Show HN: Subagentmaxxing – Orchestrate GPT and Cursor Models with Claude Code (github.com)

A new tool called "Subagentmaxxing" has been released, enabling users to efficiently orchestrate multiple AI coding models, including OpenAI’s Codex, Cursor, and Claude Code, as subagents through a single command-line interface (CLI). This tool allows developers to leverage different models' strengths—such as Grok's insights, Composer's speed, and GPT-5.5's reasoning—by managing them under a unified command, which simplifies the user experience while also making it more cost-effective. The significance of Subagentmaxxing lies in its ability to enhance productivity and reduce operational costs in AI-assisted coding. By normalizing interactions with various models, users can run tasks in parallel, obtaining consensus or multiple perspectives on a prompt at a fraction of the cost. For example, while Cursor’s Composer 2.5 can achieve 94% of Opus 4.7-max's quality for about 1.7% of the price per task, this approach can lead to cost savings of 15-30 times without compromising quality. Overall, Subagentmaxxing is a powerful tool that democratizes access to various AI capacities, enabling more flexible and efficient workflows in software development.