Article by Ayman Alheraki on January 11 2026 10:36 AM
Clang is a powerful compiler that supports the latest C++ standards and optimizations, often preferred for its fast compilation times, excellent diagnostics, and modular architecture. Many C++ projects use build systems like CMake or Meson to manage dependencies and configurations. However, you can compile and build projects directly with Clang without these systems, which is useful for learning, debugging, or setting up lightweight builds.
This guide explores how to use Clang to compile simple programs, manage large projects manually, and enable the latest C++ standards (C++23 and upcoming C++26).
For a basic C++ program, Clang can compile a single source file as follows:
xclang++ main.cpp -o main
Clang defaults to an older C++ standard unless specified. Use -std= to enable modern features:
xclang++ -std=c++20 main.cpp -o main # C++20clang++ -std=c++23 main.cpp -o main # C++23clang++ -std=c++2b main.cpp -o main # Experimental C++26 (C++2b)
C++23 Enhancements:
std::expected for handling errors without exceptions.
std::mdspan for multi-dimensional array views.
std::print as a modern replacement for printf.
C++26 (experimental, available in Clang trunk builds):
Deduction in this pointer.
Metaclasses (if approved).
Pattern Matching.
For larger projects with multiple source files (main.cpp and helper.cpp):
xclang++ main.cpp helper.cpp -o my_program
Recompiling everything every time is inefficient. Instead, compile each file into object files (.o):
xclang++ -c main.cpp -o main.oclang++ -c helper.cpp -o helper.oclang++ main.o helper.o -o my_program
This speeds up builds because only modified files are recompiled.
For large projects, you must organize files, headers, and dependencies efficiently.
xmy_project/├── src/│ ├── main.cpp│ ├── helper.cpp│ ├── module/│ │ ├── math.cpp│ │ ├── physics.cpp├── include/│ ├── helper.hpp│ ├── module/│ │ ├── math.hpp│ │ ├── physics.hpp├── build/
-I)If header files are in include/, use -I to include them:
xclang++ -Iinclude src/main.cpp src/helper.cpp -o my_program
To compile only changed files:
xclang++ -c -Iinclude src/main.cpp -o build/main.oclang++ -c -Iinclude src/helper.cpp -o build/helper.oclang++ -c -Iinclude src/module/math.cpp -o build/math.oclang++ build/main.o build/helper.o build/math.o -o my_program
Many projects depend on external libraries. To link them:
xclang++ main.cpp -o my_program -lm -lpthread
.so or .dll)For a shared library (e.g., libmylib.so):
xclang++ main.cpp -L/path/to/libs -lmylib -o my_program
.a or .lib)For a static library (e.g., libmylib.a):
xclang++ main.cpp /path/to/libmylib.a -o my_program
-O1, -O2, -O3 → Increasing levels of optimization.
-Os → Optimized for size.
-Ofast → Aggressive optimizations, may break strict compliance.
Example:
xclang++ -O2 main.cpp -o main
-g and -fsanitize-g → Adds debugging symbols.
-fsanitize=address → Detects memory errors.
-fsanitize=undefined → Detects undefined behavior.
Example:
xclang++ -g -fsanitize=address main.cpp -o main
xclang++ --target=aarch64-linux-gnu main.cpp -o main
xclang++ --target=x86_64-windows-gnu main.cpp -o main.exe
For large projects, instead of a build system, use a Makefile or script:
build.sh)x#!/bin/bashmkdir -p buildclang++ -c -Iinclude src/main.cpp -o build/main.oclang++ -c -Iinclude src/helper.cpp -o build/helper.oclang++ -c -Iinclude src/module/math.cpp -o build/math.oclang++ build/main.o build/helper.o build/math.o -o my_programecho "Build complete!"
Run it:
xchmod +x build.sh./build.sh
While manual builds work for small and medium projects, using CMake/Meson is beneficial when:
Managing platform-specific dependencies.
Handling many source files and configurations.
Automating compilation across different OSes.
However, understanding how Clang works without a build system is crucial for debugging, learning, and writing efficient scripts.
Clang provides a powerful way to compile C++ projects without a build system. By using clang++ effectively, you can:
Compile simple and large projects.
Optimize builds and enable debugging tools.
Link external libraries.
Cross-compile for different architectures.
Automate builds with shell scripts.
This approach is ideal for learning, small projects, and debugging, but for large-scale applications, a build system eventually becomes necessary.