Arky | AI Agent Deep Dive

What's This Podcast
About?

Arky is the AI agent deep dive. Every day we take one AI engineering topic and pull it apart in a focused technical interview - sandboxes, agent memory, RAG, evaluation, security, and cost. For each topic we explain the architecture, the trade-offs, and what you'd actually build. Recent deep dives: The Engineering of Sandbox Agents, RAG vs File-Based Memory, You Can't Grade an Agent Like a Model. What you'll hear: - Sandboxing, isolation and agent security - DNS tunneling, microVMs, prompt injection, credential modeling - How agents actually remember - RAG, file-based memory, context management - Agent evaluation and grading - why you can't judge an agent like a model - Lifecycle, state persistence, cost engineering and LLM token economics - Production: local agents vs cloud sandboxes, control planes, snapshots Who it's for: AI engineers, ML practitioners, and technical founders building and operating AI agents. Hosted by Daniel, with technical guest Maya. Full transcripts, show notes, and cited sources for every episode.