Show HN: AI-nexus – Semantic router that cuts Claude Code token usage by 84% (github.com)

AI-nexus has launched a semantic router specifically designed for optimizing token usage in AI coding assistants like Claude Code, Cursor, and Codex. Instead of loading all rules for each prompt—which can incur costs of approximately 5,000 tokens—the AI-nexus router intelligently retrieves only the rules relevant to the task at hand, significantly reducing token usage to about 800 tokens, equating to an impressive 84% savings. This tool not only enhances efficiency for developers but also streamlines the workflow by allowing for customizable rule sets to be shared across teams via Git repositories. The significance of AI-nexus for the AI/ML community lies in its ability to improve cost-effectiveness in coding tasks while fostering collaboration among developers. The integration of dynamic loading of relevant rules based on user prompts allows for faster responses and less redundant processing. Users can easily install, manage, and contribute to a collaborative marketplace of coding rules, enhancing the adaptability and scalability of coding assistants. Furthermore, it encourages contributions from the community, making it an open-source initiative that can rapidly evolve and improve over time.