Dark Side of AI-Assisted Coding j6d60

The integration of generative AI tools like GitHub Copilot, Cursor IDE, WindSurf IDE, ChatGPT, Amazon CodeWhisperer, and Gemini Code Assist is rapidly transforming software development, offering significant productivity gains but introducing complex risks. While these tools accelerate coding and reduce repetitive tasks, they can lead to decreased code quality, subtle bugs, and increased technical debt, often fostering over-reliance and skill atrophy in developers. Furthermore, AI-generated code poses substantial security and compliance challenges due to potential insecure patterns, licensing violations, and data leakage through prompts. Addressing these issues requires robust governance frameworks, human-in-the-loop practices, advanced tooling for quality and explainability, and continuous training to ensure responsible adoption and mitigate long-term strategic risks like expertise erosion and vendor lock-in. 2p5n70