diff --git a/docs/source/contribute/cpp_debugger.md b/docs/source/contribute/cpp_debugger.md
index 12d82a61d98..899725c8621 100644
--- a/docs/source/contribute/cpp_debugger.md
+++ b/docs/source/contribute/cpp_debugger.md
@@ -45,11 +45,15 @@ files you want to debug. All other source files are built and optimized as usual
 We suggest the following steps:
 
 1. Identify the source file you want to debug.
-1. Build that file with debug symbols using a command similar to `USE_CUSTOM_DEBINFO="aten/src/ATen/native/Linear.cpp" python setup.py develop`.
+1. Build that file with debug symbols using a command similar to
+
+   `USE_CUSTOM_DEBINFO="aten/src/ATen/native/Linear.cpp" python -m pip install --no-build-isolation -v -e .`
 1. Set a breakpoint and start a debugger session. As you debug you will discover
    additional files you want to debug.
 1. Add those files to the `USE_CUSTOM_DEBINFO` environment variable.
-1. Rebuild with a command similar to `USE_CUSTOM_DEBINFO="aten/src/ATen/native/Linear.cpp;newfile.cpp" python setup.py develop`.
+1. Rebuild with a command similar to
+
+   `USE_CUSTOM_DEBINFO="aten/src/ATen/native/Linear.cpp;newfile.cpp" python -m pip install --no-build-isolation -v -e .`
 1. Start your debugger session again.
 
 At this point, your PyTorch is built with debugging symbols and ready to debug
@@ -62,7 +66,7 @@ For PyTorch, we recommend you do a full clean and rebuild each time.
 Unfortunately, touching a file to update its timestamp does not reliably cause
 that file to be rebuilt.
 
-In the output of the `python setup.py develop` command, look for a line that
+In the output of the `python -m pip install --no-build-isolation -v -e .` command, look for a line that
 starts with `Source files with custom debug infos` to make sure your file was
 built with debug symbols. For example:
 
@@ -188,7 +192,7 @@ settings turns off building CUDA and turns on handling an environment variable
 to print dispatcher traces.
 
 ``` sh
-USE_CUSTOM_DEBINFO="aten/src/ATen/native/Linear.cpp" USE_CUDA=0 LD_LIBRARY_PATH=/home/USERNAME/miniconda3/envs/torch310/lib CFLAGS="-DHAS_TORCH_SHOW_DISPATCH_TRACE" python setup.py develop
+USE_CUSTOM_DEBINFO="aten/src/ATen/native/Linear.cpp" USE_CUDA=0 LD_LIBRARY_PATH=/home/USERNAME/miniconda3/envs/torch310/lib CFLAGS="-DHAS_TORCH_SHOW_DISPATCH_TRACE" python -m pip install --no-build-isolation -v -e .
 ```
 
 ## Future Work