AE
AI Engineer
Episodes
- Full Walkthrough: Writing & Using Skills — Nick Nisi and Zack Proser
- The Multi-Agent Architecture That Actually Ships — Luke Alvoeiro, Factory
- MCP UI: Extending the frontier — Liad Yosef and Ido Salomon, MCP Apps
- The Small Model Infrastructure Nobody Built (So We Did) — Filip Makraduli, Superlinked
- Accelerating AI on Edge — Chintan Parikh and Weiyi Wang, Google DeepMind
- Demand-Driven Context: A Methodology for Coherent Knowledge Bases Through Agent Failure
- Training an LLM from Scratch, Locally — Angelos Perivolaropoulos, ElevenLabs
- Skill Issue: How We Used AI to Make Agents Actually Good at Supabase — Pedro Rodrigues, Supabase
- Ralph Loops: Build Dumb AI Loops That Ship — Chris Parsons, Cherrypick
- TLMs: Tiny LLMs and Agents on Edge Devices with LiteRT-LM — Cormac Brick, Google
- Mergeable by default: Building the context engine to save time and tokens — Peter Werry, Unblocked
- Context Is the New Code — Patrick Debois, Tessl
- Human-in-the-Loop Automation with n8n — Liam McGarrigle
- I Gave an AI Agent the Keys to My Life (Here's What Happened) — Radek Sienkiewicz (@velvetshark-com)
- Software Engineering Is Becoming Plan and Review — Louis Knight-Webb, Vibe Kanban
- Mastering AI Pricing — Mayank Pant, Stripe
- Agents on the Canvas in tldraw — Steve Ruiz, tldraw
- Shipping complex AI applications — Braintrust & Trainline
- Agents for Everything Else — swyx
- Building Conversational Agents — Thor Schaeff and Philipp Schmid, Google DeepMind