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Approaches are suggested to support managers and decision makers with a developer-centric approach to introducing AI policies to mitigate LLM-related risks.
Agent Plans in open-source repositories reveal critical insights into how AI coding tools can be effectively guided through structured task-oriented artifacts.
AI coding assistants' Terms of Service overwhelmingly place responsibility for code correctness, safety, and legal compliance on the user, creating a potential accountability gap as these tools become more autonomous.
Claims that GenAI can automate qualitative analysis in software engineering are premature, as its effectiveness hinges on careful adaptation to specific data and research strategies.
