Atlas › 02 AI-Augmented Test Design › Context Feeding Strategies☰ Read as one page
Context Feeding Strategies
3.1The Core Problem: LLMs Are Only as Good as Their InputAn LLM generating tests without context is like a QA engineer writing tests without reading the requirements. The output might look…3.2The Context HierarchyNot all context is equal. When your token budget is limited, prioritize ruthlessly:3.3What to Feed and Howpaths: /api/v2/orders: post: summary: Create a new order security: - BearerAuth: [customer] requestBody: required: true content…3.4Anti-Pattern: The Context DumpDo not paste your entire codebase into the prompt. LLMs degrade with irrelevant context. A focused 200-line excerpt produces better tests…3.5Advanced Strategy: Context CompressionWhen you must include a lot of context, compress it. Instead of pasting a 500-line source file, summarize it:3.6Strategy: Multi-Turn Context BuildingFor complex features, build context across multiple prompts in a conversation:3.7Context Feeding ChecklistBefore sending a test generation prompt, verify:3.8Key TakeawayContext feeding is the highest-leverage skill in AI-augmented test design. The right 200 lines of context produce better tests than 5000…