What We Learned From Building an AI agent for 40 Million Developers

Agent Mode in Postman is an AI-native feature designed to enhance testing, documentation, discovery, and implementation within the platform by integrating an agent into its existing structure. Initially, developers anticipated challenges with model quality and prompt design, but the real difficulties arose in integrating the agent with Postman's mature product ecosystem, which has complex UX assumptions and specialized concepts. Challenges included managing tool sprawl, as workflows often required lengthy sequences of tool calls, leading to inefficiencies, tool hallucinations, and the need for context-sensitive architecture. To address these issues, Postman decoupled tools from UI constraints, enabling features like Native Git to operate in the background and consolidated structured data queries via Clickhouse to optimize tool usage. The development process highlighted the importance of context over mere tool availability, prompting the creation of dedicated context handlers and a knowledge base that dynamically adapts to user needs. As Postman continues to evolve, Agent Mode's design reflects the balance between LLM capabilities and the practicalities of a complex, user-driven product environment.

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