docs(readme): tidy attribution section

Christian Rocha created 1 month ago

Change summary

README.md | 54 ++++++++++++++++++++----------------------------------
1 file changed, 20 insertions(+), 34 deletions(-)

Detailed changes

README.md

@@ -173,40 +173,6 @@ $HOME/.local/share/crush/crush.json
 %LOCALAPPDATA%\crush\crush.json
 ```
 
-### Attribution Settings
-
-By default, Crush adds attribution information to Git commits and pull requests
-it creates. You can customize this behavior with the `attribution` option:
-
-```json
-{
-  "$schema": "https://charm.land/crush.json",
-  "options": {
-    "attribution": {
-      "co_authored_by": true,
-      "generated_with": true
-    }
-  }
-}
-```
-
-- `co_authored_by`: When true (default), adds `Co-Authored-By: Crush <[e-mail]>` to commit messages
-- `generated_with`: When true (default), adds `💘 Generated with Crush` line to commit messages and PR descriptions
-
-To disable all attribution, set both options to false:
-
-```json
-{
-  "$schema": "https://charm.land/crush.json",
-  "options": {
-    "attribution": {
-      "co_authored_by": false,
-      "generated_with": false
-    }
-  }
-}
-```
-
 ### LSPs
 
 Crush can use LSPs for additional context to help inform its decisions, just
@@ -304,6 +270,26 @@ permissions. Use this with care.
 You can also skip all permission prompts entirely by running Crush with the
 `--yolo` flag. Be very, very careful with this feature.
 
+### Attribution Settings
+
+By default, Crush adds attribution information to Git commits and pull requests
+it creates. You can customize this behavior with the `attribution` option:
+
+```json
+{
+  "$schema": "https://charm.land/crush.json",
+  "options": {
+    "attribution": {
+      "co_authored_by": true,
+      "generated_with": true
+    }
+  }
+}
+```
+
+- `co_authored_by`: When true (default), adds `Co-Authored-By: Crush <[e-mail]>` to commit messages
+- `generated_with`: When true (default), adds `💘 Generated with Crush` line to commit messages and PR descriptions
+
 ### Local Models
 
 Local models can also be configured via OpenAI-compatible API. Here are two common examples: