Keep pulling the thread on Ravi Mehta.
Ravi Mehta defines context engineering as designing and building systems that provide an AI model with the right information and tools to accomplish a task.
According to Ramp's Chief Product Officer Jeff, product managers at the company often bypass prototyping and directly build features and submit pull requests.
Ravi Mehta argues that prototyping remains a valuable skill because it allows for flexible exploration of a solution space, unencumbered by the complexities of production code.
Ravi Mehta believes design tools like Figma will remain important because visual thinking is a distinct and necessary mode of exploration for visual products.
Ravi Mehta predicts that as AI automates more execution tasks, taste-based craft in areas like copy, layout, and typography will become a more important product differentiator.
In an AI-native workflow, the creation of a Product Requirements Document (PRD) may occur after prototyping to define the problem, success metrics, and strategic alignment, rather than as a linear first step.
Ravi Mehta asserts that AI prototyping tools democratize the ability to do "wasted work"—exploring many ideas that are never shipped—a practice previously only affordable for large, successful companies.
High-fidelity prototypes are necessary for user research to create a "suspension of disbelief," which encourages users to discuss what they are doing rather than theorize about what they would do.
Reforge Build is an AI prototyping tool specifically designed for teams building prototypes of existing products that have established design systems.
Anthropic's Claude supports the use of MCP (Model-Contained Program) servers, allowing it to make external API calls to enrich generated data, such as fetching album cover URLs.
Ravi Mehta used Claude's code generation capabilities to create a custom MCP server in about an hour to fetch album cover images from free services like Deezer, avoiding the need for a Spotify API account.
AI prototyping tools can infer and generate a suitable user experience, including features like search and filtering, based solely on the structure of a provided JSON data file.