Unverified50% confidenceFactExact time
The retro skill reviews the agent's full conversation record and improves in two directions, context engineering and guardrails: generating agent MD files, cleaning up redundant system prompts, and codifying recurring errors into lint rules or coding conventions.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/21/2026
First Seen
Valid until: 1/19/2027
Sources
Related Entities
Related Claims
UnverifiedAgent long-range degradation may be an engineering side effect of state management, memory, retry, and orchestration design, rather than an intrinsic property of trajectory length.71% similarUnverified错误自动修复能力在技术上依托反思型Agent（Reflexion Agent）机制，编译器返回的错误日志被Agent捕获后作为新输入触发下一轮推理与修正64% similarUnverifiedResearch from MemGPT, Reflexion, and others found that having agents explicitly generate experience summaries after task completion and write them back to memory can significantly improve cross-task transfer capability.64% similarUnverifiedThe core challenges of the Agent Loop include preventing runaway loops (by setting a maximum number of steps), handling error recovery from failed tool calls, and maintaining reasoning quality without degradation over long contexts.64% similarUnverifiedCoding agents proactively run the program or test cases after making changes and continue adjusting based on error messages, forming a "modify—run—observe—modify again" loop.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1082137API
curl https://kongchang.com/api/v1/knowledge/claims/1082137MCP
get_claim(id=1082137)