AI Code Optimization Assistant

This project aims to assist software developers with refactoring and improving code quality using AI Agents.

Overview

The assistant takes Python code as input and generates suggestions to refactor the code to improve readability, maintainability, performance etc. It goes through multiple stages:

Code Analysis

Parses the code into an abstract syntax tree (AST)
Performs static analysis to gather metrics like cyclomatic complexity, code smells etc.
Extracts design patterns used

Suggest Refactoring

Analyzes the AST and metrics to suggest refactoring opportunities
Applies heuristics and ML models to provide intelligent recommendations
Provides interactive feedback loop for developers to guide refactoring

Code Generation

Applies suggested refactoring transformations on the AST
Generates refactored Python code

Testing & Validation

Automated unit and integration testing to ensure functionality is preserved
Regression testing against original test suite
Benchmarking and profiling to validate performance gains
Secondary AI review for quality and discrepancy detection
Manual approval and tweaking by experienced developers

Architecture

graph TB
    A[Python Code] --> B[Code Analysis]
    B --> C{Design Patterns and Refactoring Suggestions with Feedback System}
    C -- AI Refactoring --> D[Code Generation]
    C -- Manual Refactoring --> D
    D --> E[Secondary AI Review]
    E --> F{Testing}
    F -- Test Pass --> G[Benchmarking]
    F -- Test Fail --> H{Fix Issues and Repeat Testing}
    H -- Fixed --> F
    H -- Unfixable Issue --> I[Report Issue]
    G --> J{Human Review}
    J -- Approval --> K[Deploy]
    J -- Rejection --> I

Getting Started

Prerequisites

Python 3.6+
AST parsing libraries like ast
Static analysis libraries like radon
Testing framework like unittest

sharozhaseeb / CodeOptimizeAgent