Unverified50% confidenceFactExact time
When an agent is actually editing files, it may only be able to accommodate 5,000 to 10,000 lines of code at a time, because system prompts, tool definitions, conversation history, and other elements are all competing for the context window.
1
Sources
50%
Confidence
Long-term
Relevance
9/16/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAn 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.71% similarUnverifiedAgentMemory compresses operation history into structured memory, consuming only approximately 1,900 tokens per session64% similarUnverified团队观察到纯Code Mode下智能体常写约50行长脚本,而有REPL语义后倾向写更短脚本并穿插更多推理,这种交错式工作往往能更快得到更好答案63% similarUnverifiedTencent's internal CodeBuddy covers 90% of engineers, 90% of code is generated by AI, and coding time has been reduced by 40%63% similarVerifiedIn 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.62% similar
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