The article explores the advantages of using Bazel caching to enhance build performance and reliability, particularly for large projects with numerous dependencies. Bazel, a build and testing automation tool, utilizes both local and remote caching to store build artifacts, significantly reducing build times by avoiding redundant rebuilding of unchanged files. Local caching keeps artifacts on the same machine, offering faster access and greater reliability without needing an internet connection, but it lacks scalability and sharing capabilities. Conversely, remote caching, often leveraging cloud storage solutions like Google Cloud Storage or Amazon S3, allows artifact sharing across multiple machines, enhancing collaboration and scalability, although it introduces potential security risks and network latency issues. The article provides detailed guidance on setting up both local and remote caches, clearing caches, and discusses the implications of disabling caching. It emphasizes the importance of cache granularity in Bazel, which allows for efficient reuse of build outputs at a fine-grained level, further optimizing the build process by targeting individual components or modules within a build.