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Context Engineer

Context Engineering is exploding in popularity, with a XXXXX% sentiment increase and XXX% rise in posts this past week! Discussions highlight its growing importance as a skill and career path, while also addressing AI's 'slop' problem.

About Context Engineer

Context Engineering is a specialized field focused on optimizing AI model performance by managing and structuring the information provided to them.

Insights

context engineer sentiment is up XXXXX% from the previous month.
context engineer posts created is up XXX% from the previous week.

Engagements: XXX (24h)

Engagements Line Chart
Engagements 24-Hour Time-Series Raw Data
Current Value: XXX
Daily Average: XXXXX
X Week: XXXXX -XX%
X Month: XXXXXXX +175%
X Months: XXXXXXXXX +1,124%
X Year: XXXXXXXXX +1,445%
1-Year High: XXXXXXX on 2025-11-29
1-Year Low: X on 2024-12-20

Engagements by network (24h): X: XXX YouTube: XX

Mentions: XX (24h)

Mentions Line Chart
Mentions 24-Hour Time-Series Raw Data
Current Value: XX
Daily Average: XX
X Week: XX -XX%
X Month: XXX -XXXX%
X Months: XXXXX +893%
X Year: XXXXX +3,093%
1-Year High: XXX on 2025-07-23
1-Year Low: X on 2024-12-20

Mentions by network (24h): X: XX YouTube: X

Creators: XX (24h)

Creators Line Chart
Creators 24-Hour Time-Series Raw Data
XX unique social accounts have posts mentioning Context Engineer in the last XX hours which is up XX% from XX in the previous XX hours Daily Average: XX
X Week: XX -XX%
X Month: XXX -XXXX%
X Months: XXX +611%
X Year: XXX +2,098%
1-Year High: XX on 2025-07-02
1-Year Low: X on 2024-12-20

The most influential creators that mention Context Engineer in the last XX hours

Creator	Rank	Followers	Posts	Engagements
@Trae_ai	X	XXXXXX	X	XX
@VadimStrizheus	X	XXX	X	XX
@jasonzhou1993	X	XXXXXX	X	XX
@alessiocarra_	X	XXX	X	X

Sentiment: XXX%

Sentiment Line Chart
Sentiment 24-Hour Time-Series Raw Data
Current Value: XXX%
Daily Average: XX%
X Week: XXX% +11%
X Month: XXX% +33%
X Months: XXX% no change
1-Year High: XXX% on 2025-04-21
1-Year Low: XX% on 2025-09-04

Most Supportive Themes:

Context Engineering as a Skill: (40%) Focuses on designing and optimizing the context in which AI models operate, rather than just crafting prompts.
Context Engineering Tools and Features: (30%) Highlights specific tools and features like MCP (Model Context Processor) that aid in context engineering.
Career Opportunities in Context Engineering: (20%) Discusses the emergence of Context Engineering as a new role and its potential for job creation.

Most Critical Themes:

AI Slop and Misalignment: (70%) Addresses the problem of 'slop' or misalignment in AI outputs, which Context Engineering aims to solve.
Transition from Prompt Engineering: (30%) Emphasizes the shift from traditional prompt engineering to the more advanced concept of context engineering.