Add debug documentation

docs/source/UsingXeus-Cpp.rst

@@ -9,7 +9,3 @@ Using xeus-cpp
   xeus-cpp. Thereby you can write and execute C++ code interactively in
   this environment.
 
-- Jupyter notebooks support magic commands (**%%python**) and inline code
-  execution for different languages. We use these features to run Python and C++
-  code in separate cells to achieve interactive communication between them.
-

docs/source/debug.rst

@@ -0,0 +1,35 @@
+Debugging and Testing
+--------------------
+
+Debugging
+========================
+
+These steps are performed using the GNU Debugger (GDB), so ensure it is installed in your environment. Then execute the command to build the project.
+
+.. code-block:: bash
+
+    cmake -D CMAKE_BUILD_TYPE=Debug ..
+
+In the same folder, run the command and copy the JSON displayed in the terminal.
+
+.. code-block:: bash
+
+    xcpp
+
+Save the JSON in a new file in any folder. Before proceeding to the next step, ensure that Jupyter Console is installed in the environment. Open a new terminal and run the command in the folder where the JSON file is located.
+
+.. code-block:: bash
+
+    jupyter console --existing yourJSONFile.json
+
+Open a new terminal, navigate to the build directory, and run GDB to start debugging.
+
+.. code-block:: bash
+
+    gdb xcpp
+
+
+Testing
+========================
+
+The testing code for the source files is located in `test/test_interpreter.cpp`. Write the necessary tests and build the project as described in the repository's README or contributing guidelines. Then, execute `build/test/test_xeus_cpp` to verify if the tests were successful.

docs/source/index.rst

@@ -35,6 +35,7 @@ The Xeus-Cpp is a Jupyter kernel for the C++ programming language
    UsingXeus-Cpp
    tutorials
    dev-build-options
+   debug
    FAQ
    reference