gemini-code-assist[bot] commented on PR #209:
URL: https://github.com/apache/tvm-ffi/pull/209#issuecomment-3465992916

   ## Summary of Changes
   
   Hello @yifeifang, I'm Gemini Code Assist[^1]! I'm currently reviewing this 
pull request and will post my feedback shortly. In the meantime, here's a 
summary to help you and other reviewers quickly get up to speed!
   
   This pull request significantly improves the developer experience by 
expanding example coverage for CUDA C++ FFI usage and providing crucial 
documentation for navigating ABI compatibility issues when distributing 
kernels. It also streamlines the development workflow by detailing pre-commit 
hook setup, ensuring consistent code quality and easier onboarding for 
contributors.
   
   ### Highlights
   
   * **New CUDA C++ Example**: Introduced 
'examples/quickstart/load/load_cuda.cc' to demonstrate loading and executing 
CUDA FFI functions with custom CUDA memory allocators, completing the FFI usage 
pattern examples.
   * **Enhanced ABI Compatibility Documentation**: Added a comprehensive 
'Distribution and ABI Compatibility' section to 'docs/guides/cpp_guide.md', 
explaining glibc versioning challenges, the manylinux approach, and practical 
guidance for building compatible C++ and CUDA libraries.
   * **Improved Development Setup Guide**: Updated 'CONTRIBUTING.md' with a 
detailed 'Setting Up Pre-commit Hooks' section, including installation, usage, 
hook versions, requirements, and troubleshooting, to streamline developer 
onboarding and maintain code quality.
   * **Updated Build Environment**: Upgraded pip to the latest version in 
'tests/docker/Dockerfile' to ensure a modern and stable development container 
environment.
   
   
   
   
   
   
   
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