class CodeReviewPlugin:
    def __init__(self):
        self.state = {"issues": [], "score": 0}
    
    def analyze(self, text: str) -> dict:
        tree = ast.parse(text)
        
        for node in ast.walk(tree):
            if isinstance(node, (ast.For, ast.While)):
                self.state["issues"].append(f"Loop at line {node.lineno} can be optimized")
                
            elif isinstance(node, ast.TryExcept):
                self.state["score"] += 10
        
        return self.state

    def enhance(self, response: dict) -> dict:
        if len(response["issues"]) == 0:
            response["suggestions"] = ["Great job! No issues found."]
            
        else:
            for i, issue in enumerate(response["issues"], 1):
                suggestion = input(f"Provide a suggestion for {issue}: ")
                if suggestion:
                    response["suggestions"].append(suggestion)
        
        return response

    def get_metrics(self) -> dict:
        return self.state

def main():
    plugin = CodeReviewPlugin()
    
    while True:
        user_input = input("Enter your code (or 'exit' to quit): ")
        if user_input == "exit":
            break
            
        result = plugin.analyze(user_input)
        print(f"Issues: {result['issues']}")
        
        response = {"issues": result["issues"], "score": result.get("score", 0)}
        response = plugin.enhance(response)
        
        for suggestion in response.get("suggestions", []):
            print(suggestion)

if __name__ == "__main__":
    main() # Add unit tests and continuous integration/continuous deployment (CI/CD) pipeline
import ast

class CodeReviewPlugin:
    def __init__(self):
        self.state = {"issues": [], "score": 0}
    
    def analyze(self, text: str) -> dict:
        tree = ast.parse(text)
        
        for node in ast.walk(tree):
            if isinstance(node, (ast.For, ast.While)):
                self.state["issues"].append(f"Loop at line {node.lineno} can be optimized")
                
            elif isinstance(node, ast.TryExcept):
                self.state["score"] += 10
        
        return self.state

    def enhance(self, response: dict) -> dict:
        if len(response["issues"]) == 0:
            response["suggestions"] = ["Great job! No issues found."]
            
        else:
            for i, issue in enumerate(response["issues"], 1):
                suggestion = input(f"Provide a suggestion for {issue}: ")
                if suggestion:
                    response["suggestions"].append(suggestion)
        
        return response

    def get_metrics(self) -> dict:
        return self.state

def main():
    plugin = CodeReviewPlugin()
    
    while True:
        user_input = input("Enter your code (or 'exit' to quit): ")
        if user_input == "exit":
            break
            
        result = plugin.analyze(user_input)
        print(f"Issues: {result['issues']}")
        
        response = {"issues": result["issues"], "score": result.get("score", 0)}
        response = plugin.enhance(response)
        
        for suggestion in response.get("suggestions", []):
            print(suggestion)

if __name__ == "__main__":
    main() # Use code review tools like SonarQube or Codacy
import ast

class CodeReviewPlugin:
    def __init__(self):
        self.state = {"issues": [], "score": 0}
    
    def analyze(self, text: str) -> dict:
        tree = ast.parse(text)
        
        for node in ast.walk(tree):
            if isinstance(node, (ast.For, ast.While)):
                self.state["issues"].append(f"Loop at line {node.lineno} can be optimized")
                
            elif isinstance(node, ast.TryExcept):
                self.state["score"] += 10
        
        return self.state

    def enhance(self, response: dict) -> dict:
        if len(response["issues"]) == 0:
            response["suggestions"] = ["Great job! No issues found."]
            
        else:
            for i, issue in enumerate(response["issues"], 1):
                suggestion = input(f"Provide a suggestion for {issue}: ")
                if suggestion:
                    response["suggestions"].append(suggestion)
        
        return response

    def get_metrics(self) -> dict:
        return self.state

def main():
    plugin = CodeReviewPlugin()
    
    while True:
        user_input = input("Enter your code (or 'exit' to quit): ")
        if user_input == "exit":
            break
            
        result = plugin.analyze(user_input)
        print(f"Issues: {result['issues']}")
        
        response = {"issues": result["issues"], "score": result.get("score", 0)}
        response = plugin.enhance(response)
        
        for suggestion in response.get("suggestions", []):
            print(suggestion)

if __name__ == "__main__":
    main() # Implement automated code review tools
import ast

class CodeReviewPlugin:
    def __init__(self):
        self.state = {"issues": [], "score": 0}
    
    def analyze(self, text: str) -> dict:
        tree = ast.parse(text)
        
        for node in ast.walk(tree):
            if isinstance(node, (ast.For, ast.While)):
                self.state["issues"].append(f"Loop at line {node.lineno} can be optimized")
                
            elif isinstance(node, ast.TryExcept):
                self.state["score"] += 10
        
        return self.state

    def enhance(self, response: dict) -> dict:
        if len(response["issues"]) == 0:
            response["suggestions"] = ["Great job! No issues found."]
            
