JetBrains Context

Give agents the codebase knowledge they need

Coding agents often get lost in complex codebases. JetBrains Context helps to make your code agent-ready. It reduces exploration overhead, improves execution speed, and lowers the cost of working in production-scale repositories.

Benefits:

• Less exploration – more execution: Every agent task starts with exploration: locating relevant code, understanding dependencies, and identifying implementation patterns. JetBrains Context helps agents spend less time searching, reducing agent turns and accelerating delivery.
• Scale to enterprise codebases: As codebases grow, agents miss conventions, duplicate existing code, and overlook dependencies. JetBrains Context gives them access to repository knowledge at enterprise scale, helping them make better decisions across the entire codebase.
• Improve code quality: JetBrains Context provides agents with cross-repository knowledge, code examples, and engineering conventions. Better context helps agents follow your architecture and coding standards, reducing AI-generated slop.
• Stop wasting tokens: Without shared context, agents waste tool calls, tokens, and reasoning cycles rediscovering repository knowledge. JetBrains Context helps them reach the right information more efficiently, reducing execution costs.

Capabilities:

• Incremental repository indexing for semantic search: Automatically keep up to date; high-performance indexing that allows agents to find what they need in your repositories.
• Semantic code search and retrieval: Instead of grep-guessing to find the right results, agents can ask questions to get immediate code results, saving on expensive steps, reducing context overhead, and increasing accuracy.
• Any size, any programming language: Designed for large repositories and production monorepos containing hundreds of thousands or millions of files. Works across repositories containing Java, Kotlin, Python, JavaScript, TypeScript, Rust, C++, and other major languages.
• Streamline search across multiple org repos: Allow the agent to go beyond the scope of the current repo to identify relevant code across your organization’s codebase. With multi-repo search, agents have a better view of the change impact radius and can maximize code reusability.