Building a 24/7 Autonomous AI Developer with Xiaomi MiMo v2.5-pro
This technical article details the creation of 'Lizer,' an autonomous AI developer operating continuously on a cloud virtual machine. Powered by Xiaomi's MiMo v2.5-pro reasoning model and built on the open-source Hermes Agent framework, the system demonstrates advanced capabilities in automated software development. The author highlights MiMo's strengths, including deep step-by-step reasoning, seamless tool calling for GitHub CLI and file operations, native bilingual support, and cost efficiency. The architecture relies on five automated cron jobs that handle task execution from Kanban boards, pull request monitoring, daily experimental project builds, quality reviews, and self-reflection logs. In its first 24 hours, the autonomous agent successfully created 14 original repositories, such as an AI news aggregator and issue classifier, and submitted six significant pull requests to major open-source projects like Redis and Microsoft AutoGen. These contributions included performance optimizations and bug fixes requiring complex codebase analysis. The article serves as a comprehensive guide to constructing self-sustaining AI development pipelines, showcasing the practical application of large language models in continuous integration and autonomous coding tasks without human intervention.
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Building a 24/7 Autonomous AI Developer with Xiaomi MiMo v2.5-pro
This technical article details the creation of 'Lizer,' an autonomous AI developer operating continuously on a cloud virtual machine. Powered by Xiaomi's MiMo v2.5-pro reasoning model and built on the open-source Hermes Agent framework, the system demonstrates advanced capabilities in automated software development. The author highlights MiMo's strengths, including deep step-by-step reasoning, seamless tool calling for GitHub CLI and file operations, native bilingual support, and cost efficiency. The architecture relies on five automated cron jobs that handle task execution from Kanban boards, pull request monitoring, daily experimental project builds, quality reviews, and self-reflection logs. In its first 24 hours, the autonomous agent successfully created 14 original repositories, such as an AI news aggregator and issue classifier, and submitted six significant pull requests to major open-source projects like Redis and Microsoft AutoGen. These contributions included performance optimizations and bug fixes requiring complex codebase analysis. The article serves as a comprehensive guide to constructing self-sustaining AI development pipelines, showcasing the practical application of large language models in continuous integration and autonomous coding tasks without human intervention.