The recent emergence of new generative AI functions has led to its integration into software engineering teams, changing the way developers create and manage code in applications. The initial hype surrounding AI has given way to practical examples of its application, and it’s clear that AI is going to help clean up code. Technology purists are now working with AI to automate software testing, debugging, and data deduplication, and delineating new security parameters. AI-powered copilot solutions, such as Tricentis Tosca Copilot, are being developed to boost productivity gains and increase application quality throughout the testing lifecycle.
The Tricentis Tosca Copilot is a generative AI assistant that helps quality assurance teams find, understand, and optimize test assets through a chat interface, ensuring greater efficiency and reducing redundancy. Integrated within Tricentis Tosca, users can interact with the Copilot directly, promising to enhance productivity across all phases of test automation. The addition of Tosca Copilot to the Tricentis suite of generative AI-powered test automation assistants follows the launch of Tricentis Testim Copilot, which makes test creation faster and test code more understandable.
The integration of AI with testing levels the playing field for all team members, regardless of technical skill level, allowing even citizen testers to play a greater role in testing for fewer errors, leading to greater productivity, faster time to market, and lower costs. The advent of cloud computing has added to software system complexity, but Tricentis has built test portfolio optimization functions into Tosca Copilot, helping users quickly find unused test cases, duplicates, unlinked assets, specific executions, and tests linked to application elements.
