Code Review that works
Our formal methods engine actually executes your code to find real bugs that traditional testing and code reviews miss—without false positives
- if (token) {+ if (token && isValidToken(token)) {return authenticateUser(token);
}
return authenticateUser(token);
}
The Code Review Illusion
Whether it's pattern matching, AI hallucinations, or human bias—traditional code review gives you false confidence while real bugs ship to users
ESLint, SonarQube, CodeClimate
Pattern Matching Only
Static analysis tools look for known patterns but can't understand code behavior or context
High False Positive Rate
Flags correct code as problematic, creating noise that developers learn to ignore
CodeRabbit, Codacy, DeepCode
AI Hallucinations
LLMs generate confident-sounding suggestions that are often completely wrong or break functionality
Missed Issues
Limited scope of detectable errors, and even for issues they can identify, detection is unreliable and inconsistent
Manual peer code review
Slows Development Velocity
Manual reviews create bottlenecks, with developers waiting hours or days for approval on critical fixes
Cognitive Bias
Reviewers assume code works as intended, missing edge cases the author didn't consider when writing it
The Core Issue
None of these approaches actually execute your code to verify it works. They can only guess based on patterns, training data, or human intuition—but they can't prove correctness
Mathematical Code Verification
Using formal methods, we execute your code against mathematically rigorous test scenarios to ensure correctness
Beyond Guesswork
Actually Executes Code
Our system runs your code with comprehensive test scenarios to find real bugs, not just guess at potential issues
Rigorous Analysis
Systematic testing approach that goes far beyond traditional code review methods
Precise Issue Detection
Cut through the noise with systematic testing that focuses on real bugs, not style nitpicks
Formal Verification Engine
RunningCode thoroughly tested with comprehensive verification results
How We're Different
Traditional approaches vs. Formal Verification
Traditional Approaches
Formal Verification
Zero-Setup Code Verification
Simply submit your code and we automatically handle everything—from test generation to execution to reporting—with no configuration required
Automatic Code Analysis
When you submit code, our system instantly analyzes the structure and identifies what the code is intended to accomplish
Incoming Code
Blueprint Extracted
Systematic Execution
Our engine systematically explores different execution paths, testing edge cases and scenarios that traditional reviews miss
Execution Testing (1/6)
Precise Results
Get clear, actionable insights based on actual execution results—no guesswork, no false alarms
From Detection to Resolution
Our property-based testing doesn't just find bugs—it makes them easy to understand, reproduce, and fix with automated test harnesses and clear execution paths
Automatic Test Generation
Intelligent test case creation that understands your code's intent and automatically generates comprehensive test scenarios
Test Generator
GeneratingProven Across Every Industry
From financial transactions to flight control systems—automated property-based testing catches critical bugs wherever code reliability matters most
Financial Services
Prevent costly bugs in financial systems where errors translate directly to lost revenue and compliance issues.
- Transaction processing verification
- Regulatory compliance assurance
- Security vulnerability prevention
Aerospace Systems
Ensure mission-critical reliability in flight control and navigation systems through mathematical property verification.
- Flight control system safety properties
- Navigation algorithm correctness
- Sensor data fusion validation
Enterprise Software
Ensure robustness in complex distributed systems with formal verification of critical business logic.
- Microservice integration validation
- Concurrency issue detection
- Cross-component data flow verification
Security-Critical Applications
Mathematically verify security properties in systems that handle sensitive data or critical infrastructure.
- Authentication flow verification
- Authorization bypass detection
- Cryptographic implementation checking
Cloud Infrastructure
Prevent costly outages and data loss in cloud services through formal verification of infrastructure code.
- Resource configuration verification
- Access control validation
- Deployment safety checking
Open Source Projects
Maintain high quality contributions and prevent regression bugs with automated formal verification.
- Contributor submission validation
- API contract enforcement
- Breaking change detection
Transform Your Code Review Process
Join industry leaders who have already improved code quality and streamlined their development process.