API Product Management with an AI tools & mindset
summary
Argues that AI shortens weeks of manual market research to minutes or a day and cuts heavy validation cycles that cause ~60% of launch delays, using concrete moves: build an advanced transaction filter with 10 customizable fields driven by usage analytics showing 45% of merchants use date-range and 90 days is the common pattern, generate OpenAPI specs and SDKs with GitHub Copilot, Stoplight and Postman, auto-generate regression suites in minutes, and add analytics and fraud-rule monitoring to measure adoption and error rates.
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chapters (8)
- 0:00Introduction to AI in API management
- 4:48Traditional API development process
- 9:05AI-driven API development approach
- 13:44Monitoring and analytics for APIs
- 15:51AI empowering proactive product thinking
- 17:17Reliability of AI in market research
- 19:15AI tools for test case generation
- 21:24Q&A and closing remarks
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