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Context Feeding Strategies
4.1🔒The Core ProblemAn LLM generating tests without context is like a QA engineer writing tests without reading the requirements. The output might look…
4.2🔒What to Feed and Howpaths: /api/v2/orders: post: summary: Create a new order security: - BearerAuth: [customer] requestBody: required: true content…
4.3🔒Anti-Pattern: The Context DumpDo not paste your entire codebase into the prompt. LLMs degrade with irrelevant context.
4.4🔒Advanced Strategy: Context CompressionWhen you must include a lot of context, compress it. Instead of pasting a 500-line source file, summarize it:
4.5🔒Strategy: Multi-Turn Context BuildingFor complex features, build context across multiple prompts in a conversation:
4.6🔒Context Feeding ChecklistBefore sending a test generation prompt, verify:
4.7🔒Q&ASelf-Assessment Quiz1. What is the context hierarchy and what are its five priority levels? 2. Why is a 200-line focused excerpt better than a 5000-line dump?…
4.8🔒Key Takeaways- Context feeding is the highest-leverage skill in AI-augmented test design - The right 200 lines of context produce better tests than 5000…
4.9🔒ExercisesExercise 4.1 (Beginner): Take a feature from your project. List every piece of context you would feed to an AI. Categorize each into the…
4.10🔒Career Translation- Developed context feeding strategies that improved AI test generation accuracy by 40%, using prioritized context hierarchies, iterative…
4.11🔒Q&AInterview Depth CheckPrompt: You need to generate tests for an API endpoint, but the source file is 800 lines long. How do you decide what context to include in…