Introducing Agent Development: How Decagon is redefining forward deployment | Decagon

This post details the evolution of Decagon's forward-deployed teams into a structured 'Agent Development' function. It highlights the shift from a 'hero' model to a 'systems design' approach for building AI agents. The core technical contribution is the reduction of custom engineering work per agent by 80% through the creation of a self-serve roadmap, enabling Agent Development Managers (ADMs) to handle build, debug, and testing in plain English, rather than requiring bespoke engineering sprints. This process aims to make agent builds more maintainable and customer-ownable, preventing them from becoming 'black boxes'.