After successfully having Claude Code autonomously implement music.exe—a Basement OS terminal app that integrates with ProTV 3.x for real-time playlist browsing and playback control—I wanted to scale that approach. Instead of picking issues randomly or by gut feeling, what if AI could act as a SCRUM master and pre-spec everything?

The Challenge

With 58 open issues across features, bugs, concepts, and epics, there was no clear way to know:

• Which issues Claude Code could handle autonomously
• Which had the highest “basement nostalgia” impact
• How to balance effort vs. payoff

I needed a system that would lay out work explicitly, so I could return and start building immediately.

The Solution

I created Basement Build Priority (BBP)—a scoring formula:

BBP = (Agentic_Feasibility × Nostalgia_Score) / Story_Points

Metric	Range	Purpose
Agentic Feasibility	0-100%	Can Claude + Unity MCP complete this?
Nostalgia Score	1-10	Does it make the basement feel alive?
Story Points	1-21	Fibonacci effort scale

Claude analyzed all 58 issues, assigned scores, and applied a “Good Agentic Build” label to 36 issues with ≥70% feasibility. The result: a prioritized backlog where high-BBP items are high-automation, high-nostalgia, low-effort wins.

Why It Matters

This shifts Claude from “assistant” to “project manager.” Instead of asking “what should I work on?”, the backlog is pre-scored and ready. If the Agentic + MCP combo continues to prove itself (like it did with music.exe), it will take over a meaningful portion of the workload—in theory I could assign Claude to work on agentic issues while I focus on the non-agentic ones. My bandwidth is now “monitoring and review” rather than code, integrate, test, verify.

The Paradigm Shift

This represents the third evolution in my AI journey:

Phase	Mindset	Limiting Factor
Before AI	”What can I build?”	Skill
With AI	”What should I build?”	Imagination
Agentic AI	”What will Claude build while I review?”	Bandwidth

Key Insight: Pre-scoring issues with AI as SCRUM master (and reviewing its accuracy) means when I dedicate time to build, I can put Claude to work on low-impact agentic issues while I tackle the highest-impact ones—and have a head start. It could in theory complete an issue 60% of the way if it has 60% agentic feasibility, and I only have to finish the last 40% instead of 100%.