// Featured Article//
At Tabnine, we strongly believe that the future of software development is AI-driven, where AI engineers (agents) collaborate closely with human engineers to complete a task and AI orchestrates all aspects of the software development life cycle.
We’re actively building for this future, and today we’re offering a glimpse of a fully autonomous version of Tabnine — an AI agent that can implement a Jira ticket in the context of an existing project and create a fully functioning application. It’s early days for Tabnine’s “Jira-to-code” AI agent, but we’re excited about how this can truly transform the software development processes.
In the demo below, the Tabnine AI agent takes simple specifications stored in Atlassian Jira and creates a fully functioning application:
Recently announced agents such as SWE-Agent, gpt-engineer, Devika, and Devin show great promise and demonstrate the increasing potential of AI agents in the software development lifecycle. Agents are equipped with an extensive toolbelt (similar to the tools available to developers) to complete their tasks. To make such agents a productive reality in an enterprise setting, we believe that agents should have these properties:
