The traditional, linear handoff from product (PRDs) to design to dev is too slow for AI's rapid iteration cycles. Leading companies merge these roles into smaller, senior teams where design and product deliver functional prototypes directly to engineering, collapsing the feedback loop and accelerating development.

Forget the linear waterfall or even the classic design loop. Dylan Field sees today's best product teams using a non-linear process, 'hopping' between ideation, design, prototyping, and code in any order. The key is the ability to start anywhere and move fluidly between these stages.

AI makes iterating in code as inexpensive as sketching in design tools. This allows teams to skip low-fidelity wireframes and start with functional prototypes, blowing up traditional, linear development processes and reinventing workflows daily.

Referencing the Dutch soccer strategy, Figma's design head describes a new dynamic where AI empowers individuals to cross into other domains. PMs can prototype and designers can ship code, creating a more resilient and faster team that eliminates single-person bottlenecks.

The classic, linear design process is obsolete because AI tools allow engineers to build and iterate so quickly. Designers must shift from a gatekeeping, mock-heavy process to a more fluid, collaborative role that supports rapid execution.

In an AI-driven world, product teams should operate like a busy shipyard: seemingly chaotic but underpinned by high skill and careful communication. This cross-functional pod (PM, Eng, Design, Research, Data, Marketing) collaborates constantly, breaking down traditional processes like standups.

The traditional, linear handoff from product spec to design to code is collapsing. Roles and stages are blurring, with interactive prototypes replacing static documents and the design file itself becoming the central place for the entire team to align and collaborate.

The common product development process is a sequential handoff model. A better approach is a "jazz band" model where cross-functional teams collaborate harmoniously from the start. This fosters creativity and reduces rework by including engineers in early ideation, rather than treating them as a final step.

AI development makes identifying the right use case and wrangling data the new bottlenecks, not coding. This flattens traditional hierarchies. The most effective teams are integrated 'tiger teams' where UX designers manage RAG files and developers talk to customers, valuing adaptability over rigid job descriptions.