diff --git a/CMakeLists.txt b/CMakeLists.txt
deleted file mode 100644
index efd4867..0000000
--- a/CMakeLists.txt
+++ /dev/null
@@ -1,50 +0,0 @@
-cmake_minimum_required(VERSION 3.10)
-include(CheckLanguage)
-
-project(gpufetch CXX)
-
-set(SRC_DIR "src")
-set(COMMON_DIR "${SRC_DIR}/common")
-set(CUDA_DIR "${SRC_DIR}/cuda")
-
-if(NOT WIN32)
-  string(ASCII 27 Esc)
-  set(ColorReset "${Esc}[m")
-  set(ColorBold  "${Esc}[1m")
-  set(Red         "${Esc}[31m")
-  set(Green	  "${Esc}[32m")
-  set(BoldRed     "${Esc}[1;31m")
-  set(BoldGreen   "${Esc}[1;32m")
-endif()
-
-check_language(CUDA)
-if(CMAKE_CUDA_COMPILER)
-  enable_language(CUDA)
-else()
-  message(FATAL_ERROR "${BoldRed}[ERROR]${ColorReset} Unable to find CUDA compiler. You may use -DCMAKE_CUDA_COMPILER and -DCMAKE_CUDA_COMPILER_TOOLKIT_ROOT if CUDA is installed but not detected by CMake")
-endif()
-
-set(SANITY_FLAGS "-Wfloat-equal -Wshadow -Wpointer-arith")
-set(CMAKE_CXX_FLAGS "${SANITY_FLAGS} -Wall -Wextra -pedantic -fstack-protector-all -pedantic")
-
-# https://en.wikipedia.org/w/index.php?title=CUDA&section=5#GPUs_supported
-# https://raw.githubusercontent.com/PointCloudLibrary/pcl/master/cmake/pcl_find_cuda.cmake
-if(${CMAKE_CUDA_COMPILER_VERSION} VERSION_GREATER_EQUAL "11.0")
-  set(CMAKE_CUDA_ARCHITECTURES 35 37 50 52 53 60 61 62 70 72 75 80 86)
-elseif(${CMAKE_CUDA_COMPILER_VERSION} VERSION_GREATER_EQUAL "10.0")
-  set(CMAKE_CUDA_ARCHITECTURES 30 32 35 37 50 52 53 60 61 62 70 72 75)
-elseif(${CMAKE_CUDA_COMPILER_VERSION} VERSION_GREATER_EQUAL "9.0")
-  set(CMAKE_CUDA_ARCHITECTURES 30 32 35 37 50 52 53 60 61 62 70 72)
-elseif(${CMAKE_CUDA_COMPILER_VERSION} VERSION_EQUAL "8.0")
-  set(CMAKE_CUDA_ARCHITECTURES 20 21 30 32 35 37 50 52 53 60 61 62)
-endif()
-
-add_library(cuda_backend STATIC ${CUDA_DIR}/cuda.cpp ${CUDA_DIR}/uarch.cpp ${CUDA_DIR}/nvmlb.cpp ${CUDA_DIR}/pci.cpp)
-target_include_directories(cuda_backend PUBLIC ${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}/samples/common/inc ${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}/targets/x86_64-linux/include)
-link_directories(${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}/targets/x86_64-linux/lib)
-
-add_executable(gpufetch ${COMMON_DIR}/main.cpp ${COMMON_DIR}/args.cpp ${COMMON_DIR}/gpu.cpp ${COMMON_DIR}/global.cpp ${COMMON_DIR}/printer.cpp)
-target_link_libraries(cuda_backend cudart nvidia-ml)
-target_link_libraries(gpufetch cuda_backend)
-
-install(TARGETS gpufetch DESTINATION bin)
diff --git a/README.md b/README.md
index 9028a77..50479e5 100644
--- a/README.md
+++ b/README.md
@@ -57,4 +57,4 @@ specifying "nvidia", or specifying the colors in RGB format:
 In the case of setting the colors using RGB, 4 colors must be given in with the format: ``[R,G,B:R,G,B:R,G,B:R,G,B]``. These colors correspond to GPU art color (2 colors) and for the text colors (following 2). Thus, you can customize all the colors.
 
 # 4. Bugs or improvements
-See [gpufetch contributing guidelines](https://github.com/Dr-Noob/gpufetch/CONTRIBUTING.md)
+See [gpufetch contributing guidelines](https://github.com/Dr-Noob/gpufetch/blob/master/CONTRIBUTING.md)
diff --git a/build.sh b/build.sh
deleted file mode 100755
index f43574d..0000000
--- a/build.sh
+++ /dev/null
@@ -1,17 +0,0 @@
-#!/bin/bash
-
-# gpufetch build script
-set -e
-
-rm -rf build/ gpufetch
-mkdir build/
-cd build/
-
-# In case you have CUDA installed but it is not detected,
-# - set CMAKE_CUDA_COMPILER to your nvcc binary:
-# - set CMAKE_CUDA_COMPILER_TOOLKIT_ROOT to the CUDA root dir
-cmake -DCMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc -DCMAKE_CUDA_COMPILER_TOOLKIT_ROOT=/usr/local/cuda/ ..
-#cmake ..
-make -j$(nproc)
-cd -
-ln -s build/gpufetch .