docs(validation): update single code blocks to title

Author: heitorlessa

docs/utilities/typing.md

@@ -11,13 +11,11 @@ This typing utility provides static typing classes that can be used to ease the
 
 The `LambdaContext` typing is typically used in the handler method for the Lambda function.
 
-=== "index.py"
+```python hl_lines="4" title="Annotating Lambda context type"
+from typing import Any, Dict
+from aws_lambda_powertools.utilities.typing import LambdaContext
 
-    ```python hl_lines="4"
-    from typing import Any, Dict
-    from aws_lambda_powertools.utilities.typing import LambdaContext
-
-    def handler(event: Dict[str, Any], context: LambdaContext) -> Dict[str, Any]:
-        # Insert business logic
-        return event
-    ```
+def handler(event: Dict[str, Any], context: LambdaContext) -> Dict[str, Any]:
+	# Insert business logic
+	return event
+```

docs/utilities/validation.md

@@ -186,16 +186,14 @@ Envelope name | JMESPath expression
 
 JSON Schemas with custom formats like `int64` will fail validation. If you have these, you can pass them using `formats` parameter:
 
-=== "custom_json_schema_type_format.json"
-
-    ```json
-    {
-        "lastModifiedTime": {
-            "format": "int64",
-            "type": "integer"
-        }
-    }
-    ```
+```json title="custom_json_schema_type_format.json"
+{
+	"lastModifiedTime": {
+		"format": "int64",
+		"type": "integer"
+	}
+}
+```
 
 For each format defined in a dictionary key, you must use a regex, or a function that returns a boolean to instruct the validator on how to proceed when encountering that type.