A Comparative Featureset Analysis of Agentic IDE Tools

The rapid evolution of Artificial Intelligence (AI) is profoundly reshaping software development practices, with sophisticated Agentic Integrated Development Environment (IDE) tools emerging as pivotal innovations. These tools transcend traditional coding assistance, offering proactive and autonomous capabilities that can significantly enhance developer productivity and workflow efficiency. This paper presents a comprehensive comparative featureset analysis of eight prominent agentic IDE tools as of mid-2025: GitHub Copilot, Cursor, Sourcegraph Cody, Tabnine, Amazon Q Developer, WindSurf (post-acquisition by OpenAI), Augment Code, and Cline. The analysis incorporates an expanded scope, evaluating these tools on their core agentic functionalities and, critically, their provisions for background and remote agent capabilities, which enable more complex and asynchronous task automation. Furthermore, this research investigates the support for the Model Context Protocol (MCP) as a key dimension for extensibility and interoperability. For Cline, particular attention is given to its strengths and operational model as an open-source solution. The findings highlight the diverse approaches to agentic AI in software development, the varying degrees of autonomy and intelligence offered (including asynchronous and remote operations), and the growing importance of standardized protocols like MCP. This research provides an updated snapshot of a dynamic field, offering valuable insights for practitioners, researchers, and decision-makers navigating the evolving landscape of AI-powered software engineering features.