AI coding is now everywhere. But not everyone is convinced.

AI-powered coding is becoming increasingly prevalent, with tech giants investing heavily in large language models. While some tout the productivity gains from AI-generated code, others are skeptical, citing limitations and potential long-term maintenance issues. Developers are finding that AI tools excel at tasks like producing boilerplate code and fixing bugs but struggle with more complex problems due to limitations in context retention. Despite concerns about technical debt and code quality, adoption of AI coding tools is on the rise, with some developers reporting significant productivity boosts while others remain underwhelmed. The evolving landscape of AI coding tools presents challenges and opportunities for developers and organizations alike.