Pooja Mistry from Postman will look at how AI enhances API testing and development.
Discover techniques for integrating AI into workflows and automating repetitive tasks to improve testing strategies.
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Hi there,
If you couldn’t catch the session live, don’t worry! You can watch the recording here:
Additionally, we’ve got you covered with a detailed session blog:
Here are some of the Q&As from this session:
Does API testing with Postman also factor in the security aspects of the API under test?
Pooja Mistry: Postman allows for basic security testing by enabling tests for authentication and authorization, but for comprehensive security assessments, additional tools and techniques may be required.
Could you discuss the limitations of current AI technologies in software development and testing, and how we might overcome them in the future?
Pooja Mistry: Current AI technologies may struggle with context understanding and complex scenarios. Overcoming these limitations involves combining AI with human expertise, improving algorithms, and incorporating more diverse training data.
Here are some unanswered questions that were asked in the session:
How does AI enhance the accuracy and efficiency of API testing, especially in complex environments?
Can AI generate API level test cases and integrate with CI/CD pipelines?
How do you see the role of AI evolving in the next few years in terms of supporting developers and testers?
What role do you see AI playing in the continuous integration and deployment process, particularly in automating complex decision-making tasks?
How can we get more helpful use of Portman?
What are the potential challenges in integrating AI into existing API testing workflows?
How can we maintain transparency and accountability and make impactful decisions?
How does AI analysis with Postman help in proactively identifying and addressing performance concerns during the development phase?
How is PostBot helping existing customers of Postman in speeding up the development of API testing workflows? Can you also talk a bit more about PostBot?
Will there be a version of PostBot with a local/private AI available?
Can we trust PostBot for creating new ideas for the validation of data?
I wonder why you said that coding manifests an ideal state for API developers. Given that we are in the AI era, does Postman also support a test-driven approach where AI implements specifications provided by programmers?
How well does Postman work with source control tools for a large-sized project like thousands of tests?
Are there effective API-powered tools that can design, develop, and test APIs?
Does it allow for validations of data against JSON Schemas (like OpenAPI3, etc.)?
Does Postman have a provision to use your local LLM to help with autocomplete, or is it inbuilt to Post API service as paid?
