course takes you from zero mobile development experience to App Store submission — building 3 complete production-ready apps using nothing but Claude Code and natural language prompts.
Matt Pocock argues that AI coding doesn't make good engineering practices optional — it makes them essential. After 18 months teaching developers to build with AI agents, he dismantles the specs-to-code movement and presents what actually works.
Nick Saraev delivers a 3-hour advanced course covering CLAUDE.md optimization, agent teams, auto-research workflows, browser automation, security audits, and workspace organization — distilled from running a $4M/year business on Claude Code.
Matt Pocock shares the five skills he runs daily in Claude Code — from a three-sentence planning skill to strict review processes. Each one enforces a repeatable workflow that dramatically improves AI code quality.
Dex Horthy — creator of "12 Factor Agents" and the term "context engineering" — presents a battle-tested framework for making AI coding tools work in brownfield codebases. After 8 weeks of experimentation, his three-phase approach delivers results.
