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Innovation Details

Client & Matter

Application Type

Provisional ApplicationNon-Provisional Application

Innovation Description

Our invention is an AI-powered code review system that automatically identifies security vulnerabilities, performance issues, and code quality problems in pull requests.

Key Technical Features:
1. Multi-Model Analysis Pipeline
   - Uses fine-tuned transformer models (CodeBERT, GraphCodeBERT) for semantic code understanding
   - Abstract Syntax Tree (AST) analysis for structural patterns
   - Data flow analysis to trace variable usage and detect injection vulnerabilities
   - Control flow graph analysis for logic bugs

2. Real-Time Vulnerability Detection
   - Identifies SQL injection, XSS, CSRF, and other OWASP Top 10 vulnerabilities
   - Detects race conditions and concurrency issues
   - Finds memory leaks and resource management problems
   - Checks for cryptographic weaknesses

3. Contextual Code Suggestions
   - Generates specific fix recommendations with code snippets
   - Explains security implications in plain language
   - Prioritizes findings by severity and exploitability
   - Learns from accepted/rejected suggestions over time

4. Integration & Workflow
   - GitHub/GitLab/Bitbucket webhooks for automated PR analysis
   - IDE plugins for real-time feedback during development
   - CI/CD pipeline integration (Jenkins, CircleCI, GitHub Actions)
   - JIRA/Linear integration for automatic issue creation

Technical Stack:
- PyTorch for ML models
- Tree-sitter for AST parsing across 20+ languages
- Redis for caching analysis results
- PostgreSQL for storing historical findings
- gRPC for service communication

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Generated Patent Application Includes:

USPTO-Compliant Format

Title, abstract, background, summary, and detailed description

20+ Patent Claims

Independent and dependent claims with proper antecedent basis

Prior Art Differentiation

Automatic search and claim differentiation from existing patents

Export Ready

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