Andrej Karpathy says the goal is to maximize how long an agent runs without your intervention. But there’s a false summit most teams hit first: individual speed goes up while system speed stalls, laptops roar under four parallel Gradle builds, and review queues keep growing. Kaushik and Iury trace the full arc — from local multitasking to cloud-hosted async work to fully autonomous agents that fire on repo events and send you PRs to approve.
2026
AGENTS.md is becoming the common language for AI coding tools, but keeping repo rules, personal rules, and tool-specific files in sync is still messy. In this episode, Kaushik and Iury break down the sync problem, compare their own setups, and unpack what the latest AGENTS.md research actually says.
Subagents are becoming a core primitive for serious AI-assisted development. In this episode, Kaushik and Iury disambiguate “agent” terminology, unpack plan mode vs subagents, and explain how parallel, scoped workers improve research quality without polluting the main thread.
Agent Skills look simple, but they are one of the most powerful building blocks in modern AI coding workflows. In this episode, Kaushik and Iury break down when to use skills, how progressive disclosure works, and how skills compare with commands, instructions, and MCPs.
