This research paper proposes the design and implementation of automated testing tool specifically tailored for supporting the learning and training of web application development. The tool aims to streamline the assessment process for instructors by automating code marking for web application teaching and training tasks, reducing the time-intensive manual assessment process. Unlike existing tools that primarily target static pages or monolithic source code files, our tool addresses the dynamic nature of modern web development courses and training, incorporating modern web development frameworks. Utilising Vue.js, Node.js, and MongoDB, the tool offers a robust infrastructure for automated test case generation, execution, and feedback provision. This paper contributes to the training and educational technology field by enhancing automated grading and feedback efficiency, enabling accurate differentiation between student assessment work and standard answers, thus bridging gaps in existing tools reliant on line-by-line comparison algorithms