The Art Behind Better AI: How We Achieved a 46% Speed Boost and 23× Cost Reduction
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Context engineering, the practice of preprocessing and optimizing data before sending it to LLMs, can dramatically improve AI system performance. By implementing a structured pipeline that ranks candidates with utility functions, uses semantic slugs instead of opaque IDs, optimizes token usage, and minimizes LLM output, Wix
•7m read time• From wix.engineering
Table of contents
Intro: The Limits of Prompt EngineeringThe Baseline: Slow, Costly, and InaccurateWhat is Context Engineering?The ROI: Flash Models, Not Pro ModelsThe 4 Best Practices for Context EngineeringThe ROI of Context Engineering: The Data SpeaksCost and Token Reduction: Baseline vs. OptimizedModel Comparison: The Advantage of FlashConclusionSort: