---
title: "AI Prototyping Is Changing How We Build Products at Uber"
description: "Uber describes how AI-assisted prototyping is changing product development by making interactive flows available within hours instead of weeks of coordination. In one example, a Merchant team customized a prototype to a specific catalog, producing immediate actionable feedback and rapid internal alignment. Across experiments, teams used Lovable, Figma Make, Claude Code, and Cursor to explore multiple concepts before PRDs and architecture decisions hardened; one PM explored six concepts in about 20 minutes. The pattern was earlier exploration, faster alignment, and clearer MVP boundaries, while PRDs and design reviews remained necessary for intent, tradeoffs, constraints, and durable decisions. Uber also opened prototyping to engineering and operational teams, while examining how prototypes should inform production without being mistaken for shippable solutions."
---

# AI Prototyping Is Changing How We Build Products at Uber

[Uber](https://yomu.fyi/company/uber) · Apr 15, 2026

**Type:** Explainer

## Summary

Uber describes how AI-assisted prototyping is changing product development by making interactive flows available within hours instead of weeks of coordination. In one example, a Merchant team customized a prototype to a specific catalog, producing immediate actionable feedback and rapid internal alignment. Across experiments, teams used Lovable, Figma Make, Claude Code, and Cursor to explore multiple concepts before PRDs and architecture decisions hardened; one PM explored six concepts in about 20 minutes. The pattern was earlier exploration, faster alignment, and clearer MVP boundaries, while PRDs and design reviews remained necessary for intent, tradeoffs, constraints, and durable decisions. Uber also opened prototyping to engineering and operational teams, while examining how prototypes should inform production without being mistaken for shippable solutions.

## Context

At Uber, product changes often involve product, engineering, operations, policy, and legal teams across regions. The post frames AI prototyping as a way to make ideas tangible earlier, reducing coordination costs and helping teams build shared understanding before decisions harden.

## Approach / What changed

Teams use AI-assisted tools such as Lovable, Figma Make, Claude Code, and Cursor to generate and iterate on interactive flows. The described workflow pairs early prototyping with PRDs and design reviews: prototypes support exploration and concrete feedback, while PRDs capture intent, tradeoffs, constraints, success metrics, and decisions before final design and production work.

## Takeaways

- Nearly 40% of submissions to Uber’s global tech hackathon incorporated a prototyping tool, using prototypes to think through ideas, explain systems, and align under time pressure.
- A product manager explored six distinct concepts for one problem in about 20 minutes, moving exploration earlier before designs, specifications, PRDs, or architecture decisions were locked in.
- Prototypes and PRDs serve different purposes: prototypes make an experience tangible, while PRDs preserve the reasoning, tradeoffs, constraints, and decisions needed for durable alignment.

## FAQ

### How did prototypes make cross-functional alignment faster?

Teams reacted to the same interactive artifact instead of translating written intent into a shared mental model. Discussions could move from understanding what an idea was to judging whether it was the right approach, with more specific and actionable feedback.

### Did AI prototyping replace PRDs or design reviews?

No. The post says prototypes strengthened PRDs and design reviews by grounding them in something concrete, while PRDs remained important for documenting intent, tradeoffs, constraints, success metrics, and decisions.

### How did Uber use prototypes to clarify execution?

Prototypes pulled questions about scope, sequencing, and the MVP earlier in the lifecycle. Teams could distinguish MVP work from post-MVP work, giving engineering clearer boundaries and fewer open questions before starting.

**Tags:** [AI](https://yomu.fyi/topic/ai), [Experimentation](https://yomu.fyi/topic/experimentation)

- Source: [Uber](https://www.uber.com/us/en/blog/ai-prototyping)
- Source URL: https://www.uber.com/us/en/blog/ai-prototyping
- Ingested by Yomu: 2026-09-14T12:02:06.436Z

[Read original post](https://www.uber.com/us/en/blog/ai-prototyping)