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CybersecurityAI-assisted

Postman Adds AI Agent Mode to Design, Build and Deploy APIs

Postman has introduced AI agents for its platform aimed at enhancing the design and construction of application programming interfaces (APIs). This new feature, known as Agent Mode, was announced at the POST/CON 2025 event.

SBy Sam QuinlanJun 05, 20251 min read

Postman has introduced AI agents for its platform aimed at enhancing the design and construction of application programming interfaces (APIs). This new feature, known as Agent Mode, was announced at the POST/CON 2025 event.

Agent Mode allows developers to automate comprehensive multi-step workflows using a natural language interface. These workflows can cover the design, testing, documentation, and monitoring of a single API or API collections.

The integration with other AI agents is facilitated through a model context protocol (MCP) server introduced recently. This enables seamless collaboration and functionality enhancement among diverse AI agents.

The primary objective of this development is to significantly decrease the time required to build and deploy APIs. By employing repeatable workflows managed by an AI agent, the deployment process could be reduced from weeks to just a few hours.

Postman has introduced AI agents for its platform aimed at enhancing the design and construction of application programming interfaces (APIs).
Sam Quinlan · Thehackingpost

Postman is also enabling developers to use AI agents they create for building, developing, and testing APIs. The Postman Insights tool, now in open beta, will provide real-time tracking of API usage.

Between May 2023 and April 2025, developers conducted over 7 million API requests involving AI on the Postman API Platform. The OpenAI platform accounted for 60% of this activity, while traffic on Meta Llama and Google Gemini increased by significant margins.

Currently, over 40 million developers utilize Postman tools across 500,000 organizations. The Postman API Network exposes more than 100,000 APIs, driving numerous application services.

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The integration of AI agents into API development is anticipated to enhance API documentation quality, which is crucial for troubleshooting and security. As APIs are frequently targeted in cybersecurity attacks, improved documentation could mitigate potential risks.

Organizations can determine the extent of AI agent integration in their API workflows, with the option to revert any tasks completed by an AI agent if necessary. This ensures flexibility and control over the development process.

Based on reporting by devops.com.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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