You are building developer productivity tools using the Claude Agent SDK. The agent helps engineers explore…

Question

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, Glob) and integrates with Model Context Protocol (MCP) servers.

During testing, you observe that in extended exploration sessions (30+ minutes), the agent starts giving inconsistent answers about code structure it discussed earlier. Engineers report having to repeat context about modules they’ve already explored. What's the most effective approach to address this?

Accepted Answer

D. Have the agent maintain a scratchpad file that records key findings, referencing it for subsequent questions.

Answer

A. Implement automatic context clearing every 15 minutes to ensure the agent starts with fresh, uncontaminated context.

Answer

B. Switch to a higher-capacity model tier to provide more context window space for accumulated exploration data.

Answer

C. Create summaries of all source files before exploration begins, loading only these compressed representations into context.

Question 79