diff --git a/public/static/docs/changelog/0.18.md b/public/static/docs/changelog/0.18.md
index 6602052fb8..984691e3a9 100644
--- a/public/static/docs/changelog/0.18.md
+++ b/public/static/docs/changelog/0.18.md
@@ -41,7 +41,7 @@ really excited to share the progress with you:
fixes and other things you can check in the complete
[changelog](https://github.com/iterative/dvc/releases).
-Please use the discussion forum [discuss.dvc.org](discuss.dvc.org) and
+Please use the discussion forum [discuss.dvc.org](https://discuss.dvc.org) and
[issue tracker]() and don't hesitate to [⭐](https://github.com/iterative/dvc)
the [DVC repository](https://github.com/iterative/dvc) if you haven't yet. We
are waiting for your feedback!
diff --git a/public/static/docs/command-reference/gc.md b/public/static/docs/command-reference/gc.md
index 2aa9bc85ca..4ba6cf11ab 100644
--- a/public/static/docs/command-reference/gc.md
+++ b/public/static/docs/command-reference/gc.md
@@ -45,9 +45,9 @@ restored using `dvc fetch`, as long as they have previously been uploaded with
- `-p`, `--projects` - if a single remote or a single cache is shared among
different projects (e.g. a configuration like the one described
- [here](/doc/use-cases/shared-development-server.md)), this option can be used
- to specify a list of them (each project is a path) to keep data that is
- currently referenced from them.
+ [here](/doc/use-cases/shared-development-server)), this option can be used to
+ specify a list of them (each project is a path) to keep data that is currently
+ referenced from them.
- `-c`, `--cloud` - also remove files in the default remote storage. _This
operation is dangerous._ It removes datasets, models, other files that are not
diff --git a/public/static/docs/command-reference/metrics/show.md b/public/static/docs/command-reference/metrics/show.md
index d72632a3bc..a41c783d2b 100644
--- a/public/static/docs/command-reference/metrics/show.md
+++ b/public/static/docs/command-reference/metrics/show.md
@@ -102,7 +102,7 @@ extension.)
## Examples
-Examples in [add](/doc/command-reference/metric/add),
+Examples in [add](/doc/command-reference/metrics/add),
[modify](/doc/command-reference/metrics/modify), and
[remove](/doc/command-reference/metrics/remove) cover most of the basic cases
for the `dvc metrics show`.
diff --git a/public/static/docs/command-reference/run.md b/public/static/docs/command-reference/run.md
index 7c95379405..0148e4402d 100644
--- a/public/static/docs/command-reference/run.md
+++ b/public/static/docs/command-reference/run.md
@@ -49,8 +49,8 @@ Note that `dvc repro` provides an interface to check state and reproduce this
graph (pipeline) later. This concept is similar to the one of the
[Make](https://www.gnu.org/software/make/) in software build automation, but DVC
captures data and caches relevant data artifacts along
-the way. See [this example](/doc/get-started/example-pipeline) to learn more and
-try creating a pipeline.
+the way. See [this tutorial](/doc/tutorials/pipelines) to learn more and try
+creating a pipeline.
### Avoiding unexpected behavior
diff --git a/public/static/docs/get-started/index.md b/public/static/docs/get-started/index.md
index 0d4a27a629..6c032f690d 100644
--- a/public/static/docs/get-started/index.md
+++ b/public/static/docs/get-started/index.md
@@ -20,5 +20,5 @@ improve this [documentation](https://github.com/iterative/dvc.org) 🙏.
When you're done, feel free to check out official and community
[tutorials](/doc/tutorials). They provide in-depth explanations,
-[interactive](doc/tutorials/interactive) scenarios, and various examples on how
+[interactive](/doc/tutorials/interactive) scenarios, and various examples on how
DVC can be used.
diff --git a/public/static/docs/tutorials/community.md b/public/static/docs/tutorials/community.md
index 1c0eaa417a..3050d1391a 100644
--- a/public/static/docs/tutorials/community.md
+++ b/public/static/docs/tutorials/community.md
@@ -4,7 +4,7 @@ Blog posts from the community which show how they use DVC in their ML scenarios:
- [Creating reproducible data science workflows with DVC](https://medium.com/y-data-stories/creating-reproducible-data-science-workflows-with-dvc-3bf058e9797b)
-- [Creating an awesome project using DVC and DAGsHub](https://dagshub.com/docs/overview/)
+- [Creating an awesome project using DVC and DAGsHub](https://dagshub.com)
- [Using DVC to create an efficient version control system for data projects](https://medium.com/qonto-engineering/using-dvc-to-create-an-efficient-version-control-system-for-data-projects-96efd94355fe)