AE
AI Engineer
Episodes
- Self Driving Products: Product Signals to Pull Requests — Joshua Snyder, PostHog
- GPU Cloud Deployment Without Leaving Your IDE — Audry Hsu, RunPod
- RAG is dead, right?? — Kuba Rogut, Turbopuffer
- From Transcription to Live Music: Gemini's Audio Stack — Thor Schaeff, Google DeepMind
- 2026 AI Engineer Vibe Reel
- Why More Context Makes Your Agent Dumber and What to Do About It — Nupur Sharma, Qodo
- Why Eval++ Is the Next Great Compute Primitive — Sunil Pai & Matt Carrie, Cloudflare
- Under 5 minutes to a deployed LLM endpoint — Audry Hsu, RunPod
- From MCP to Scale: Pipelines That Build Themselves — Rafael Levi, Bright Data
- Building Interactive UIs in VS Code with MCP Apps — Marlene Mhangami & Liam Hampton, GitHub
- Evals Are Broken, Use Them Anyway — Ara Khan, Cline
- Building safe Payment Infrastructure for the autonomous economy — Steve Kaliski, Stripe
- Beyond Transcription: Building Voice AI That Understands Conversations — Hervé Bredin, pyannoteAI
- AI Engineer Melbourne 2026 Keynote Livestream | Day 2
- BDD, ADR, PRD, WTF: Capturing Decisions for Humans and AI Alike — Michal Cichra, Safe Intelligence
- AI Engineer Melbourne 2026 Keynote Livestream | Day 1
- What Lies Beneath the API — Benjamin Cowen, Modal
- Task Fidelity Scaling Laws — Kobie Crawdord, Snorkel
- How Lovable self-improves every hour — Benjamin Verbeek, Lovable
- 20 days of compute vs 7 hours: rethinking what state-of-the-art means — Bertrand Charpentier, Pruna