New to FixVion? These tutorials will help you get started with our Fixvion platform and automated code review tools.
How to Upload Your First Code for Analysis
Learn how to upload your code files to FixVion for automated code analysis. This comprehensive guide covers:
- Supported File Formats: Understand which programming languages and file types are supported (JavaScript, Python, Java, PHP, Go, C++, TypeScript, Ruby, Rust, and more)
- Upload Methods: Step-by-step instructions for drag-and-drop, file browser, and paste code methods
- Project Structure: Best practices for organizing your code files and folders for optimal analysis
- Multi-File Analysis: How to upload entire projects and analyze multiple files simultaneously
- File Size Limits: Understanding upload limits and how to handle large codebases
- Troubleshooting: Common upload issues and how to resolve them
Estimated Time: 5-10 minutes
Understanding Code Review Reports and Error Detection
Master the art of reading and interpreting FixVion's automated code review reports. This tutorial explains:
- Report Structure: Understanding the layout of analysis reports, including summary sections, detailed findings, and recommendations
- Severity Levels: Learn to distinguish between critical errors, warnings, and informational messages
- Error Categories: Understanding different types of issues (syntax errors, security vulnerabilities, performance bottlenecks, code quality issues)
- Intelligent Bug Detection: How our AI identifies bugs, logic errors, and potential runtime issues
- Code Quality Ratings: Interpreting quality scores and what they mean for your project
- Filtering and Sorting: How to filter reports by severity, file, or issue type to focus on what matters most
- Export Options: Saving and sharing reports with your team
Estimated Time: 10-15 minutes
Applying Recommended Fixes from Code Repair Engine
Learn how to effectively apply FixVion's recommended fixes and use our code repair engine. This guide covers:
- Understanding Fix Recommendations: How to read and interpret suggested code changes
- Applying Security Fixes: Step-by-step process for implementing security vulnerability patches
- Performance Optimizations: How to apply performance improvements suggested by the analysis
- Code Refactoring: Using automated refactoring suggestions to improve code structure and maintainability
- AI Prompts for Fixes: How to use generated AI prompts to fix code issues with your preferred AI coding assistant
- Testing After Fixes: Best practices for testing your code after applying recommended changes
- Version Control: How to integrate fixes into your Git workflow
- Reviewing Changes: Understanding what changed and why before committing fixes
Estimated Time: 15-20 minutes
Using Intelligent Bug Detector and Debugging Tools
Discover how to leverage FixVion's intelligent bug detector and debugging intelligence features:
- Bug Detection Overview: Understanding how our AI identifies bugs before they reach production
- Common Bug Patterns: Learn about frequently detected issues (null pointer exceptions, memory leaks, race conditions, etc.)
- Debugging Intelligence: How to use AI-powered debugging suggestions to resolve issues faster
- Error Tracing: Following error paths through your codebase to identify root causes
- Logic Error Detection: Finding and fixing logical errors in your code flow
- Integration with IDEs: Using FixVion results in your development environment
- Debugging Workflow: Best practices for a systematic approach to fixing detected bugs
Estimated Time: 12-15 minutes