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.

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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.

Instead of a traditional product roadmap, give engineers ownership of a broad "problem space." This high-agency model pushes them to get "forward deployed" with customers, uncover real needs, and build solutions directly. This ensures product development is tied to actual pain points and fosters a strong sense of ownership.

A product manager's casual comment to an engineer about combining parts led to the engineer building a functional prototype overnight using existing components and a 3D printer. This tangible model quickly gained executive attention and became the basis for a formal project, bypassing typical ideation hurdles.

To create a cohesive product across multiple teams, GitHub uses a framework that forces alignment upfront. By ensuring all teams first deeply understand the problem and collectively identify solutions, the final execution is naturally integrated, preventing a disjointed experience that mirrors the org structure.

Instead of siloing roles, encourage engineers to design and designers to code. This cross-functional approach breaks down artificial barriers and helps the entire team think more holistically about the end-to-end user experience, as a real user does not see these internal divisions.

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.

To launch new products and compete with agile startups, embed a small "incubation seller" team directly within the technology organization. This model ensures tight alignment between product, engineering, and the first revenue-generating efforts, mirroring the cross-functional approach of an early-stage company.

Traditional agile development, despite its intent, still involves handoffs between research, design, and engineering which create opportunities for misinterpretation. AI tools collapse this sequential process, allowing a single person to move from idea to interactive prototype in minutes, keeping human judgment and creativity tightly coupled.

The traditional "assembly line" model of product development (PM -> Design -> Eng) fails with AI. Instead, teams must operate like a "jazz band," where roles are fluid, members "riff" off each other's work, and territorialism is a failure mode. PMs might code and designers might write specs.