Anthropic CCAR-F Question Answer
You are building developer-productivity tools using the Claude Agent SDK. The agent helps engineers explore unfamiliar codebases, understand legacy systems, generate boilerplate code, and automate repetitive tasks. It uses the built-in tools—Read, Write, Bash, Grep, and Glob—and integrates with Model Context Protocol (MCP) servers.
An engineer asks the agent to understand how the caching layer works before adding a new cache-invalidation trigger. Initial Grep searches show that caching logic spans 15 files containing decorators, middleware, and service classes—approximately 8,000 lines in total.
What is the most effective next step for building understanding while managing context constraints?

