Feb. 29, 2024, 2:33 p.m. | daniel-octomind

DEV Community dev.to




AI generated issues with code quality


Studies on GitHub Copilot's impact on coding trends reveal a paradox: while it boosts coding speed it also introduces problems with code quality and maintainability. The latest study ‘Coding on Copilot: 2023 Data Suggests Downward Pressure on Code Quality’ by GitClear confirms the pattern. According to GitHub’s own study: "developers write code "55% faster” when using Copilot, but there appears to be a decline in code quality and maintainability of the code generated …

ai ai generated code code quality codequality coding copilot data generated github impact paradox quality speed studies study trends

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US