The JIT's `theory`_ is great in principle, but the actual code is a different
story. This section tries to give a high level overview of how PyPy's JIT is
-implemented. It's helpful to have an understanding of how the PyPy `translation
-tool chain`_ works before digging into the sources.
+implemented. It's helpful to have an understanding of how the `RPython translation
+toolchain`_ works before digging into the sources.
Almost all JIT specific code is found in pypy/jit subdirectories. Translation
time code is in the codewriter directory. The metainterp directory holds
the backend directory is responsible for generating machine code.
.. _`theory`: overview.html
-.. _`translation tool
+.. _`translation toolchain`: ../translation.html