What does it take for an AI agent to turn a customer's request into a useful working system? We explore FDE-Gym, a benchmark inspired by forward-deployed engineers—the people who work with customers to clarify needs, uncover constraints, and integrate software into existing operations. Its simulated environments are adapted from real projects, giving agents a place to tackle the details of delivery.
Success is measured by improvements to the customer's business metric, with the cost of stakeholder interactions also counted. We look at why asking good questions and writing working code must connect to the right outcome. The findings highlight opportunities for improvement, while a shared benchmark and online practice environment offer a way for people and AI agents to develop their delivery skills.
Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.
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