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Access to code generation via AI may rise, but control over software development is likely to become more exclusive, favoring those with deep expertise.
A novel HITL approach reveals that toxicity dynamics in open source projects are more complex than previously understood, with significant implications for contributor engagement.
LLMs can now automatically generate personalized secure programming examples by injecting vulnerabilities directly into student code, but the impact on learning outcomes requires further study.
