How Workspace Intelligence Works

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Workspace intelligence gives the AI the ability to understand your project before acting on it. This is a fundamental shift from how most AI tools work.

Key capabilities:

Code indexing — the AI can search through your codebase to find classes, methods, and patterns
File search — locate files and folders by name or pattern without guessing paths
Path diagnosis — validate that paths exist and are accessible before trying to use them
Project structure analysis — understand how your project is organized before making changes

This is a dramatic improvement over the typical AI experience where the model guesses at file paths and hopes for the best. With workspace intelligence, the AI searches first, confirms what exists, and then acts with confidence.

The result is fewer errors, fewer wasted commands, and a much more reliable development experience. When the AI knows your project structure, it makes better decisions at every step.