Early returns in Python
Use early returns to reduce nesting levels. Instead of wrapping large code blocks in conditional statements, return early when conditions are not met.
Bad:
```python
def process_user(user):
if user is not None:
if user.is_active:
# Many lines of processing code
Install this rule for wispbit
Add this rule to wispbit and it will run when you open a pull request
Install this rule for Coderabbit
Copy the configuration below and add it to your repository as .coderabbit.yml
in your project root.
reviews:
path_instructions:
- path: "*.py"
instructions: |
Use early returns to reduce nesting levels. Instead of wrapping large code blocks in conditional statements, return early when conditions are not met.
Bad:
```python
def process_user(user):
if user is not None:
if user.is_active:
# Many lines of processing code
result = perform_complex_operation(user)
return result
return None
```
Good:
```python
def process_user(user):
if user is None:
return None
if not user.is_active:
return None
# Now we can work with user without nesting
# Many lines of processing code
result = perform_complex_operation(user)
return result
```
Install this rule for Greptile
Greptile rules can be added through the web interface. Please see this documentation for details on how to add custom rules and context.
Use early returns to reduce nesting levels. Instead of wrapping large code blocks in conditional statements, return early when conditions are not met.
Bad:
```python
def process_user(user):
if user is not None:
if user.is_active:
# Many lines of processing code
result = perform_complex_operation(user)
return result
return None
```
Good:
```python
def process_user(user):
if user is None:
return None
if not user.is_active:
return None
# Now we can work with user without nesting
# Many lines of processing code
result = perform_complex_operation(user)
return result
```
File Path Patterns:
Install this rule for GitHub Copilot
Copilot instructions can be added through the interface. See the documentation for details on how to create coding guidelines.
Use early returns to reduce nesting levels. Instead of wrapping large code blocks in conditional statements, return early when conditions are not met.
Bad:
```python
def process_user(user):
if user is not None:
if user.is_active:
# Many lines of processing code
result = perform_complex_operation(user)
return result
return None
```
Good:
```python
def process_user(user):
if user is None:
return None
if not user.is_active:
return None
# Now we can work with user without nesting
# Many lines of processing code
result = perform_complex_operation(user)
return result
```
File Path Patterns:
Install this rule for Graphite Diamond
Diamond custom rules can be added through the interface. See the documentation for details on how to create custom rules.
Use early returns to reduce nesting levels. Instead of wrapping large code blocks in conditional statements, return early when conditions are not met.
Bad:
```python
def process_user(user):
if user is not None:
if user.is_active:
# Many lines of processing code
result = perform_complex_operation(user)
return result
return None
```
Good:
```python
def process_user(user):
if user is None:
return None
if not user.is_active:
return None
# Now we can work with user without nesting
# Many lines of processing code
result = perform_complex_operation(user)
return result
```
File Path Patterns:
Use with Cline
Copy the rule below and ask Cline to review your code using this rule
Use early returns to reduce nesting levels. Instead of wrapping large code blocks in conditional statements, return early when conditions are not met.
Bad:
```python
def process_user(user):
if user is not None:
if user.is_active:
# Many lines of processing code
result = perform_complex_operation(user)
return result
return None
```
Good:
```python
def process_user(user):
if user is None:
return None
if not user.is_active:
return None
# Now we can work with user without nesting
# Many lines of processing code
result = perform_complex_operation(user)
return result
```
Use with OpenAI Codex
Copy the rule below and ask OpenAI Codex to review your code using this rule
Use early returns to reduce nesting levels. Instead of wrapping large code blocks in conditional statements, return early when conditions are not met.
Bad:
```python
def process_user(user):
if user is not None:
if user.is_active:
# Many lines of processing code
result = perform_complex_operation(user)
return result
return None
```
Good:
```python
def process_user(user):
if user is None:
return None
if not user.is_active:
return None
# Now we can work with user without nesting
# Many lines of processing code
result = perform_complex_operation(user)
return result
```
Use with Cursor
Copy the rule below and ask Cursor to review your code using this rule
Use early returns to reduce nesting levels. Instead of wrapping large code blocks in conditional statements, return early when conditions are not met.
Bad:
```python
def process_user(user):
if user is not None:
if user.is_active:
# Many lines of processing code
result = perform_complex_operation(user)
return result
return None
```
Good:
```python
def process_user(user):
if user is None:
return None
if not user.is_active:
return None
# Now we can work with user without nesting
# Many lines of processing code
result = perform_complex_operation(user)
return result
```
Use with Claude Code
Copy the rule below and ask Claude Code to review your code using this rule
Use early returns to reduce nesting levels. Instead of wrapping large code blocks in conditional statements, return early when conditions are not met.
Bad:
```python
def process_user(user):
if user is not None:
if user.is_active:
# Many lines of processing code
result = perform_complex_operation(user)
return result
return None
```
Good:
```python
def process_user(user):
if user is None:
return None
if not user.is_active:
return None
# Now we can work with user without nesting
# Many lines of processing code
result = perform_complex_operation(user)
return result
```
Install this rule for Windsurf
To set up rules for Windsurf Reviews, please see this documentation
Use early returns to reduce nesting levels. Instead of wrapping large code blocks in conditional statements, return early when conditions are not met.
Bad:
```python
def process_user(user):
if user is not None:
if user.is_active:
# Many lines of processing code
result = perform_complex_operation(user)
return result
return None
```
Good:
```python
def process_user(user):
if user is None:
return None
if not user.is_active:
return None
# Now we can work with user without nesting
# Many lines of processing code
result = perform_complex_operation(user)
return result
```