The primary goal of this work was to assess whether an AI system could define and support the entire migration process, from design through script creation to execution. This effort was not limited to faster code generation. The experiment aimed to determine whether AI could practically support all migration stages, including analysis, process structuring, task automation, documentation, and execution support. For this experiment, I migrated from Azure DevOps Server to Azure DevOps Services using Microsoft’s official Data Migration Tool. This scenario was selected for its complexity, which includes technical dependencies, validation points, identity management, infrastructure setup, and post-migration verification. Such migrations are prone to errors if the process is unclear or not repeatable. The objective was to automate as much of the end-to-end migration flow as possible. Typically, such migrations require several days for planning, scripting, testing, documentation, troubles...
DREAMER, CRAFTER, TECHNOLOGY ENTHUSIAST, SPEAKER, TRAINER, AZURE MVP, SOLVING HARD BUSINESS PROBLEMS WITH CUTTING-EDGE TECHNOLOGY