Ivan Pinto: A Year of AI Testing in Software Dev

Ivan is an Associate VP of Delivery at Robosoft Technologies. His team does application development, engineering and QA for US clients, including web (HTML, CSS), mobile (Android, iOS, Samsung, LG) and streaming, including Roku TV.

In this episode, Ivan shares what he learned in his experiments over the past year using Gen AI to improve the efficiency and quality of code produced by his 300-member team, including results that he describes as “amazing,” with time savings of 40-50% in writing code. The technologies he discusses include GitHub Copilot, Amazon CodeWhisperer, Tabenine, Codeium, TestGrid and LambdaTest. And he describes how he chose between those, and also which ones he has his eye on for the future. Tests were done in various parts of the development lifecycle, including boilerplate code for new projects, bug fixing, unit testing, integration QA, and migrating from one language to another. Since not all of these situations benefited equally from AI-powered tools, Ivan describes what worked well, and where there are gaps that need further development work by vendors.