Boris Cherny, creator of Claude Code, has outlined a framework for emerging technology roles, proposing five core job archetypes that reflect the evolving landscape of software development in the age of artificial intelligence. In a recent public analysis, Cherny noted that traditional disciplines such as engineering, product management, and design are increasingly converging. He suggested his own team structure offers a viable model for how technical positions may be organized moving forward. The proposed framework categorizes contributors into five distinct but overlapping functions. Prototypers generate initial concepts, many of which remain experimental. Builders translate these concepts into production-ready systems. Sweepers focus on code hygiene, simplification, and performance optimization. Growers adapt and scale existing products to align with market demands, while Maintainers ensure long-term stability, security, and efficiency as applications expand. Cherny emphasized that healthy engineering teams typically employ a blend of these archetypes, with the exact ratio shifting according to a product lifecycle stage and operational scale. This structural shift aligns with broader industry observations regarding AI-driven organizational change. Figma CEO Dylan Field previously highlighted the dissolution of rigid job titles, noting a widespread transition toward generalized product development roles. Similarly, several technology companies are phasing out traditional management hierarchies in favor of hybrid titles such as player-coaches and organizational leads. Industry veterans have cautioned against rigid categorization, warning that fixed archetypes may discourage continuous skill adaptation. Cherny acknowledged this concern, confirming that role assignments are fluid and frequently evolve across projects and career stages. When questioned about artificial intelligence capabilities, Cherny clarified that Claude Code is designed to augment all five archetypes rather than replace them. He noted that the tool extends across ideation, development, optimization, and maintenance, with continued improvements expected as the platform matures. The consensus among early adopters points toward a future where technical professionals operate as versatile contributors, leveraging AI to bridge traditional functional gaps and accelerate end-to-end product delivery.