AE
AI Engineer
Episodes
- Agentic Evaluations at Scale, For Everybody — Nicholas Kang & Michael Aaron, Google DeepMind
- Does GenAI "belong" to data scientists? — Phil Hetzel, Braintrust
- Bounded Autonomy: Between Free Will and Determinism — Angus J. McLean, Oliver
- How Google DeepMind Runs Agents at Scale — KP Sawhney & Ian Ballantyne, Google DeepMind
- Let's Talk About FOMAT: Fear of Missing Agent Time — Michael Richman, Cmd+Ctrl
- Scaling the Next Paradigm of Heterogeneous Intelligence — Adrian Bertagnoli, Callosum
- Your Agent Is an Infinite Canvas — RL Nabors, Dressed for Space
- The Missing Primitive for Agent Swarms — Lou Bichard, Ona
- Prompt to Pipeline: Building with Google's Gen Media Stack — Paige & Guillaume, Google DeepMind
- Fast Models Need Slow Developers — Sarah Chieng, Cerebras
- Lobster Trap: OpenClaw in Containers from Local to K8s and Back — Sally Ann O'Malley, Red Hat
- Gemini Nano on device — Florina Muntenescu & Oli Gaymond, Google DeepMind
- Cooking with Agents in VS Code — Liam Hampton, Microsoft
- Scaling Agents on Kubernetes with acpx and ACP — Onur Solmaz, OpenClaw
- Your Coding Agent Should Do AI System Engineering — Ben Burtenshaw, Hugging Face
- Any-to-Any: Building Native Multimodal Agents - Patrick Löber, Google DeepMind
- Skill issue: Lessons from skilling up coding agents to use Langfuse - Marc Klingen, Clickhouse
- From 46% to 90%: Fine-Tuning Tiny LLMs for On-Device Agents — Cormac Brick, Google
- What Breaks When You Build AI Under Sovereignty Constraints - Bilge Yücel, deepset GmbH
- Don't Build Slop (4 Levels of AI Agent Maturity) - Ara Khan, Cline