PROTECT MISSION-CRITICAL SOFTWARE
Bulletproof Software Assurance
Stop shipping bugs and start shipping confidence. Our Bulletproof Software Assurance catches issues before they cost you customers.
testcode.ai is an advanced autonomous testing platform powered by mutation-guided, LLM-based technologyHow it works
Who should use testcode.ai?
Our LLM-based mutation testing platform is ideal for teams with high standards for code quality:
Mission-Critical Systems
Teams responsible for systems where failures can be catastrophic, needing to prevent regressions at all costs.
Business Logic Guardians
Development leaders who worry about flaws in business logic that could impact customers or revenue.
Maintainability Champions
Engineers focused on improving code maintainability with thorough testing that adapts to evolving requirements.
Technical Debt Reducers
Teams engaged in incremental refactoring who need confidence their changes won't introduce new bugs.
What is different about testcode.ai?
Here's how testcode.ai compares with traditional alternatives:
Rule-based Mutation Testing vs. testcode.ai
Rule-based Mutation Testing
Rule-based mutation testing uses predefined transformation rules to generate program variants. While helpful for basic test suite evaluation, these fixed rules can't capture realistic bugs, often creating artificial mutations that don't resemble actual developer mistakes.
testcode.ai
testcode.ai uses machine learning to enhance traditional mutation testing by removing false positives and monitoring what bugs are likely to happen in your codebase. Our approach analyzes historical patterns and optimizes mutation selection, focusing testing efforts on the most probable failure scenarios for your specific application domain.
LLM Code Assistants vs. testcode.ai
AI Coding Assistants
AI coding assistants like Copilot, Cursor help with code completion and generation but don't specifically target test quality. They focus on writing code faster rather than ensuring its resilience.
testcode.ai
testcode.ai uses LLMs specifically for creating realistic fault-based mutations that mirror actual developer mistakes. Unlike general AI coding assistants, we harness LLMs to generate semantically meaningful code defects, then automatically produce tests that protect against these realistic failure scenarios.
Coverage-based Testing vs. testcode.ai
Coverage-based Testing
Traditional coverage metrics focus on executing code lines but don't guarantee meaningful test scenarios. High coverage can create false confidence while missing critical edge cases.
testcode.ai
testcode.ai focuses on semantic test quality rather than just coverage metrics. By generating tests from simulated faults, we ensure your test suite addresses realistic failure scenarios, not just code paths. Our approach targets specific areas of concern, generating tests for issues that matter most to your business.
Find Bugs Humans Miss
Simulate real-world failures. Generate smarter tests. Catch the bugs other tools miss.
Smart Fault Detection
Automatically identify hidden edge cases your regular tests can't find by simulating real-world failures.
Accelerated Test Creation
Generate comprehensive test suites in seconds that would take hours to write manually.
Code Weakness Analysis
Identify vulnerable parts of your codebase by intelligently simulating potential code failures.
Regression Guardian
Automatically detect when code changes break existing functionality without relying on manually written assertions.
Test Validation
Verify that your tests actually catch bugs by simulating subtle code changes that should break them.
Failure Cost Reduction
Detect issues that would cost thousands in production by simulating failures before they happen.
What kind of codebase is testcode.ai ideal for?
Our verification platform excels where software reliability isn't optional
Financial Systems
Where transaction logic accuracy is non-negotiable
Manufacturing Controls
Where system failures mean production shutdowns
Autonomous Systems
Where software decisions have real-world safety implications
Semiconductor & Chip Design
Where verification is as complex as the silicon itself
Compliance/Privacy Heavy Systems
Where data protection and regulatory adherence are paramount
Critical Infrastructure
Where system failures are simply not an option