AI coding assistants introduce code issues that persist in 22.7% of cases across real projects, creating measurable long-term technical debt.
Lost at c: A user study on the security implications of large language model code assistants,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.SE 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Students primarily used Copilot chat and code generation features during open-source contributions, with usage patterns varying significantly by gender, programming skill, and AI experience.
citing papers explorer
-
Debt Behind the AI Boom: A Large-Scale Empirical Study of AI-Generated Code in the Wild
AI coding assistants introduce code issues that persist in 22.7% of cases across real projects, creating measurable long-term technical debt.
-
Engineering Students' Usage and Perceptions of GitHub Copilot in Open-Source Projects
Students primarily used Copilot chat and code generation features during open-source contributions, with usage patterns varying significantly by gender, programming skill, and AI experience.