Developed a vision system pose estimation testing framework for the Earl-Of-March-FRC/2025-7476-Reefscape repository, focusing on validating the accuracy of autonomous routines such as reef alignment and barge launching. The work centered on integrating PhotonVision and AprilTags to assess pose estimates under varying lighting and tag configurations. Established detailed test specifications, success criteria, and documentation procedures to ensure repeatable validation and facilitate continuous integration. Utilized Markdown for comprehensive documentation, emphasizing robotics and testing best practices. The framework linked directly to formal validation commits, supporting robust quality assurance and providing clear guidance for future quality assurance and continuous integration efforts.