Unverified50% confidenceOpinionExact time
The key to avoiding slop lies in establishing "acceptance criteria": clarifying data flow, defining interface contracts, requiring tests on critical paths, and regularly reviewing dependencies and permissions—not in banning AI from writing code.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedRepetitive tasks such as prototype validation, boilerplate code generation, documentation writing, and unit test framework setup are suitable for AI; core business logic, cryptographic implementations, access control, and security modules must be strictly reviewed by humans.75% similarUnverified在AI以代码覆盖率为优化目标时，会倾向生成大量验证简单路径的冗余测试而回避覆盖复杂关键的边界条件75% similarUnverifiedWhen testing AI systems with tool-use and code-execution capabilities, strict sandbox isolation and least-privilege control strategies must be adopted.73% similarUnverifiedHuman-in-the-loop (HITL) addresses AI reliability issues by setting manual inspection gates at key decision points in the pipeline, rather than reviewing every line of code.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1032498API
curl https://kongchang.com/api/v1/knowledge/claims/1032498MCP
get_claim(id=1032498)