Expired50% confidenceOpinionExact time
As mainstream models' context windows expand to the million-token level, context engineering is gradually becoming the central topic of the next phase of prompt engineering.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/15/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/13/2026(expired)
Sources
Related Claims
UnverifiedContext Engineering is becoming the next core concept after prompt engineering.74% similarUnverifiedThe context window of large language models has expanded from 4K tokens to the million-token scale, making long-horizon planning possible and allowing models to maintain a consistent understanding of the initial goal across sequences of dozens of tool-call steps.74% similarUnverifiedCurrent mainstream large models predominantly adopt a pure Decoder architecture, because its pretraining objective is highly compatible with generative dialogue tasks and scaling effects are more pronounced.69% similarUnverifiedThe context window of code generation models has expanded from a few thousand tokens in the early days to hundreds of thousands of tokens, making it technically possible to generate a full-stack front-end and back-end application in a single pass.68% similarUnverifiedThe context window of large language models has expanded from the early 4K tokens to today's 100K+, and the maturation of this technical foundation has driven autonomous development tasks from the laboratory to practical usability.67% similar
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