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In an interview ahead of AI & Big Data Expo Europe, Sterling Chin, Senior Developer Advocate at Postman, shed light on the company’s AI-powered tool Postbot and its impact on API development.
Postbot is Postman’s intelligent assistant designed to tackle two perennial pain points in API development: testing and documentation.
“The major pain points that Postbot solves is allowing you to – by click of a button – generate tests for your APIs, generate documentation,” Chin explained. He added that Postbot can also visualise data, making it easier for developers to interpret large JSON objects.
By leveraging the extensive resources of Postman along with the unique data of a user’s own workspace, Postbot aims to rapidly speed up development processes and enhance team collaboration.
Chin countered the idea that an “AI apocalypse” could cause widespread job losses among developers. He suggested instead that AI will enable developers to achieve unprecedented levels of efficiency and innovation.
“It’s going to boost the productivity of developers and empower them,” Chin stated. He sees this partnership model as vital for maximizing the benefits of AI in software development.
Although he is hopeful about the capabilities of AI, Chin recognized the issues related to AI-generated code, especially concerns over copyright and the use of private data in AI training. He affirmed Postman’s dedication to responsible AI usage, noting that Postbot is developed using only Postman’s private data and openly accessible materials.
Chin emphasizes the importance of transparency in cultivating trust and promoting ethical AI practices, advocating for the use of open-source technology. “Open source allows for visibility into the data that powers AI, which has made me a stronger proponent recently,” he said.
Chin envisions a thriving future for the API ecosystem, with AI serving as a facilitator between developers and an evolving landscape marked by widespread interconnected services.
“I anticipate that soon, AI will be able to analyze and interpret external documentation autonomously. This will enable developers to simply instruct AI to establish connections with APIs,” Chin explained, suggesting a future where AI simplifies API integration and enhances cross-platform communication.
Additionally, Chin hinted at future enhancements in Postman, particularly with advanced Postbot features and ambitions to establish it as a key platform for discovering and assessing AI APIs.
At this year’s AI & Big Data Expo Europe, Chin will introduce an “AI/IML playbook” based on Postman’s real-life applications of AI technologies. This guide aims to provide participants with essential knowledge and proven approaches to integrate AI into their business processes and offerings.
“This playbook is rooted in practicality, stemming from our real world application of AI at Postman, moving beyond experimental phases, focusing on how we’ve implemented AI to benefit our users,” Chin detailed.
Under Postbot’s leadership, with a strong emphasis on ethical AI usage, Postman seeks to equip developers and define the next era of API utilities. By tackling fundamental issues in API evaluation and documentation, Postman is establishing itself as a leader in AI-based development resources.
Sterling Chin and his Postman colleagues will be at this year’s AI & Big Data Expo Europe to share their expertise. Swing by Postman’s booth at stand #294 to hear more about how solutions like Postbot can improve your workflow.
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