[Scenario 2: Code Generation with Claude Code] Your team uses Claude Code for code generation, refactoring, debugging, and documentation, integrated into daily development with custom slash commands and CLAUDE.md configuration — and you must judge when plan mode beats direct execution.

During multi-hour codebase exploration sessions, the agent starts answering from “typical patterns” instead of the specific classes it discovered earlier. Which TWO practices counteract this context degradation? (Select TWO.)

Question

[Scenario 2: Code Generation with Claude Code] Your team uses Claude Code for code generation, refactoring, debugging, and documentation, integrated into daily development with custom slash commands and CLAUDE.md configuration — and you must judge when plan mode beats direct execution.

During multi-hour codebase exploration sessions, the agent starts answering from “typical patterns” instead of the specific classes it discovered earlier. Which TWO practices counteract this context degradation? (Select TWO.)

Accepted Answer

Maintain a scratchpad file recording key findings as they are discovered, and have the agent reference it for subsequent questions / Delegate verbose investigation (e.g., “find all test files”, “trace the refund flow”) to subagents that return summaries, keeping the main session's context for high-level coordination Scenario 3: Multi-Agent Research System A coordinator agent built on the Claude Agent SDK delegates to specialized subagents — web search, document analysis, synthesis, and report generation — to research topics and produce comprehensive, cited reports.

Answer

Switch to a model with a larger context window and continue accumulating

Answer

Maintain a scratchpad file recording key findings as they are discovered, and have the agent reference it for subsequent questions

Answer

Repeat important questions twice in the same message

Answer

Ask the agent to be more specific

Answer

Delegate verbose investigation (e.g., “find all test files”, “trace the refund flow”) to subagents that return summaries, keeping the main session's context for high-level coordination Scenario 3: Multi-Agent Research System A coordinator agent built on the Claude Agent SDK delegates to specialized subagents — web search, document analysis, synthesis, and report generation — to research topics and produce comprehensive, cited reports.

Paper 3 · Question 20

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