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Abstract:
This instructional webinar provides a comprehensive tutorial on using the Bazel build system for C++ development, focusing on achieving scalable, reliable, and hermetic builds. The video guides viewers through setting up a new C++ project, explaining why Bazel is often a superior choice over traditional tools like CMake or Makefiles. Key topics include managing external dependencies hermetically using the Bazel Central Registry, integrating with IDEs and editors like VS Code via clangd and a compilation database, and performing cross-compilation. The tutorial demonstrates how to build a Linux/ARM64 binary from a macOS host by configuring platforms and using a sysroot for headers and libraries. It also covers packaging the resulting application into a minimal OCI container for deployment and using advanced features like transitions for efficient multi-platform builds. Finally, it touches on developer productivity tools for linting and automatic build file generation.
Building C++ with Bazel: A Guide to Scalable and Hermetic Builds
aspect init command. A simple "Hello World" C application is created, demonstrating the basic cc_binary rule. The presenter shows how to use bazel aquery to inspect the exact compiler commands Bazel will run, illustrating how Bazel abstracts away complex command-line flags from the developer.libmagic library from the Bazel Central Registry (BCR). This approach avoids version skew and portability issues associated with linking against system-installed libraries. It also covers managing runtime data dependencies required by the library.clangd). By running a tool to generate a compile_commands.json file, the editor gains full awareness of the hermetic build environment, enabling features like go-to-definition, autocompletion, and accurate in-line error reporting.linux/arm64 target while on a macOS host by configuring a sysroot, which provides all the necessary headers and libraries for the target architecture, ensuring a fully hermetic build.rules_oci. This allows for the creation of a minimal, production-ready container image (e.g., Docker) directly from the build system.amd64 and arm64) in a single bazel build command, which is ideal for creating multi-architecture container images.bazel lint (an Aspect CLI command) to run clang-tidy for code analysis and mentions using Gazelle with custom extensions to automatically generate and maintain C++ BUILD files, reducing boilerplate.