AI code moves fast. Risk moves with it.
AI-assisted development is increasing speed, but it is also increasing uncertainty. More code is being shipped faster, often without an independent way to verify whether it is secure, maintainable, and fit for production.
Security Risk
AI-generated code can look correct while still introducing vulnerabilities, weak patterns, or hidden exposure.
Technical Debt
Code that ships fast can still create long-term maintenance drag, complexity, and rising engineering cost.
Compliance & Trust
If you cannot clearly explain what is in your codebase and why it is acceptable, trust breaks down with customers, investors, and auditors.
Visibility Gap
Most teams know AI is helping write code. Far fewer can prove what that means for quality and risk.
A new standard for verifying code in the age of AI
Verify My Code gives you an independent, deterministic way to assess code health. Instead of relying on vague signals or another AI opinion, it helps you understand the real condition of your codebase across three areas that matter most: quality, security, and technical debt.



Verification should not be another guess
Code Quality
Structure, maintainability, complexity, and signals that affect long-term code health.
Code Security
Vulnerability patterns, insecure implementations, and areas that increase exposure.
Technical Debt
Issues that slow teams down, increase cost, and make future changes harder.
Dependencies
Understand risk introduced by packages and external components.
AI-Generated Code Visibility
Get more clarity around code that may have been AI-assisted or AI-generated.
Licences
Understand compliance related to open source licenses in your code.
Why AI can’t verify the same code it wrote
AI can accelerate development, but verification needs independence. When the same class of system generates and reviews code, trust breaks down. Real verification needs to be deterministic, traceable, and separate from the generator.
01. Circular bias
When AI reviews AI-generated code, you are not getting true independence. You are getting a second opinion from a system with similar patterns, assumptions, and blind spots.
02. Shared failure modes
The same kinds of weaknesses AI can introduce into code are often the same kinds of weaknesses AI is less reliable at identifying.
03. Non-deterministic results
LLM-based reviews can vary from run to run. Verification should be consistent, repeatable, and based on clear rules rather than changing probabilities.
04. Limited auditability
Security and compliance decisions need evidence that can be traced, explained, and defended. Probabilistic AI outputs are harder to map cleanly to standards, controls, and audit requirements.
Who is it for
CEOs
Get a clearer view of software health without needing to interpret every technical detail yourself.
CTOs & Engineering Leaders
Identify weaknesses faster and focus remediation where it matters most.
PE, VC & M&A Teams
Understand code risk, maintainability, and health before it becomes a deal or portfolio problem.
How it works
Connect
Connect your repository or codebase.
01
Analyze
Run deterministic checks across quality, security, and technical debt.
02
Verify
Receive findings and, where eligible, a verification badge.
03
Remediate
Get a breakdown of issues and a fast path to fixing them.
04
Testimonials
Trusted by Leaders Who Need
to Know Their Code
Verify My Code gave us clarity in minutes, not days or months. It helped us understand whether our product was healthy, secure, and scalable without needing to decode everything through engineering alone.
This gave our team a faster route to understanding the condition of a target’s codebase. The insights were clear, commercially relevant, and useful in live transaction discussions.
The platform quickly highlighted the areas of technical debt and code quality risk that were slowing us down. It gave us a practical view of what needed attention and where to focus first.
With AI increasingly involved in code generation, we wanted confidence that speed was not coming at the expense of quality. Verify My Code gave us an independent way to validate that.
We needed a fast, credible way to assess software risk. Verify My Code gave us a clear view of code quality, security posture, and maintainability early enough to influence decision-making.
The findings were easy to understand and immediately actionable. Instead of vague concerns about tech debt, we had a concrete picture of the issues and a path to remediation.
Deterministic Code Verification
for One Simple Price
VerifyYourCode
Get Started
Deterministic code verification in the age of AI.Verify your codebase for quality, security, and technical debt.
$99
/ month
FAQ
Most asked questions
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AI is accelerating software delivery.
Verification needs to keep up.














