Xiaomi Open Sources MiMo Code, Beats Claude Code on Long Tasks

Xiaomi has made a significant contribution to the open-source AI community by releasing MiMo Code V0.1.0, a terminal-native AI coding assistant that outperforms Anthropic's Claude Code on ultra-long, multi-step programming tasks. The model excels at handling complex software engineering workflows involving 200 or more sequential steps. MiMo Code is designed to operate directly from the command line, making it a natural fit for developers who prefer terminal-based workflows. Its agentic architecture allows it to plan, execute, and iterate on extended coding tasks without losing context or direction. In benchmark tests, MiMo Code demonstrated superior planning capabilities and more reliable execution over long horizons compared to Claude Code, which is widely regarded as one of the leading AI coding assistants. This release is particularly noteworthy because it provides a powerful open-source alternative to proprietary coding assistants. Developers can now access, modify, and improve MiMo Code to suit their specific needs, fostering innovation and collaboration within the programming community. The open-source nature also allows for greater transparency and security auditing, which is increasingly important in AI-assisted development. Xiaomi's move signals a growing trend among tech companies to open-source their AI tools, recognizing that community-driven development can accelerate progress and adoption. MiMo Code's performance on long, complex tasks makes it especially valuable for large-scale software projects, refactoring efforts, and systems programming where maintaining coherence over many steps is critical. Early adopters have praised MiMo Code's ability to handle intricate debugging sessions and multi-file code generation tasks with minimal human intervention. As the project matures, it could become a staple tool for developers seeking an efficient, transparent, and powerful AI coding assistant.