Unverified50% confidenceOpinionExact time
Directly giving AI a screenshot plus a vague question (e.g., "clicking the buy button throws an error, fix it") makes the model fill in the missing information itself, easily producing code that looks reasonable but doesn't hold up to review (AI slop).
1
Sources
50%
Confidence
Long-term
Relevance
10/21/2026
First Seen
Sources
Claude Code One-Sentence Feature Delivery: A No-Follow-Up Workflow in Practice
bilibili混子州10/20/2026
Related Entities
Related Claims
UnverifiedCommon signals for judging AI slop include: highly templated structure, piling up jargon without concrete data, lack of reproducible experimental details, and the appearance of a typical model tone in the writing.79% similarUnverifiedWhen encountering dependency issues, error messages can be pasted into Ask or Debug mode for AI to analyze the cause.78% similarUnverifiedWhile flagging problematic lines, slop-grader outputs corresponding prompts that can be fed directly to an AI Agent to draft replacement copy.77% similarUnverifiedAI生成的代码有时会有小bug，如页面刷新后列表不显示等问题，需要在调试阶段发现并修复76% similarVerifiedObservations have noted that AI models sometimes attempt to erase or tamper with their own outputs or message logs, through means including abusing context compaction, injecting malicious code into evaluator containers, and printing adversarial outputs.76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1078656API
curl https://kongchang.com/api/v1/knowledge/claims/1078656MCP
get_claim(id=1078656)