Unverified50% confidenceFactExact time
In traditional software engineering, critical paths typically require 80%–100% test coverage, but AI systems cannot exhaustively enumerate natural language inputs, giving rise to the engineering sub-field of AI system Evaluation.
1
Sources
50%
Confidence
Long-term
Relevance
9/4/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAI tool adoption in the code-writing stage has exceeded 70%, but AI assistance rates in requirements review, architecture design, code review, integration testing, and similar stages are below 20%.79% similarUnverifiedAI可以快速生成约80%的框架代码,但剩余20%涉及边界情况处理、性能优化和安全加固的工作依然高度依赖人工判断,业界称此为「最后一公里问题」74% similarUnverified该方案通过一条自然语言指令让 AI 自动完成从需求拆分、测试点提取到测试用例生成的全流程73% similarUnverifiedIn actual AI Agent project development, approximately 80% of the time is spent debugging prompts and troubleshooting abnormal Agent decisions, rather than on framework learning itself.72% similarVerified在AI大规模参与代码生产的时代,传统人工Code Review流程可能需要被AI辅助自动化审查、更严格的自动化测试覆盖等新范式取代72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/855513API
curl https://kongchang.com/api/v1/knowledge/claims/855513MCP
get_claim(id=855513)