Unverified80% confidenceFactTime unknown
在代码Agent场景下,一次完整任务的轨迹长度可达数十万token
1
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80%
Confidence
Long-term
Relevance
5/31/2026
First Seen
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UnverifiedCoding Agent采用感知-规划-行动循环(类似ReAct框架),复杂任务可能需要数十次内部迭代,每次任务处理可能需要10到15分钟76% similarUnverifiedIn multi-agent systems, each Agent call must carry the full context, and multi-turn reasoning continuously accumulates conversation history, meaning a seemingly simple multi-Agent task may consume tens of thousands or even hundreds of thousands of Tokens, whereas an equivalent workflow might only require a single call of a few hundred Tokens.71% similarUnverifiedAn Agent handling a medium-scale code refactoring task may need to read 20–30 files, execute more than 10 tool calls, and accumulate a context exceeding 50,000 tokens.69% similarUnverified一个复杂的 Agentic 任务可能需要数十次 LLM 推理,总耗时从几十秒到数分钟不等67% similarUnverifiedA user generated approximately 750,000 lines of Rust code using Claude Code's dynamic workflow, achieving a test pass rate of 99.8%, with the entire project taking only 11 days from submission to merge.66% similar
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