diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index b4438df..b74219d 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -76,7 +76,7 @@ releasing.
 ### step 1
 
 Make sure the [unit tests][jltest] and [CircleCI integration tests][circlecI]
-are passing.
+are passing off the `dev` branch.
 
 ### step 2
 
@@ -89,7 +89,10 @@ For consistency, name the PR: "Release X.Y.Z"
 Bump the `version` field in the `Project.toml` (following [semver][semver]) and then
 
 ```sh
+git checkout dev
+git pull origin dev
 git commit -m "X.Y.Z"
+git push
 ```
 
 **N.B.** use `X.Y.Z` not `vX.Y.Z` in the commit message, the leading `v` is
@@ -131,8 +134,8 @@ git push --tags
 Go the [release page][releases] and create a new release,
 name it "Version X.Y.Z" for consistency and fill out sections:
 
-- _What's Changed_, which should include items for all the PRs merged since the last release
-- _New Contributor_, which should include mention of all the first-time contributors
+- (usually) _Added_, _Changed_, _Fixed_ while including links to the PRs merged since the last release
+- _New Contributor_, which should include mentions for all the first-time contributors
 
 finally, place a [GitHub compare link][compare] between the last release and X.Y.Z
 e.g. this [one][ex-diff].
diff --git a/README.md b/README.md
index cca6e4c..622e316 100644
--- a/README.md
+++ b/README.md
@@ -11,6 +11,11 @@ Built on top of Plotly.js, React and HTTP.jl, [Dash](https://plotly.com/dash/) t
 
 Just getting started? Check out the [Dash for Julia User Guide](https://dash.plotly.com/julia)! If you can't find documentation there, then check out the unofficial [contributed examples](https://github.com/plotly/Dash.jl/issues/50) or check out source code from [demo applications](https://dash.gallery) in Python and then reference the Julia syntax style.
 
+## Other resources
+
+* <https://community.plotly.com/c/plotly-r-matlab-julia-net/julia/23>
+* <https://discourse.julialang.org/tag/dash>
+
 ## Project Status
 
 Julia components can be generated in tandem with Python and R components. Interested in getting involved with the project? Sponsorship is a great way to accelerate the progress of open source projects like this one; please feel free to [reach out to us](https://plotly.com/consulting-and-oem/)!