Arlemi Turpault: Postman's Advanced AI and Automation Techniques
summary
Postman shows an end-to-end workflow: import an OpenAPI file, spin up a mock server, generate tests with POBot that add schema, status and response-time assertions, then run them manually, on a schedule or via Postman CLI for CI/CD (Newman alternative) so failures return nonzero exit codes. Claims: 35 million users, average apps call 26–50 APIs, Antarctica usage jumps 140% (10→14). Demo response time reads 833 ms vs a 200 ms target. Free POBot tier gives ~50 calls/month.
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chapters (23)
- 0:00Welcome
- 1:08About Postman
- 2:14Postman's evolution
- 4:03API growth role
- 5:31API testing methods
- 9:03Writing tests in Postman
- 11:08Testing against OpenAPI
- 13:37AI in API testing
- 15:23Introducing PostBot
- 16:28Demo: Mock server setup
- 19:52Generating docs with PostBot
- 21:16Manual vs PostBot tests
- 23:22Collection-level automation
- 24:51Running tests manually
- 25:54Scheduling API monitoring
- 26:59CI/CD with Postman CLI
- 28:44Viewing test results
- 29:48Centralized API platform
- 30:32Visualizing API responses
- 32:20PostBot help and debugging
- 33:28Demo recap
- 34:52AI future and Postman roadmap
- 35:55Q&A
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