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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.
Your agent has analyzed a complex service module -reading 23 source files, tracing request flows, and identifying error handling patterns. A developer wants to compare two testing strategies before committing to one: end-to-end tests with mocked external services vs. snapshot tests capturing expected outputs. They need to independently develop both approaches to evaluate trade-offs. How should you manage the sessions?

• A. Export the analysis session's key findings to a file, then create two new sessions that reference this file.
• B. Continue in the original session, developing end-to-end tests first, then snapshot tests sequentially.
• C. Resume the analysis session with fork_session enabled, creating a separate branch for each testing strategy.
• D. Start two fresh sessions, having each re-read the relevant source files before beginning.

You are building a multi-agent research system using the Claude Agent SDK. A coordinator agent delegates to specialized subagents: one searches the web, one analyzes documents, one synthesizes findings, and one generates reports. The system researches topics and produces comprehensive, cited reports.
A user is expanding the research system beyond its single web search agent by adding specialized data sources. They add a financial API agent that returns structured JSON with revenue, margins, and growth rates; a news monitoring agent that returns prose summaries of recent developments; and a patent analysis agent that returns structured lists of technology areas. The synthesis agent combines these into executive briefings. Currently, it converts everything to bullet points, causing financial comparisons to lose tabular clarity and news summaries to lose narrative flow. What change would most improve briefing quality?

• A. Update the synthesis agent to render each content type appropriately - financial data as tables, news as prose
• B. Standardize all subagent outputs to JSON with fields for claim, evidence, source, and confidence
• C. Standardize all subagent outputs to prose summaries with inline citations
• D. Add a format conversion layer between subagents and synthesis that transforms all outputs to a common intermediate representation

What is the PRIMARY purpose of few-shot prompting?

• A. Demonstrate desired output patterns.
• B. Increase model size.
• C. Encrypt prompts.
• D. Reduce token costs.

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.
Your agent needs to insert a new helper function into the middle of a 150-line utility module, between two existing functions. The Edit tool fails because its old_string parameter cannot find unique text to match - the file has repetitive docstrings, variable names, and structural patterns.
What's the most reliable way to complete this insertion?

• A. Use Bash to append the function definition to the end of the file using heredoc syntax
• B. Use Edit's replace_all parameter to target a common pattern and embed the new function in the replacement text
• C. Use Read to load the file, add the function at the appropriate location, then Write the updated file
• D. Use Edit with an extremely long old_string capturing 30+ lines of context to guarantee uniqueness

The synthesis agent completes its initial pass but flags that three key research questions remain unanswered because the web search and document analysis agents didn't find relevant information on those specific subtopics. The coordinator currently proceeds directly to report generation, producing reports with incomplete coverage. What change would most effectively improve research completeness?

• A. Increase the initial breadth of queries sent to web search and document analysis to reduce the probability of missing relevant information.
• B. Have the report generation agent note which research questions couldn't be answered, so users understand the limitations of the final output.
• C. Have the coordinator evaluate synthesis output for gaps, then re-delegate to web search and document analysis with targeted queries before invoking synthesis again.
• D. Give the synthesis agent direct access to web search tools so it can autonomously fill knowledge gaps without returning control to the coordinator.