

For OpenVADL/openvadl in 2025-12, delivered targeted improvements to code generation accuracy, build reliability, and data-layout correctness. The work focused on establishing a robust LLVM integration path, refining data-layout information, and correcting addressing-mode validation to enable optimization passes such as LICM. Overall, the month produced concrete features, bug fixes, and cleanup that strengthen the foundation for platform-specific optimizations and safer code generation.
For OpenVADL/openvadl in 2025-12, delivered targeted improvements to code generation accuracy, build reliability, and data-layout correctness. The work focused on establishing a robust LLVM integration path, refining data-layout information, and correcting addressing-mode validation to enable optimization passes such as LICM. Overall, the month produced concrete features, bug fixes, and cleanup that strengthen the foundation for platform-specific optimizations and safer code generation.
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