Description: This market resolves to YES if the term "Context Engineering" (or "Context Engineer") becomes a widely recognized discipline in the tech industry by December 31, 2026.

Resolution Criteria: A "YES" resolution requires at least two of the following conditions to be met:

1. Job Market: "Context Engineering" appears as a primary required skill or job title in at least 5% of AI-related job postings on major platforms (LinkedIn, Indeed) or is hired for explicitly by at least 2 MAMAA companies (Meta, Amazon, Microsoft, Apple, Alphabet).

2. Search Interest: Google Trends data shows search interest for "Context Engineering" surpassing "Prompt Engineering" for a period of 3 consecutive months.

3. Tool Adoption: Major AI development tools (such as Cursor, VS Code Copilot, or similar) officially adopt "Context Engineering" as a primary feature name or workflow step in their documentation.

Notes:

• The source text "Curson" is interpreted as Cursor (the AI IDE), which is a pioneer in context-aware coding.

• "Context Engineering" is defined as the systematic design of data retrieval, memory management, and information architecture to ground AI responses, distinct from "Prompt Engineering" (crafting the query itself).