Code intelligence as agentic tooling

LLMs process code as a stream of tokens; they have no native understanding of call graphs, type hierarchies or symbol relationships. For code navigation, most coding agents today default to text-based search, the most powerful common denominator across all languages. For refactorings that are a quick shortcut in an IDE, agents need to generate multiple textual diffs. As a result, agents end up spending significant tokens reconstructing information that already exists in the abstract syntax tree (AST).

Code intelligence as agentic tooling gives agents access to tools that are aware of the AST, e.g. via the Language Server Protocol (LSP). Through these integrations, agents can perform operations such as "find all references to this symbol" or "rename this type everywhere" as first-class actions rather than relying on fragile text substitutions. Another powerful code intelligence integration are codemod tools like OpenRewrite, which operates on the even richer Lossless Semantic Tree (LST) representation of the code. The result is fewer hallucinated edits and lower token consumption by delegating appropriate tasks to deterministic tools.

Claude Code, OpenCode and others integrate with locally running LSP servers; JetBrains provides an MCP server that exposes IDE navigation and refactoring capabilities to external agents, while the Serena MCP server offers semantic code retrieval and editing.