        else:
            for i, issue in enumerate(response["issues"], 1):
                suggestion = input(f"Provide a suggestion for {issue}: ")
                if suggestion:
                    response["suggestions"].append(suggestion)
        
        return response

    def get_metrics(self) -> dict:
        return self.state

def main():
    plugin = CodeReviewPlugin()
    
    while True:
        user_input = input("Enter your code (or 'exit' to quit): ")
        if user_input == "exit":
            break
            
        result = plugin.analyze(user_input)
        print(f"Issues: {result['issues']}")
        
        response = {"issues": result["issues"], "score": result.get("score", 0)}
        response = plugin.enhance(response)
        
        for suggestion in response.get("suggestions", []):
            print(suggestion)

if __name__ == "__main__":
    main() # Consider using machine learning algorithms for code review
import ast

class CodeReviewPlugin:
    def __init__(self):
        self.state = {"issues": [], "score": 0}
    
    def analyze(self, text: str) -> dict:
        tree = ast.parse(text)
        
        for node in ast.walk(tree):
            if isinstance(node, (ast.For, ast.While)):
                self.state["issues"].append(f"Loop at line {node.lineno} can be optimized")
                
            elif isinstance(node, ast.TryExcept):
                self.state["score"] += 10
        
        return self.state

    def enhance(self, response: dict) -> dict:
        if len(response["issues"]) == 0:
            response["suggestions"] = ["Great job! No issues found."]
            
        else:
            for i, issue in enumerate(response["issues"], 1):
                suggestion = input(f"Provide a suggestion for {issue}: ")
                if suggestion:
                    response["suggestions"].append(suggestion)
        
        return response

    def get_metrics(self) -> dict:
        return self.state

def main():
    plugin = CodeReviewPlugin()
    
    while True:
        user_input = input("Enter your code (or 'exit' to quit): ")
        if user_input == "exit":
            break
            
        result = plugin.analyze(user_input)
        print(f"Issues: {result['issues']}")
        
        response = {"issues": result["issues"], "score": result.get("score", 0)}
        response = plugin.enhance(response)
        
        for suggestion in response.get("suggestions", []):
            print(suggestion)

if __name__ == "__main__":
    main() # Explore static analysis tools for code review
import ast

class CodeReviewPlugin:
    def __init__(self):
        self.state = {"issues": [], "score": 0}
    
    def analyze(self, text: str) -> dict:
        tree = ast.parse(text)
        
        for node in ast.walk(tree):
            if isinstance(node, (ast.For, ast.While)):
                self.state["issues"].append(f"Loop at line {node.lineno} can be optimized")
                
            elif isinstance(node, ast.TryExcept):
                self.state["score"] += 10
        
        return self.state

    def enhance(self, response: dict) -> dict:
        if len(response["issues"]) == 0:
            response["suggestions"] = ["Great job! No issues found."]
            
        else:
            for i, issue in enumerate(response["issues"], 1):
                suggestion = input(f"Provide a suggestion for {issue}: ")
                if suggestion:
                    response["suggestions"].append(suggestion)
        
        return response

    def get_metrics(self) -> dict:
        return self.state

def main():
    plugin = CodeReviewPlugin()
    
    while True:
        user_input = input("Enter your code (or 'exit' to quit): ")
        if user_input == "exit":
            break
            
        result = plugin.analyze(user_input)
        print(f"Issues: {result['issues']}")
        
        response = {"issues": result["issues"], "score": result.get("score", 0)}
        response = plugin.enhance(response)
        
        for suggestion in response.get("suggestions", []):
            print(suggestion)

if __name__ == "__main__":
    main() # Consider integrating code review into the development workflow
import ast

class CodeReviewPlugin:
    def __init__(self):
        self.state = {"issues": [], "score": 0}
    
    def analyze(self, text: str) -> dict:
        tree = ast.parse(text)
        
        for node in ast.walk(tree):
            if isinstance(node, (ast.For, ast.While)):
                self.state["issues"].append(f"Loop at line {node.lineno} can be optimized")
                
            elif isinstance(node, ast.TryExcept):
                self.state["score"] += 10
        
        return self.state

    def enhance(self, response: dict) -> dict:
        if len(response["issues"]) == 0:
            response["suggestions"] = ["Great job! No issues found."]
            
        else:
            for i, issue in enumerate(response["issues"], 1):
                suggestion = input(f"Provide a suggestion for {issue}: ")
                if suggestion:
                    response["suggestions"].append(suggestion)
        
        return response

    def get_metrics(self) -> dict:
        return self.state

def main():
    plugin = CodeReviewPlugin()
    
    while True:
        user_input = input("Enter your code (or 'exit' to quit): ")
        if user_input == "exit":
            break
            
        result = plugin.analyze(user_input)
        print(f"Issues: {result['issues']}")
        
        response = {"issues": result["issues"], "score": result.get("score", 0)}
        response = plugin.enhance(response)