AI Product Builder? Is this realistic?

The concept of an "AI Product Builder" is gaining traction in career postings, combining the roles of a product manager and developer. The idea is to streamline the development process by having a single person manage requirements and implementation, thereby accelerating iteration and experimentation.

This role hinges on advancements in code harnesses, which focus on enhancing the reliability and focus of AI agents. Improvements in prompt and context management have been particularly notable, enabling better steering of models and optimization of context injection. Skills required for this role include technical design, accurate steering of agents, ensuring proper documentation of codebases, and fostering clean evolution hooks and patterns within existing products.

However, the success of an AI Product Builder depends heavily on the maturity of the code and development environment. In less mature settings, the person may be limited to simpler, more superficial changes. Conversely, in a more mature environment, the demand for technical design increases, which could pose a challenge for non-developers.

The demand for this role is expected to rise, but for success, organizations must align their practices with the evolving role. It's advisable to seek individuals with both product management and coding abilities, or engineers who prioritize product features. As code harnesses continue to improve, the overlap between these roles is likely to intensify.