AI tools like Vibe Coding remove the traditional dependency on design and engineering for prototyping. Product managers without coding expertise can now build and test functional prototypes with customers in hours, drastically accelerating problem-solution fit validation before committing development resources.
Vercel's Pranati Perry explains that tools like V0 occupy a new space between static design (Figma) and development. They enable designers and PMs to create interactive prototypes that better communicate intent, supplement PRDs, and explore dynamic states without requiring full engineering resources.
The barrier to building AI products has collapsed. Aspiring builders should create a one-hour prototype to focus on the truly hard part: validating that they're solving a problem people actually want fixed. The bottleneck has shifted from technical execution to user validation.
Traditional "writing-first" cultures create communication gaps and translation errors. With modern AI tools, product managers can now build working prototypes in hours. This "show, don't tell" approach gets ideas validated faster, secures project leadership, and overcomes language and team barriers.
In AI, low prototyping costs and customer uncertainty make the traditional research-first PM model obsolete. The new approach is to build a prototype quickly, show it to customers to discover possibilities, and then iterate based on their reactions, effectively building the solution before the problem is fully defined.
At OpenAI, the development cycle is accelerated by a practice called "vibe coding." Designers and PMs build functional prototypes directly with AI tools like Codex. This visual, interactive method is often faster and more effective for communicating ideas than writing traditional product specifications.
Historically, resource-intensive prototyping (requiring designers and tools like Figma) was reserved for major features. AI tools reduce prototype creation time to minutes, allowing PMs to de-risk even minor features with user testing and solution discovery, improving the entire product's success rate.
When an engineering team is hesitant about a new feature due to unfamiliarity (e.g., mobile development), a product leader can use AI tools to build a functional prototype. This proves feasibility and shifts the conversation from a deadlock to a collaborative discussion about productionizing the code.
AI-assisted development, or "vibe coding," is re-engaging executives who coded earlier in their careers. It removes the time-consuming friction of going from idea to MVP, allowing them to quickly build personal tools and reconnect with the craft of software creation, even with demanding schedules.
The product development cycle has shifted. Instead of writing a spec, Product Managers use AI coding tools like Bolt.new to build the initial working version of a product. They then hand this functional prototype to engineers for hardening, security, and scaling, dramatically accelerating the process.
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.