Megatron Change Analyzer

Turn a raw Megatron change set into structured feature evolution findings that are ready for downstream implementation work. Focus on extracting the real upstream feature shape, not on writing MindSpeed code yet.

Core Rules

• Assume input is a normalized Megatron change-set, not an arbitrary pile of commits.
• Group multiple low-level commits into higher-level change events when they serve one feature.
• Prioritize new features, API shape changes, config or CLI schema changes, and behavior-affecting refactors.
• Tag each event with migration relevance, but do not edit MindSpeed here.
• Treat the upstream commit itself as implementation evidence, not just as a summary source.
• When a feature is represented by a specific commit or tightly related commit cluster, preserve that grouping so downstream steps can port the implementation with the commit as the primary reference.
• Treat megatron main findings as exploratory unless the user has supplied a strict target mapping.

Output Shape

Produce a structured report with one event per feature or migration-relevant change: