Details
AI coding assistants have transformed development velocity, enabling teams to generate APIs in minutes. This acceleration introduces a critical quality gap: AI may write functional code, but it doesn't ensure production-grade APIs with proper documentation, testing, security validation, or governance compliance.
As AI-generated code proliferates, teams face mounting technical debt from undocumented endpoints, inconsistent contracts, bypassed quality gates, and inadequate test coverage. Without testing and governance frameworks operating at AI speed, velocity becomes a liability, compromising application integrity.
Swagger bridges the gap between AI-generated speed and production readiness. Integrating seamlessly with AI coding workflows, Swagger ensures every API meets organizational standards for design quality, automated testing, and governance compliance before deployment.
What you'll learn:
Strategies for automated validation and testing of AI-generated APIs
Live demonstrations of Swagger workflows with AI assistants
Best practices for balancing speed with security, consistency, and compliance
Presenters:
Joseph Joyce
Solutions Architect at SmartBear
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