Agentic Coding Assistants: Impressive Progress, Persistent Challenges

Generative AI, particularly LLMs, is revolutionizing software development. This memo details the author's experience using AI coding assistants over several months, revealing significant efficiency gains alongside persistent challenges. The AI frequently misdiagnoses problems, uses brute-force fixes, lacks code reusability, and generates redundant code, impacting team workflow and long-term maintainability. The author categorizes these issues into three impact radiuses: time to commit, team flow, and long-term maintainability, and offers mitigation strategies such as careful code review, regular reflection, and establishing code quality monitoring mechanisms. The core message is that despite rapid AI advancements, developer experience and skills remain crucial.