An AI code audit is a professional review of code generated by AI tools, performed by experienced human developers to identify security vulnerabilities, performance issues, and quality problems. Common AI coding tools include:
Lifted Logic offers AI code audit services for SLC businesses that have used AI to build or modify their websites and applications. For AI code audit in Salt Lake City, the goal is practical: confirm whether the code is stable enough for real users, real traffic, and future updates.
Veracode found AI-generated code introduced risky security flaws in 45% of tests.
Microsoft reported 20 million GitHub Copilot users and 90% Fortune 100 adoption in FY2025.
WebAIM found 95.9% of top home pages had detectable WCAG failures in 2026.
OWASP’s 2025 Top 10 found 100% of tested applications had some broken access control.
Review User Experience
Make Fixes Usable
Organize Audit Work
Keep Reviews Moving
Support Better Pages
Strengthen Site Quality
AI code can be a strong starting point, especially when someone uses it to prototype a page, tool, or workflow. With AI code audit in Salt Lake City, Lifted Logic reviews that work for stability before the business depends on it. The audit confirms what works, flags what needs attention, and helps your team decide whether to refine, rebuild, or move forward with confidence.
Lifted Logic’s developers review code with the experience that comes from building websites, applications, and integrations. Their work with custom WordPress systems adds another layer of practical context.
Adam Fichman’s technical background and code-minded leadership shaped a team that understands both the creative idea and the production reality. For AI code audit in Salt Lake City, that combination helps turn fast AI output into safer business infrastructure.
AI-generated code can be useful. It can help a founder test an idea, help a marketer build a quick landing page, or help a developer move through repetitive work faster.
AI authorship alone does not create the problem. The real risk shows up when code runs without being secure, performant, or maintainable.
For an AI code audit in Salt Lake City, Lifted Logic treats AI-generated code like a fast first draft. A first draft can be promising, but every draft needs an editor before it represents the business in public.
Common AI code problems include:
Those issues can stay hidden because the page may look fine at first. A form might submit, but fail to validate suspicious input. A booking tool might work for one user, then break when more people use it. A page section might look polished, while screen readers or keyboard users get stuck.
We have seen AI-assisted builds create duplicate scripts, unclear component logic, and forms that store data in ways the business did not intend. These are solvable problems, but they are easier to solve before the code becomes part of daily operations.
An AI-generated code review that Salt Lake City businesses request should give practical answers.
Lifted Logic keeps the review grounded, so your team gets useful findings instead of panic, jargon, or a dramatic lecture about robots ruining the internet.
With an AI code audit in Salt Lake City, Lifted Logic inspects the code from several angles because AI-generated work can fail in quiet ways. Our team reviews the parts users see, the logic behind the experience, and the technical patterns that affect future support.
We review common security concerns that may appear in AI-generated code, including:
Security review helps identify code that could allow unauthorized access, unsafe data handling, or risky user input.
We review whether the code supports reasonable page speed and resource use. That may include:
Performance analysis helps find code that works during a demo but struggles under real traffic.
We review whether users can navigate and understand the experience across different needs and devices. That may include:
An AI website audit that Salt Lake City business owners request should include accessibility. Why? Because usability is part of code quality.
Salt Lake City Web Development
We review maintainability, documentation, error handling, and scalability. Code quality affects how easily your site can be updated after the first version launches.
We review whether the code follows relevant standards for the platform and language. That may include WordPress coding standards, PHP standards, and JavaScript conventions.
A good audit process keeps the review focused, organized, and useful for the people making the next decision. Lifted Logic moves from scope to findings with clear steps, so your team understands what was reviewed, what was found, and what should happen next.
You share the code area you want reviewed. That may be a website, component, or plugin. It may also be a larger application area. We define what the audit should cover before work begins.
We use our own AI tools and other technical review methods to check the AI’s work. Automated scanning helps surface patterns and possible issues.
A senior developer reviews the findings and inspects the code directly. Human review brings context that automated tools do not have.
You receive a detailed findings report with severity ratings. The report explains what we found, why it creates risk, and what should happen next.
We recommend practical next steps. In many cases, Lifted Logic can also fix the issues we find.
Typical turnaround is 3 to 5 business days for standard sites, depending on size and scope.
Businesses often need an AI code audit in Salt Lake City when they have used AI to build something useful, but they are not fully sure whether the code can support real business use.
This service may fit:
Client support starts before the audit begins. Lifted Logic helps define the scope, gather access, understand the business goal, and decide which parts of the code deserve the closest review.
That context keeps the audit focused on what the code needs to do, not only what a scanner can detect.
For AI code audit in Salt Lake City, cost depends on scope. A single page or component usually takes less review time than a full website. A custom plugin, portal, or enterprise application requires deeper inspection.
An AI code quality check may include review, reporting, and recommendations. Remediation is usually separate unless the scope includes fixes from the start. That separation keeps the audit clean: first we identify what is happening, then we decide what should be repaired.
Lifted Logic can support both paths. If the code only needs a few adjustments, we can help clean it up. If the audit uncovers larger structural issues, our client support and development teams can help plan the next phase with less chaos.
Get Started
Think your AI-built site might have issues? We’ll find out. Request a free initial code assessment from Lifted Logic.
An AI code audit is a professional review of code created or modified with AI tools. Experienced developers inspect the code for security vulnerabilities, performance issues, and accessibility gaps. They also look for quality problems.
For your company’s AI code audit, Lifted Logic reviews whether the code is ready for real users and future updates. The audit gives your team practical findings, not vague warnings.
AI-generated code needs human review because code can appear functional while still creating hidden risk. It may miss context, skip error handling, or use patterns that become hard to maintain later.
AI tools are helpful, but they do not fully understand your business, users, or technical environment. A human developer can review whether the code actually fits the job it needs to do.
AI-generated code may include security vulnerabilities, performance issues, accessibility gaps, outdated methods, and weak input validation. It may also contain unclear logic or extra code that makes future updates harder.
Some issues are small and easy to fix. Others point to deeper structural problems that need a more careful development plan.
A standard AI code audit often takes 3 to 5 business days after scope and access are confirmed. Larger sites, complex applications, or custom integrations may take longer. The timeline depends on how much code needs review and how detailed the findings report should be.
Lifted Logic defines the review scope early so your team understands what to expect.
Yes, Lifted Logic can fix many of the issues found during an AI code audit. The audit first identifies and prioritizes the problems. After that, our developers can help remediate security concerns, performance issues, and accessibility gaps. Maintainability problems can be addressed too.
If a rebuild makes more sense than a patch, we will explain why.
Yes, Lifted Logic can audit code created with Cursor, GitHub Copilot, ChatGPT, Claude, and similar AI tools. The tool is less important than the quality of the final code.
We review how the code handles security, performance, and accessibility. Maintainability gets reviewed too. Cursor code review and copilot code review are both useful when AI-assisted work has moved from experiment to business asset.
An AI code audit differs from a full security audit, though security review is part of the process. With AI code audit in Salt Lake City, Lifted Logic also looks at performance, accessibility, and maintainability. Best-practice review is part of the same scope.
A dedicated security audit may go deeper into penetration testing, compliance, and infrastructure risk. Lifted Logic can explain which type of review fits your current concern.
