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Skill Loading, Agent State Bars and Context Compression: Engineering Practice for Long-Context AI Agents

This story is from 2026-09-28. It is preserved in the archive; the latest stories are on the live feed.

Introduction Modern AI Agents are frequently constrained by context window limits, token cost and the degradation of reasoning quality as dialogue history grows. Simple prompt stuffing leads to expanded context, rising inference latency and gradual information dilution. This article systematically…

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  1. 2026-09-28 09:17 · DEV Community — AI
    Skill Loading, Agent State Bars and Context Compression: Engineering Practice for Long-Context AI Agents

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