Wes McKinney explores the arithmetic shortcomings of large language models (LLMs) like Anthropic's Claude Code. He shares his experiences using these coding agents, highlighting how they can improve productivity but often struggle with basic calculations and reliability. Testing various models, he finds that local models perform better than many API options in handling arithmetic tasks.