3.6Strategy: Multi-Turn Context Building

For complex features, build context across multiple prompts in a conversation:

Turn 1: "Here is the OpenAPI schema for the payments endpoint. Summarize the
         test scenarios you would create."

Turn 2: "Good. Here are our existing payment tests for reference style.
         Now generate the first 10 tests matching this style."

Turn 3: "These look good. Now add tests for the edge cases: expired cards,
         insufficient funds, and currency conversion rounding."

Turn 4: "Review all generated tests. Which ones are testing the mock
         instead of the real behavior? Flag any tautology tests."

Each turn adds context incrementally, and the conversation history provides implicit context from prior turns. This is more effective than a single massive prompt because:

• The LLM's attention is focused on one concern at a time
• You can course-correct between turns
• You build a review-as-you-go workflow