DEVOPSdigest

Grid Dynamics announced its AI for Developer Productivity Toolkit.

This toolkit provides specialized applications for common software development scenarios including application modernization, functional test automation, and cloud deployment observability. These purpose-built tools enable development teams to solve corresponding problems faster and more efficiently than general-purpose coding LLMs and copilots.

This release includes three new tools to address three in-demand use cases across Grid Dynamics’ client base. The first tool, AI Application Modernization, performs architectural analysis of legacy applications, generates detailed specifications for the target technology stack, and implements these specifications in the code. The second tool, AI Test Automation, enables end-to-end functional test generation by analyzing the business logic of an application, generating test cases, and producing the test automation code. The third tool, AI Assistant for Cloud Observability, enables natural language querying of the data collected from cloud accounts and observability systems, boosting the productivity of site reliability engineers and reducing time to resolution. The toolkit has a pluggable architecture and can be integrated with all major LLM service providers as well as private LLM deployments.

“GenAI copilots are already used by most developers on a day-to-day basis, but the capabilities of such general-purpose tools do not completely fulfill the potential of GenAI for improving developer productivity,” said Ilya Katsov, Vice President of Technology at Grid Dynamics. “The new tools we released today are purpose-built for more niche use cases, and thus enable higher levels of automation and more significant productivity gains. Our engineering teams already use these tools on multiple projects, and we’re now making this toolkit available to the engineering teams of our clients.”

The AI for Developer Productivity tools are the latest, innovative, problem-solving solutions from Grid Dynamics and support the company’s GigaCube growth strategy.