Unverified50% confidenceSolutionExact time
Engineering approaches to countering the degradation of long-conversation intelligence include: periodically summarizing key constraints and project status and re-injecting them, splitting long tasks into independent short sessions, and using external files instead of conversation history to carry persistent information.
1
Sources
50%
Confidence
Long-term
Relevance
10/25/2026
First Seen
Sources
DeepSeek Harness in Practice: AI-Engineered Programming from Beginner to Enterprise Deployment
bilibili图灵官方视频号10/25/2026
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UnverifiedStrategy selection suggestions: send short sessions in full; for long chats, use fixed anchors and narrative summaries; for large documents, retrieve by ID; for tool-intensive loops, prioritize deleting old tool outputs.80% similarUnverifiedThe original previews that the next step will be building session management: listing past sessions, resuming unfinished sessions, and compressing overly long sessions so they can continue running within the model's context window.79% similarUnverified将工作拆分为独立工单可缓解LLM对话过长时的上下文遗忘问题,使每个对话的上下文窗口保持精简79% similarUnverified项目级规格配置文件通过在每次会话启动时自动注入项目规范,人为构造持久化上下文,弥补LLM没有跨对话持久记忆的天然局限79% similarUnverifiedTo achieve multi-turn conversational coherence, developers must concatenate the conversation history into the input at each call, or inject relevant context into the prompt by retrieving it through an external memory system.79% similar
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