Unverified50% confidenceSolutionExact time
Data flywheel mechanism: the harness lowers the task barrier so that more users use the Agent to handle harder coding tasks, and the resulting interaction data is shared with model labs for training; once the model's capabilities improve and it natively masters these skills, the harness can remove the corresponding auxiliary logic.
1
Sources
50%
Confidence
Long-term
Relevance
10/22/2026
First Seen
Sources
Former Cursor Engineer: Is Agent Harness Dead? The Data Flywheel and Three Things the Model Can't Absorb
bilibili全球AI科技不费眼10/22/2026
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Related Claims
UnverifiedThe "data flywheel" mechanism proposed by Jediah Katz: the harness makes harder tasks accessible → more users generate coding data → the data flows back to model labs → the model natively learns the skill → the harness removes the patch.77% similarUnverifiedThe tutorial suggests that learners first understand the directory structure and metadata specification of Skills, then write a minimal usable skill package by hand, and finally integrate it into an Agent to get the call chain working.75% similarUnverifiedSystem-level prompts determine how the model understands its own identity, goals, and constraints; structured instructions can reduce hallucinations and make tool calls and workflows more controllable.75% similarUnverifiedSelective tool loading refers to exposing to the model only the tools actually needed for the current task scenario, which reduces token consumption and decreases model confusion in tool selection.75% similar
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