Most people know they need a framework for agentic coding, but what I see over and over is massive overengineering: multi-agent contraptions that take longer to set up than the product takes to build. In this video, I walk through my dead-simple greenfield workflow that I use every time I start a new project with a coding agent (Claude Code or anything else). The whole point is to build production-grade software fast without burning time on process. I break it into an “AI layer” inside the repo: a PRD (what we’re building), global rules (how we build it), reusable commands (so the workflow is repeatable), and subagents for research (so I protect main-context tokens). Then I show my Prime command, which I run at the start of every new session so the agent rehydrates a correct mental model of the codebase and what phase comes next. Finally, I introduce my PIV loop—Plan, Implement, Validate—where we plan in a structured way, delegate the coding, and then validate hard (agent checks + my manual review). The big takeaway: reduce assumptions early, treat context like a scarce resource, and evolve your system over time instead of trying to design the “perfect framework” upfront.