List of the Top 3 AI Copilots for JetBrains MPS in 2026

Devin Desktop is an AI-powered integrated development environment that enables developers to manage fleets of coding agents while maintaining complete control over the software development lifecycle. Built as the evolution of Windsurf, the platform combines advanced AI agents, a fully featured IDE, and collaborative workflow management into a single development experience. Developers can assign coding tasks to local or cloud-based agents, allowing autonomous execution of research, implementation, testing, debugging, optimization, and documentation activities. The platform's Agent Command Center provides centralized visibility into ongoing agent work, making it easier to coordinate multiple development efforts simultaneously. Features such as Spaces enable shared context and Git worktrees across agents, while Fast Context rapidly surfaces relevant code, files, and dependencies to accelerate development. Devin Desktop includes Supercomplete, which predicts developer intent beyond simple code completion, helping users work faster and remain focused. The platform supports multiple AI models and agent frameworks through the Agent Client Protocol, providing flexibility across different coding workflows and use cases. Extensive integrations with development, collaboration, monitoring, and project management tools allow organizations to connect AI-assisted development with their existing technology stack. Built-in code review, debugging, and traceability features ensure developers can inspect, validate, and refine every AI-generated change before deployment. The platform is designed for organizations that want to scale AI-assisted software engineering while maintaining visibility, governance, and code quality standards. Devin Desktop helps developers and engineering teams accelerate software delivery by combining autonomous AI execution with professional development tools and human oversight.

Qodo, which was previously known as Codium, offers an analysis of your code to detect potential bugs prior to deployment. By mapping out the behaviors inherent in your code, it effectively pinpoints edge cases and highlights any areas of concern. Subsequently, Qodo produces clear and meaningful unit tests that align with your code's functionality. This allows you to observe how your code operates and assess the impact of modifications on the surrounding codebase. With a keen focus on code coverage, it emphasizes the importance of high-quality tests that validate functionality, thereby instilling confidence in your commitment to the code. Instead of spending excessive time on dubious testing, you can redirect your efforts toward developing features that genuinely benefit your users. As you write, Qodo analyzes your code, documentation, and comments to propose tests that can be easily integrated into your suite. Committed to maintaining code integrity, Qodo not only generates tests but also aids in deepening your understanding of the code, exposing edge cases, and identifying any suspicious behaviors, ultimately enhancing the robustness of your software. By using Qodo, you can ensure a more efficient development process, allowing you to prioritize quality alongside productivity.

Cody is a sophisticated AI coding assistant created by Sourcegraph to improve software development's efficiency and quality. It works effortlessly within popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains tools, offering features like AI-enhanced chat, code autocompletion, and inline editing, all while preserving existing workflows. Tailored forenterprise teams, Cody focuses on maintaining consistency and quality throughout entire codebases by leveraging extensive context and shared prompts. Moreover, it broadens its contextual insights beyond mere code by integrating with platforms like Notion, Linear, and Prometheus, thus creating a comprehensive picture of the development landscape. By utilizing advanced Large Language Models (LLMs), including Claude Sonnet 4 and GPT-4o, Cody provides customized assistance that can be fine-tuned for various applications, striking a balance between speed and performance. Users have reported notable increases in productivity, with some indicating time savings of around 5-6 hours weekly and a doubling of their coding efficiency when utilizing Cody. As developers continue to explore its features, the potential for Cody to transform coding practices becomes increasingly evident.