Command Center is an AI-native development environment released on June 9, 2026, by its developer, Command Center Team (Jimmy & Ray). It is a unique solution focused on the process of human developers reviewing and refining code generated by AI agents. Similar to how Google Maps finds the optimal route within a complex road network and guides users, this tool tracks the semantic flow within the vast amount of code generated by AI, providing a walkthrough mode that allows developers to review it step by step. While conventional AI coding assistants focus on maximizing code writing speed, Command Center integrates a multi-agent parallel execution environment and a sophisticated refactoring architecture into the local environment to maximize the readability and maintainability of the generated code. The development of AI coding agents has accelerated development speed by a factor of tens, but the task of verifying the quality of the generated code and cleaning up the unnecessarily bloated "slop" code remains the responsibility of the developer, creating a new source of fatigue. Existing bug tracking or file-by-file comparison methods make it difficult to get an overall view of the changes scattered across dozens of files, and developers often make the mistake of merging code that works but is impossible to maintain. To overcome these limitations, Command Center provides an interface that allows developers to visually merge the results of multiple agents working independently simultaneously on a single screen. It also natively supports the Jujutsu (jj) architecture, a next-generation version control system that complements the structural limitations of existing Git, allowing developers to freely revert code changes as if they were detailed snapshots. In particular, researchers in fields such as complex machine learning pipelines or large-scale omics data can use this tool to confidently verify code from non-specialty areas. For example, when a researcher instructs the modification of a 2,000-line pipeline consisting of numerous Pandas operations and complex data preprocessing logic for processing large-scale expression data, the generated Diff files can be explored and reviewed in logical units using only the keyboard arrow keys, based on dependency relationships and execution flow rather than alphabetical order. In this process, a refactoring agent detects vulnerabilities such as hardcoded API keys or duplicate components and immediately presents suggested fixes, allowing the researcher to refine the AI-generated messy script into production-quality code that is ready for commercial deployment in just a few minutes.