How It Works

1

Upload Your AI-Generated Code

Start your code review in seconds by uploading your AI-generated code to Code Analyzer through a clean and user-friendly interface. This first step is designed to make project submission fast, simple, and reliable, whether you are working with a single source file or a complete software project.

Code Analyzer supports any file type, including popular compressed formats such as .zip and .rar, so you can upload full project folders, multi-file applications, and libraries without changing your structure. This makes it easy to submit real-world codebases for analysis.

You can upload your project in two easy ways:

Select Project Folder: Click the button to choose an entire folder from your computer and upload your full codebase at once.
Drag and Drop Upload: Drag files or folders directly into the upload area for instant submission.

Once your files are added, Code Analyzer prepares your project for analysis right away, helping you move quickly from upload to detailed code review.

Why It Matters

Upload any file type: Accepts source files, folders, and archives like .zip and .rar for complete project uploads.
Quick project setup: Upload your code in just a few clicks with folder select or drag and drop.
Smooth start to code analysis: Begin AI code review without complex configuration.

2

Automatic Code Analysis

After uploading your project, Code Analyzer automatically scans your code for bugs, structural issues, security risks, and performance weaknesses. The platform performs a thorough examination of each file and function, mimicking the approach of an experienced developer during a detailed code review. This goes beyond simple checks, analyzing how your code behaves, how it is structured, and how safely it handles data.

You have full control over the analysis process. Review your code one file at a time, or analyze the entire project in a single click using the Analyze All button. This flexibility allows you to focus on specific areas or quickly validate your complete codebase.

Key Checks Include:

Logic and Syntax Errors: Identifies mistakes that could lead to crashes, unexpected behavior, or incorrect results.
Performance Bottlenecks: Detects inefficient loops, heavy operations, and areas that slow down execution or consume excessive resources.
Security Vulnerabilities: Flags risks such as XSS, SQL injection, insecure inputs, and unsafe coding patterns that could compromise your system.
Best Practice Compliance: Reviews code structure, naming conventions, and design patterns against proven coding standards to keep your code clean, readable, and maintainable.

By performing these checks automatically, Code Analyzer saves time and ensures a deep, professional-quality review of your code, helping you deliver reliable and secure software faster.

3

Receive a Comprehensive Analysis Report

After the code analysis is complete, Code Analyzer delivers a clear, detailed report highlighting every issue in your project. Each problem is categorized by severity and includes explanations, actionable guidance, and examples so you know exactly what needs fixing.

The report organizes your code issues into three main categories:

Critical Issues: Serious bugs or vulnerabilities that could cause crashes, data loss, or major security risks. Immediate attention is required.
Warnings: Potential problems that may affect performance, maintainability, or security. Addressing them improves overall code quality.
Suggestions: Recommendations for improving readability, structure, and adherence to best coding practices. These make your code cleaner and easier to maintain.

Key Features of the Report:

Step-by-step recommendations: Detailed instructions for resolving each issue.
Code snippets and suggestions: Practical examples to implement fixes quickly.
Prioritized issue list: Focus on the most critical problems first for efficient review.
File-by-file categorization: See which files need attention at a glance.

Once generated, the report can be downloaded instantly in a convenient format, making it easy to share with your team, save for reference, or track progress over time. This ensures developers can act on insights immediately and maintain a high standard of code quality.

4

Generate Prompt

After reviewing your code, Code Analyzer can create a ready-to-use AI prompt based on the analysis. This prompt contains all the context and details AI tools need to suggest precise fixes, improvements, or optimizations for your code. By automating this step, developers can save time and ensure their AI-assisted solutions are accurate and effective.

Benefits of Generating a Prompt:

Prepares AI for accurate code correction: Provides clear guidance so AI understands the issues and context of your project.
Reduces trial-and-error time: Minimizes the need for repeated prompts or guesswork, accelerating code improvement.
Ensures best practices: AI suggestions align with coding standards and project-specific requirements, maintaining clean, maintainable, and reliable code.

This step bridges the gap between automated analysis and AI-assisted coding, making it easier to apply insights directly and improve your software quickly and efficiently.

