The hard part of AI coding isn’t generating code — it’s controlling quality, safety, and drift. Drawing from OpenAI’s Codex case study, Stripe’s Minions project, and real-world experience, Kaushik and Iury break down harness engineering: the five pillars for shaping an agent’s environment, and what it looks like when teams build custom harnesses from scratch.
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.
Most folks reference “AI coding” like it’s one thing. It’s really not. In this foundational episode Kaushik & Iury walk through (at least) four paradigms — from super autocomplete to agent orchestration — each with different workflows, expectations, and mental models.
What do most developers follow today? Where is the frontier? What’s coming in the future?
Listen to the episode and find out!
