AI Code Assistant: Boost Your Programming Efficiency by 10x
A code assistant based on the LLM API can understand the context of the code, generate high-quality code, discover potential problems, and become a powerful assistant for developers.
Core Feature Implementation
class CodeAssistant:
def __init__(self, llm_api):
self.llm = llm_api
self.language_parsers = {
'python': PythonParser(),
'javascript': JSParser(),
'java': JavaParser()
}
def generate_code(self, description, language='python'):
prompt = f"""
Generate {language} code for:
{description}
Requirements:
- Clean and readable code
- Include error handling
- Add comments
"""
code = self.llm.generate(prompt, temperature=0.3)
return self.format_code(code, language)
def review_code(self, code):
issues = []
# Security check
security_issues = self.check_security(code)
issues.extend(security_issues)
# Performance analysis
performance_issues = self.analyze_performance(code)
issues.extend(performance_issues)
# Code quality
quality_issues = self.check_quality(code)
issues.extend(quality_issues)
return issues
def fix_bug(self, code, error_message):
prompt = f"""
Fix this code:
{code}
Error: {error_message}
Provide corrected code:
"""
fixed_code = self.llm.generate(prompt)
return fixed_codeSupported Programming Languages
🐍
Python
☕
Java
📜
JavaScript
⚛️
TypeScript
Actual Application Results
60%
Reduction in development time
45%
Reduction in bugs
80%
Improvement in code quality
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Quickly build an intelligent code assistant using the LLM API to improve your team's development efficiency.
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