How do you implement "Big Rocks" sprint prioritization to accelerate AI website delivery?

Question

Tyler Smith · Accepted Answer

"Big Rocks" prioritization is the practice of locking in high-impact foundational priorities before allowing secondary details to consume available capacity. In rapid AI website delivery and vibe coding, teams often succumb to "tinkering drift" - spending hours tweaking button gradients or micro-animations before core architecture and conversion flows exist.

To apply this principle in an AI Website-as-a-Service model, divide website builds into three distinct rock categories:

1. Foundational Rocks (The Architecture): Define the core schema, routing framework, edge integrations, and primary conversion path. When vibe coding with LLM copilots, generate the foundational layouts, typography tokens, and global component libraries first. Avoid prompting for edge-case styling until these structural pillars compile cleanly.

2. Operational Rocks (The Functional Flows): Integrate lead capture endpoints, dynamic content hydration, authentication, and database schemas (such as Supabase tables). In alignment with eval-driven development, execute automated unit tests verifying form submissions and routing before addressing visual polish.

3. Gravel and Sand (Micro-Aesthetics and Copy Variants): Only after structural and operational milestones pass evaluation gates should developers prompt for microcopy variations, hero section micro-interactions, or localized styling.

Structuring sprints around Big Rocks prevents prompt bloat and maintains agent context windows. By grounding the primary layout and business logic before iterating on secondary aesthetic layers, WaaS agencies reliably cut turnaround times from weeks to hours while eliminating design debt.