5

Apply Fixes

Once you have your analysis report and generated prompt, you can use Code Analyzer to implement the recommended fixes efficiently. You have the flexibility to apply improvements either automatically through AI tools or manually, guided by the insights provided in your report.

Developers can also upload the downloaded report back into Code Analyzer to track changes, verify applied fixes, or continue the review process seamlessly.

Options for Applying Fixes:

Automatic AI-Assisted Fixes: Use the generated prompt to let AI platforms correct errors, optimize performance, and improve code structure automatically.
Manual Implementation Guided by AI Suggestions: Follow step-by-step instructions and code examples from the report to make fixes yourself while ensuring best practices.
Version Tracking: Monitor changes over time, compare previous and updated code, and maintain a secure, organized workflow.

By combining automated and manual approaches, Code Analyzer ensures that fixes are accurate, secure, and maintainable, helping developers improve software quality faster and more reliably.

6

Verify & Optimize

Once all fixes have been applied, it's crucial to verify that your code is fully corrected and optimized for performance, security, and maintainability. This step ensures that previous vulnerabilities have been resolved and identifies any areas that can still be improved. Verification and optimization help prevent future errors and maintain high-quality software standards.

Re-Scan for Accuracy

After fixes, your code can be re-scanned to confirm that all issues have been successfully addressed. This includes checking for:

Fixed syntax and logic errors
Resolved performance bottlenecks
Eliminated security vulnerabilities
Correct implementation of best practice recommendations

Optimization for Performance and Efficiency

Beyond verification, this step identifies opportunities to make your code faster and more efficient. It can detect:

Inefficient loops or repetitive operations
Memory-heavy functions or resource-intensive areas
Potential enhancements to execution speed and responsiveness

Security Verification

Ensuring code security is just as important as fixing issues. The system confirms:

All previous vulnerabilities have been mitigated
No new risks have been introduced during the fix process
Security best practices, such as input validation, encryption, and safe coding patterns, are consistently applied

Best Practice Compliance

Maintaining clean and maintainable code is essential for long-term project success. This step reviews:

Adherence to coding standards and naming conventions
Proper structure and modular design
Consistency in formatting and documentation

Benefits of Verification & Optimization:

Guarantees that fixes are applied correctly and consistently
Enhances code performance and efficiency
Strengthens security and prevents future vulnerabilities
Ensures maintainable, scalable, and high-quality software
Provides confidence for deployment or further development

By completing this step, developers can be assured that their code is not only error-free but also optimized for production, creating a robust, secure, and maintainable software product.

7

Ready for Deployment

After completing verification and optimization, your code is clean, secure, and fully optimized—making it ready for deployment in production environments. At this stage, all critical issues have been resolved, performance has been improved, and best practices have been applied, giving you confidence in the reliability and quality of your software.

Benefits of Deployment-Ready Code:

Streamlined Release Process: By following a structured workflow—from code upload to analysis, fixes, verification, and optimization—developers can deploy software faster without skipping critical quality checks.
Reduced Risk of Errors and Vulnerabilities: All critical, warning, and suggestion-level issues have been addressed, minimizing the chances of hidden bugs, performance bottlenecks, or security vulnerabilities affecting production systems.
High-Quality, Maintainable Software: Clean code with consistent structure and best-practice compliance ensures easier maintenance, future updates, and long-term stability of your software.
Confidence in Production Environments: Verified and optimized code reduces post-deployment surprises, allowing developers and teams to release software with confidence and reliability.
Time and Cost Savings: Automating the review, fixing, and verification processes reduces manual effort, lowers the risk of costly errors, and accelerates the development-to-deployment cycle.

Why It Works:

Provides a comprehensive, end-to-end workflow for code review and improvement.
Ensures robust performance, security, and maintainability, meeting the highest software standards
Delivers production-ready software that is reliable, optimized, and secure.

By reaching this stage, developers and teams gain a fully verified, optimized, and secure codebase ready for deployment, allowing projects to move from development to production smoothly. This ensures software releases are safe, efficient, and maintainable, improving overall project quality and developer productivity.