June 2026 monthly summary for repository google-ai-edge/gallery focused on reducing technical debt and maintenance risk through targeted cleanup. The primary effort was removing the obsolete agentic_review components, including the proto definitions and skill references, to streamline the codebase and prevent stale references from impacting future development.

May 2025 performance summary for google-ai-edge/mediapipe-samples focusing on quantization optimization and stability of the Gemma 3 1b workflow. Delivered blockwise quantization for dynamic int8 fine-tuning in the Colab notebook, updated model conversion to the latest quantization API, and migrated the quantization path to DYNAMIC_INT4_BLOCK32 to satisfy LiteRT requirements. These changes reduce LiteRT footprint, accelerate fine-tuning cycles, and ensure forward compatibility with evolving runtime constraints. No customer-reported bugs; internal API compatibility fixes were implemented to stabilize the Colab runtime and the conversion pipeline.