Cursor can speed up application development, but teams still need independent review of the code, architecture, security controls, integrations, and deployment setup before relying on an AI-built product in production. The companies below provide audits for applications built with Cursor and similar AI coding tools, with services ranging from focused security reviews to full production-readiness assessments and remediation.
Gilzor works directly with applications built using Cursor, Claude Code, Bolt, Lovable, Replit, v0, and related AI coding tools. Its AI-built app service offers an audit-first option that reviews the codebase and architecture, then assesses security, reliability, scalability, and production-readiness gaps. The scope can also extend beyond diagnosis into implementation, which is useful for teams that want the same engineering partner to address the issues uncovered during the review. Gilzor covers web and mobile products, infrastructure, authentication, databases, monitoring, testing, performance, and third-party integrations.
Maxiom Technology has a dedicated code-audit service for teams using Cursor, GitHub Copilot, and Claude Code. Rather than limiting the review to common security scanner findings, the company examines security, architecture, dependencies, test quality, compliance concerns, and broader production risk. Maxiom includes the engagement as a fixed-scope senior engineering review with written findings, which makes it relevant for companies preparing for enterprise security reviews, technical due diligence, or stricter production requirements.
OSKI Solutions is relevant when a Cursor-built application needs a wider technical assessment before modernization or continued development. Its modernization process starts with a technical audit covering the codebase, data, integrations, and related workflows. The team then uses the findings to establish a modernization roadmap.
Follow-up engineering can include tests, observability, technical guardrails, incremental re-architecture, integration work, and ongoing operation.
Q2BSTUDIO offers a dedicated audit for AI-generated applications and explicitly supports code created with Cursor, Copilot, ChatGPT, Claude, Gemini, and other assistants. Its methodology looks beyond conventional static analysis to identify inconsistent architecture, unnecessary dependencies, weak validation, fragile error handling, testing problems, and what the company describes as hidden structural debt. Critical flows such as authentication, payments, sensitive data processing, and business logic receive manual review.
Itexus offers Project Audit and Rescue for existing software that has quality, security, performance, stability, documentation, or delivery problems. The audit can examine code quality, architecture, security, project documentation, performance, and other non-functional characteristics before producing recommendations for recovery.
The company also works with AI-driven development and explicitly references Cursor AI in its development approach. That makes Itexus relevant when a Cursor-assisted product has moved beyond the prototype stage and needs an independent technical review plus engineers who can refactor, upgrade, or continue the product afterward. Its broader portfolio is particularly concentrated in fintech and financial software.
AddWeb Solution provides AI code auditing and remediation for codebases produced with Cursor, Copilot, Claude, and other generative development tools. Its service is intended to identify security weaknesses, architectural inconsistency, technical debt, and maintainability problems that can accumulate when teams generate features quickly. Unlike providers that stop at a findings report, AddWeb also offers remediation work, so teams can use the audit as the starting point for hardening the existing codebase.
A-Listware provides secure code review alongside software development, application testing, modernization, and cybersecurity services. Its secure code review work combines manual analysis and automated tooling to identify vulnerabilities, insecure dependencies, authentication problems, data exposure risks, and deviations from secure coding practices.
It fits organizations that want AI-assisted or conventionally developed code reviewed as part of a wider application security or software engineering engagement. A-Listware can also continue into testing, modernization, maintenance, or additional development after findings have been identified.
Xipe Technology offers a Production Readiness Review for products developed with Cursor, Claude Code, Lovable, Bolt, Replit, v0, and similar AI-assisted environments. Senior engineers assess architecture, code quality, security, scalability, and infrastructure before producing a prioritized remediation roadmap. The service is advisory by default, so it suits founders who want an independent technical assessment before deciding whether to keep the current architecture, make targeted changes, or commission a larger remediation project.
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net-devs offers an AI-accelerated audit of enterprise codebases as part of its modernization and technology leadership services. The company uses the audit to map an existing system, identify risk hotspots, and create a sequenced modernization roadmap before making significant changes.
Its engineering approach combines AI-assisted analysis and refactoring with senior human ownership of architecture, trade-offs, and code review. It is relevant to organizations with large AI-assisted codebases that need structured assessment before modernization. The service is particularly oriented toward enterprise systems rather than lightweight prototype reviews.
Edstem Technologies provides a Production Readiness Audit. Senior engineers review the product before launch and can continue into fixing and hardening work when required. The service is structured around identifying risks that may not appear during demonstrations or limited testing, especially when the application begins handling real users, data, integrations, and payments.
Mobian is better suited to discovery-led technical assessment than to a narrowly packaged Cursor audit. When joining an existing software project, the company reviews the current product or platform, identifies technical gaps, tests existing code, and provides feedback before defining the next development stage.
Its wider capabilities include mobile development, AI systems, backend engineering, legacy integrations, scalable architecture, QA, and ongoing product support. This makes Mobian relevant when the objective is to evaluate a Cursor-assisted product and then keep the same engineering partner involved for stabilization, expansion, or modernization.
Amura Software provides a human-led AI code audit for applications developed with Cursor, v0, Lovable, Copilot, and other AI coding systems. The company frames the review similarly to technical due diligence, examining what is actually present in the codebase rather than judging the product only by whether its visible features work. Areas of concern include access-control mistakes, exposed data, dependencies, unprotected API routes, and other technical risks that can remain hidden in quickly generated software.
21century.tech follows an AI-native engineering model where senior developers make architecture decisions, review generated code, handle security judgment, and remain accountable for production delivery. AI is used for code generation, testing, documentation, and large-scale refactoring, while human engineers review what ultimately ships.
It suits teams seeking code assessment together with refactoring or continued development. Its experience with AI-assisted software delivery can be useful when a Cursor-heavy project needs human review before the team continues building on the existing codebase.
Rebug Labs provides code audits and security assessments for existing software, including applications generated with Cursor, Bolt, Lovable, and similar AI tools. Its AI-specific review focuses on recurring problems such as hardcoded secrets, broken authentication flows, duplicated generated code, and incomplete error handling. The company delivers findings according to codebase size and can provide a scoped assessment before the full engagement, making it useful for teams that need to understand the likely audit depth before granting repository access.
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SoftPro focuses on custom software, web applications, cloud solutions, AI integrations, modernization, and long-term support. The company is most relevant when the review of an AI-assisted application is tied to subsequent modernization or custom development, particularly for projects using the Microsoft ecosystem. Its stack includes Azure, ASP.NET, .NET Core, React, and related technologies, while its broader delivery approach includes quality assurance and continued maintenance.
Cursor can accelerate development, but an AI-generated codebase still benefits from an independent technical review before production. The 15 companies in this list cover different audit needs, including source-code quality, security, architecture, scalability, testing, infrastructure, and production readiness. Some focus primarily on identifying vulnerabilities and structural problems, while others extend the engagement into remediation, hardening, or ongoing engineering support.
When comparing providers, consider the scope of the audit, the areas covered, the level of manual engineering review, and whether remediation is available after the findings are delivered. A clear understanding of these points can help teams choose an audit service that matches the complexity, stage, and technical requirements of their Cursor-built application.
