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You are building developer-productivity tools using the Claude Agent SDK.

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?

A.

Analyze imports and class hierarchies to identify the base cache class, read that file to understand its interface, and then trace the specific invalidation implementations.

B.

Use Glob to find files matching common caching patterns such as *cache*.py or caching/ , read the largest files first, and inspect smaller files afterward.

C.

Use Read to load all 15 files sequentially and build a complete understanding of the caching implementation.

D.

Use Grep to search for invalidate and expire , and then read only the matching line ranges with minimal surrounding context.

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