Projects

Current Project

Debug®

Debug® is CURA®'s initial offering, an AI-driven code debugger designed to autonomously identify and fix bugs in your codebase. It supports multiple programming languages and integrates seamlessly with your existing development workflow.

Features

• Real-Time Bug Detection: Instantly identifies bugs as you code, providing immediate feedback.

• Automated Fixes: Applies fixes automatically without disrupting your workflow.

• Comprehensive Reporting: Provides detailed reports on identified issues and applied fixes, enhancing code transparency and quality.

• Multi-Language Support: Supports a wide range of programming languages, including Python, Rust, Go, and TypeScript.

• Seamless Integration: Integrates with popular IDEs and version control systems for a smooth development experience.

Code Example

//python

# Original Python function with a potential bug
def add_numbers(a, b):
    return a + b

# CURA®'s automated fix to handle undefined 'b'
def add_numbers(a, b=0):
    return a + b

// Original Rust function with a potential bug
fn divide(a: f64, b: f64) -> f64 {
    a / b
}

// CURA®'s automated fix to handle division by zero
fn divide(a: f64, b: f64) -> f64 {
    if b == 0.0 {
        println!("Warning: Division by zero detected. Returning 0.");
        0.0
    } else {
        a / b
    }
}

Future Projects

1. TAS® (Task Automation Suite) AKA (Thesis, Anti-Thesis, and Synthesis)

TAS® (Task Automation Suite) also known as Thesis, Anti-Thesis, and Synthesis. Is a suite of tools designed to further automate and enhance the code development process. It includes advanced optimization algorithms and integrates with various development environments to provide a seamless experience.

Features

• Automated Task Management: Streamlines task assignments and tracking within development teams.

• Advanced Optimization Algorithms: Enhances code performance through sophisticated optimization techniques.

• Integration with IDEs: Seamlessly integrates with popular Integrated Development Environments (IDEs) like VSCode, IntelliJ, and Eclipse.

• Continuous Learning: Continuously learns from codebases to improve optimization strategies over time.

• Custom Workflow Automation: Allows developers to create custom workflows tailored to their specific needs.

Code Example

// Example TypeScript function before optimization
function fetchData(url: string): Promise<any> {
    return fetch(url)
        .then(response => response.json())
        .catch(error => console.error('Error fetching data:', error));
}

// CURA®'s optimized function
async function fetchData(url: string): Promise<any> {
    try {
        const response = await fetch(url);
        return await response.json();
    } catch (error) {
        console.error('Error fetching data:', error);
        return null;
    }
}

THESIS, ANTI-THESIS, SYNTHESIS

These three AI agents work collaboratively to create the most advanced and well-rounded MEGA agent. They communicate and "think" autonomously to develop superior AI models without the need for human intervention.

• THESIS: Proposes innovative solutions based on existing code patterns and best practices.

• ANTI-THESIS: Critically analyzes and challenges proposed solutions to ensure robustness and reliability.

• SYNTHESIS: Combines the best elements from THESIS and ANTI-THESIS to create optimal solutions.

Features

• Collaborative AI Agents: THESIS, ANTI-THESIS, and SYNTHESIS work together to enhance code quality and optimization.

• Autonomous Learning: Continuously learns from new codebases and development practices to improve performance.

• Dynamic Problem Solving: Adapts to various coding challenges and environments, providing versatile solutions.

• Self-Evolving Models: AI agents evolve their strategies based on real-time feedback and results.

Code Example: Collaborative AI Agents

// # THESIS proposes a solution
def calculate_sum(a, b):
    return a + b

# ANTI-THESIS critiques the solution
def calculate_sum(a, b):
    if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
        raise ValueError("Inputs must be numeric.")
    return a + b

# SYNTHESIS combines both to create an optimized function
def calculate_sum(a, b):
    if not isinstance(a, (int, float)) or not isinstance(b, (int, float)):
        raise ValueError("Inputs must be numeric.")
    return a + b

2. Translator®

Translator® is CURA®'s smart contract translation tool, enabling effortless switching between Python, Rust, Go, and TypeScript. It ensures that your code is compatible across various platforms and blockchain networks.

Features

• Multi-Language Support: Seamlessly translates smart contracts between Python, Rust, Go, and TypeScript.

• Platform Compatibility: Ensures compatibility with multiple blockchain platforms and development environments.

• Error Handling: Automatically identifies and corrects translation errors, maintaining code integrity.

• Efficiency: Translates large codebases quickly, saving valuable development time.

• Customization: Allows customization of translation parameters to suit specific project requirements.

Code Example: Smart Contract Translation

// // Original TypeScript smart contract function
function transfer(from: string, to: string, amount: number): boolean {
    // Transfer logic
    return true;
}

// CURA®'s translated Rust smart contract function
fn transfer(from: String, to: String, amount: u64) -> bool {
    // Transfer logic
    true
}

3. Mega Integration

A future-scale integration of CURA® into a single comprehensive program, capable of handling all aspects of code development and optimization across multiple languages and platforms, providing a unified interface for developers.

Features

• Unified Interface: A single dashboard to manage all CURA® tools and functionalities.

• Comprehensive Optimization: Handles code repair, debugging, optimization, and translation seamlessly.

• Cross-Platform Support: Supports a wide range of programming languages and development platforms.

• Advanced AI Models: Utilizes the combined power of DADs (THESIS, ANTI-THESIS, SYNTHESIS) for superior AI performance.

• Scalability: Designed to handle large and complex codebases efficiently.

• Real-Time Collaboration: Enables real-time collaboration among development teams with integrated tools.

Vision

CURA® Mega Integration aims to become the central hub for all code development and optimization needs, offering a cohesive and streamlined experience for developers. By integrating all CURA® projects and tools into one platform, we aim to provide unparalleled efficiency, flexibility, and innovation in the software development industry.

4. Additional Projects

• CURA® Analytics: Advanced analytics and reporting tools to monitor and optimize code performance. Provides insights into code efficiency, bug patterns, and optimization opportunities.

• CURA® Security: Enhanced security modules to protect your code from vulnerabilities and threats. Includes automated security audits and vulnerability scanning.

• CURA® Collaboration: Tools to facilitate collaboration among development teams, integrating seamlessly with popular version control systems like GitHub and GitLab. Features include real-time code reviews and collaborative debugging sessions.

• CURA® Documentation Generator: Automatically generates comprehensive documentation for your codebase, ensuring clarity and ease of understanding.

• CURA® Testing Suite: Automated testing tools to ensure your code meets quality standards and functions as intended.