diff --git a/README.rst b/README.rst
index a24769c..16d5b89 100644
--- a/README.rst
+++ b/README.rst
@@ -11,9 +11,11 @@ use of curves, surfaces and volumes. The library is designed primarily for
 analysis use, and therefore allows fine-grained control over many aspects which
 is not possible to achieve with conventional CAD tools.
 
+
 Installation
 ------------
-The library is packaged on splipy and can be installed through pip by simply running ::
+The library is packaged on PyPI and can be installed through pip by simply
+running ::
 
     pip install splipy
 
@@ -31,32 +33,24 @@ Resources
 Development and building from source
 ====================================
 
-Dependencies
-------------
-
-**Required**
-
-This library requires numpy and scipy. For building, cython is also
-required. E.g. on Ubuntu::
+Poetry
+------
 
-    pip install numpy
-    pip install scipy
-    pip install cython
+Splipy uses Poetry as a project management tool. To install poetry, use::
 
-**Optional**
+    pip install poetry
 
-To use image processing tools, you need OpenCV ::
+Poetry is the only tool that must be installed outside of the virtual
+environment for Splipy. Once installed, run the command::
 
-    pip install python-opencv
+    make install
 
-To generate the documentation you will need Sphinx::
+in the root Splipy directory. This will install Splipy and its dependencies in a
+virtual environment located in the ``.venv`` directory.
 
-    pip install sphinx
+To run the tests::
 
-And to run the tests you can use your favourite test runner, for example
-pytest::
-
-    pip install pytest pytest-benchmark pytest-cov
+    make pytest
 
 
 Installing
@@ -64,20 +58,23 @@ Installing
 
 To install, use::
 
-    python setup.py build_ext --inplace
-    python setup.py install
+    pip install .
+
+To generate a package (source distribution or wheel), use::
 
-To generate a package, use::
+    poetry build -f sdist
+    poetry build -f wheel
 
-    python setup.py sdist --dist-dir .
+Don't upload wheels to PyPI manually. They are built by CI runners whenever a
+new version is tagged (see below).
 
 
 Documentation
 -------------
 
-To generate the documentation, run in the `doc` folder::
+To generate the documentation, run::
 
-    make html
+    make doc
 
 To push generated docs online on the ``gh-pages`` branch, run the helper script::
 
@@ -89,27 +86,28 @@ where ``remote`` is the name of the remote to push to. If not given, it will be
 Tests
 -----
 
-To run the tests, you can use your favourite test runner. For example, with
-pytest::
+To run the tests, use::
 
-    PYTHONPATH=. py.test --benchmark-skip
+    make pytest
 
-To get a report of test coverage, run::
+For benchmarks::
+
+    make bench
 
-    PYTHONPATH=. py.test --benchmark-skip --cov=splipy --cov-report term-missing
 
 Code analysis
 -------------
+
 You can use pylint3 to perform static code analysis on the module.
 This can help identify bugs and give suggestions for improvements.
 
 To install, use::
 
-    pip3 install pylint
+    poetry run pip install pylint
 
 To perform the code analysis, use::
 
-    pylint -d C --rcfile=pylint.cfg splipy/
+    poetry run pylint -d C --rcfile=pylint.cfg splipy/
 
 
 Releasing
@@ -125,10 +123,8 @@ number, create a commit and a tag. To push this to github, use::
 
     git push --tags
 
-After that, Travis CI should automatically build and deploy the
-packages to PyPi. It would be helpful to monitor the Travis build so
-that errors can be fixed quickly. See the `list of builds
-<https://travis-ci.org/sintefmath/Splipy/builds>`_.
+After that, CI should automatically build and deploy the packages to pyPi. It
+would be helpful to monitor the actions so that errors can be fixed quickly.
 
 
 =========