Exa has introduced exa-code, a web-scale context tool designed to enhance coding agents by providing highly relevant and dense web context, specifically optimized for handling libraries, APIs, and SDKs, thereby reducing hallucinations in code generation tasks by large language models (LLMs). This tool leverages Exa's AI-focused search engine to efficiently extract code examples from over a billion webpages, prioritizing examples that maximize recall and quality to deliver concise and informative results. Evaluations have demonstrated that exa-code is effective at preventing hallucinations, as it minimizes the token count required while maintaining high relevance, and it is available for free to the public on platforms like Smithery. Exa aims to address the knowledge constraints faced by LLMs, thereby allowing them to generate code with greater accuracy and competency.