Writing Docs Is a Chore
summary
Claim: documentation that used to take days now generates in minutes. Pipeline reads metadata and 805,000 record datasets from MTNA’s Rich Data Services, renders Postman JSON via a Java model and velocity templates, runs the collection with a custom Newman example generator to capture real responses, and updates published docs through the Postman API. Resulting collection imports with 24 requests, saved example responses and visualizers, and the automated flow works end to end.
AI-written summary · about
chapters (7)
- 0:00Start
- 2:35Coding the Data
- 3:29Metadata
- 6:02Selecting the Data
- 6:37Querying Data
- 13:38Data Set Level Documentation
- 25:57Resources
related talks
16mAutomation API Testing
22mRevolutionizing API development: Collaborative workflows with Postman
40mThe Rocky Road to DocOps
47mDocumentation Is Fine, Don't Worry
59mTransforming your Documentation Process
22mAutomating API Documentation
44mPushing documentation (so it doesn't hurt anymore)
30mTechnical Documentation
