Compare Augment Code vs. JetBrains Fleet in 2026

JetBrains Fleet

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Description

Augment Code is an AI agent built to enhance the coding experience for software engineers working with large and complex codebases. It integrates effortlessly into IDEs like Visual Studio Code, IntelliJ IDEA, Node, and Vim, offering a suite of tools for SDK migration, code refactoring, and code documentation. By leveraging machine learning, Augment Code automatically adapts to a developer’s style and memory, improving the quality of code generation and ensuring consistency across multiple repos. The platform is compatible with over 100 native and MCP tools, enabling engineers to debug, explain, and refine code in their familiar environments without needing to switch tools. Augment Code's deep integration with popular collaboration platforms like GitHub and Slack further streamlines workflows, making it easier for teams to collaborate and maintain high-quality code. Trusted by leading software teams, Augment Code helps developers write code like senior engineers, boosting productivity and reducing the complexity of large projects.

Description

Developed entirely from the ground up, JetBrains Fleet draws on two decades of experience in creating integrated development environments (IDEs). It utilizes the robust IntelliJ code-processing engine, featuring a distributed architecture and a fresh user interface designed for modern developers. Our aim with Fleet was to create a swift and efficient text editor that allows for quick code browsing and editing. It launches almost instantaneously, enabling you to start your work without delay, and has the capability to seamlessly evolve into a full-fledged IDE, with the IntelliJ engine operating independently from the editing interface. Fleet encompasses all the beloved features of IntelliJ-based IDEs, such as code completion tailored to your project context, easy navigation to definitions and usages, real-time code quality assessments, and convenient quick-fixes. The architecture of Fleet is thoughtfully designed to accommodate various configurations and workflows, allowing it to run locally on your machine or to offload some processes to the cloud, showcasing its versatility and adaptability for different development needs. This flexibility ensures that developers can choose the setup that best fits their workflow requirements.