During October 2025, Chaowan enhanced the vllm-project/tpu-inference repository by delivering a comprehensive documentation visuals and assets update. Focusing on asset management and documentation, Chaowan improved the onboarding experience for TPU inference users by refining README presentation, updating header visuals, and introducing dark-mode friendly assets. The work involved meticulous updates to Markdown files, including spacing adjustments and typo corrections, to ensure clarity and branding consistency. By coordinating a series of incremental commits, Chaowan increased the discoverability and accessibility of TPU inference features, ultimately reducing user confusion and aligning documentation with project standards without modifying the underlying codebase.