AE
AI Engineer
Episodes
- 20 days of compute vs 7 hours: rethinking what state-of-the-art means — Bertrand Charpentier, Pruna
- What if the network was the sandbox? — Remy Guercio, Tailscale
- How to talk to statues — Joe Reeve, ElevenLabs
- Can LLMs generate Enterprise Quality Code? — Prasenjit Sarkar, Sonar
- Spec-Driven Testing for Agents With A Brain the Size of A Planet — Steven Willmott, SafeIntelligence
- How I deleted 95% of my agent skills and got better results — Nick Nisi, WorkOS
- How We Built Zeta2: Training an Edit Prediction Model in Production — Ben Kunkle, Zed
- Why (Senior) Engineers Struggle to Build AI Agents — Philipp Schmid, Google DeepMind
- Reachy Mini: the $300 open source robot you can actually hack — Andres Marafioti, Hugging Face
- Why your agents need decision traces, not just documents — Zach Blumenfeld, Neo4j
- Reverse engineering a Viking VOIP phone protocol with Claude Code — Boris Starkov, Eleven Labs
- How agent o11y differs from traditional o11y — Phil Hetzel, Braintrust
- Most Enterprise Agentic Projects Are Doomed, Here's Why — Jess Grogan-Avignon & Jack Wang, Accenture
- Context Graphs for Explainable, Decision-Aware AI Agents — Andreas Kollegger & Zaid Zaim, Neo4j
- Comprehend First, Code Later: The AI Skill I Rely On Daily — Priscila Andre de Oliveira, Sentry
- Why Rust is the Ideal Language for Vibe-Coding — Daniel Szoke, Sentry
- The maturity phases of running evals — Phil Hetzel, Braintrust
- Frontier AI at Home — Alex Cheema, EXO Labs
- What the Best Agents Share — Mardu Swanepoel, Flinn AI
- Stop babysitting your agents... — Brandon Walsenuk, Unblocked