Multi-repo API changes with the Postman AI Engineer

Postman AI Engineer is presented as a tool for managing risky multi-repository API changes by using a continuously updated Context Graph that maps API endpoints to source code, Postman collections, monitors, mock servers, workspaces, and their owning teams. Rather than relying on code search or manual coordination to identify consumers of a changed endpoint, it can trace downstream dependencies such as frontend applications, backend workers, contract tests, and scheduled monitors, classify their risk and urgency, and propose coordinated pull requests across connected Git repositories. In an example field rename from user_id to userId on GET /users/:id, the system identifies affected services and tests, updates code and versioned Postman collections, runs local tests, and includes graph-derived rationale and consumer classifications in PR descriptions. Its coverage depends on connected repositories and observable call patterns, while dynamic URLs and unconnected systems may remain undiscovered; it also does not merge changes automatically, preserving human review for potentially blocking partner or production dependencies.

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