The latest articles on DEV Community by Steve Kom (@steve_kom_2ecb998e401b97d). https://dev.to/steve_kom_2ecb998e401b97d https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3926568%2F0a2a1c19-602c-45bc-80ef-b510b53ec746.jpg https://dev.to/steve_kom_2ecb998e401b97d en Steve Kom Tue, 22 Sep 2026 08:00:28 +0000 https://dev.to/steve_kom_2ecb998e401b97d/what-makes-a-postman-alternative-truly-ai-native-28il https://dev.to/steve_kom_2ecb998e401b97d/what-makes-a-postman-alternative-truly-ai-native-28il <p>AI-native API development is becoming more than just adding an AI assistant to an API client.</p> <p>For me, an AI-native Postman alternative should connect the whole workflow:</p> <ul> <li>API design and OpenAPI</li> <li>Testing AI/LLM endpoints</li> <li>Mocking and automated tests</li> <li>Documentation</li> <li>Collaboration</li> <li>CLI and CI/CD workflows</li> </ul> <p>I’ve been looking at <strong>Apidog</strong> as one example, since it combines these parts in a single API development workflow.</p> <p>With more developers building around LLM and inference APIs, what would actually make an API tool “AI-native” rather than simply adding AI features to an existing Postman-style client?</p> ai webdev programming productivity