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taraojo · Mar 30, 2023 · 6b96460 · 6b96460
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diff --git a/website/docs/docs/quickstarts/dbt-core/codespace-qs.md b/website/docs/docs/quickstarts/dbt-core/codespace-qs.md
@@ -60,7 +60,7 @@ If you'd like to work with a larger selection of Jaffle Shop data, you can gener
     ```shell
     /workspaces/test (main) $ jafgen --years NUMBER_OF_YEARS
     ``` 
-    Replace `NUMBER_OF_YEARS` with the number of years you want to simulate. This command builds the CSV files and stores them in the `jaffle-data` folder, and is automatically sourced based on the `sources.yml` file and the `dbt-duckdb` adapter.
+    Replace `NUMBER_OF_YEARS` with the number of years you want to simulate. This command builds the CSV files and stores them in the `jaffle-data` folder, and is automatically sourced based on the `sources.yml` file and the [dbt-duckdb](/reference/warehouse-setups/duckdb-setup) adapter.
 
 As you increase the number of years, it takes exponentially more time to generate the data because the Jaffle Shop stores grow in size and number. For a good balance of data size and time to build, dbt Labs suggests a maximum of 6 years.
 

diff --git a/website/docs/docs/quickstarts/overview.md b/website/docs/docs/quickstarts/overview.md
@@ -44,7 +44,7 @@ Before you begin, you will need:
 
 <Card
     title="Quickstart for dbt Core using GitHub Codespaces"
-    body="Learn how to quickly start running dbt commands in a GitHub codespace development environment with just a couple clicks."
+    body="Learn how to quickly start running dbt commands in a GitHub codespace development environment with just a few clicks."
     link="/docs/quickstarts/dbt-core/codespace"
     icon="github-codespace"/>