An AI code audit is a senior-engineer-led review of a codebase built with Cursor, Lovable, Bolt, Claude Code, v0, or Replit, evaluating security, architecture, scalability, and compliance before real users expose what dev testing missed. SolGuruz combines SAST, DAST, SCA, and manual review across every critical path, then delivers a prioritized, sprint-ready remediation roadmap, not a 40-page PDF.
Flexible Engagement Models
Strict NDA
1 Week Risk Free TrialWe build AI into real products, with a team that runs AI tooling across every stage of delivery.
Trusted by Startups and Enterprises Worldwide
Custom Software Development Success Stories
Real founders, CEOs, CTOs, and product owners behind 102+ shipped products across 14 industries share what working with SolGuruz looked like. Every story is one of 133+ independently verified client reviews across Clutch, Google, Glassdoor, and other platforms, averaging 4.9 ★★★★★ ratings.
Custom Software Solution Development / Driver Dashboard & Invoice Automation for Food Service Company
SolGuruz has delivered a solution that has reduced 90% of manual efforts through automation and provided real-time insights for supplier fulfillment and order volume trends. The team is responsive to requests and changes, and their proactive approach to problem-solving has stood out.
Summarized from Gary Boyd's Clutch review
Gary Boyd
CEO and Owner, Tasty Food Guys | Florida, USA
Rated 5.0 / 5 on Google by clients, partners, and visitors who have experienced SolGuruz first-hand - through our work, our office, or our team.
Read Google reviews →
4.9 / 5 on Clutch - independently audited reviews from real clients who have shipped products with SolGuruz.
Read Clutch Reviews →Backed by independent accreditations
An AI code audit is a structured review of a codebase generated or heavily assisted by AI coding tools such as Cursor, Claude Code, GitHub Copilot, Lovable, Bolt, v0, Replit, Windsurf, or Kiro. The audit evaluates security posture, architecture integrity, scalability limits, code quality, dependency risk, test coverage, and compliance gaps using a combination of SAST, DAST, SCA, and manual senior-engineer review.An AI code reviewer combines automated scanning with senior-engineer analysis to evaluate production readiness. The output is a documented risk register with severity ratings and a remediation roadmap tied to your business priorities.
our expertise
Our AI code audit services cover every technical layer of a codebase built with AI assistance, from security scanning and architecture validation to dependency risk, database design, performance testing, and compliance alignment. Each stream applies automated code review capabilities for AI code, combined with senior engineers who have built and scaled production systems across the same modern stacks your product relies on today.
Complete analysis of your entire AI-generated codebase, identifying structural issues, code quality gaps, and long-term maintainability concerns. We assess the overall architecture, design patterns, and coding standards.
In-depth security review using SAST and DAST techniques to identify vulnerabilities, authentication gaps, data exposure risks, and compliance violations before they reach production.
Evaluate system design, component interactions, scalability constraints, and alignment with industry best practices. We ensure your AI-built architecture can handle growth and complexity.
Assess application performance under load, identify bottlenecks, and verify scalability readiness. We test database query efficiency, API response times, and resource utilization.
Review all third-party dependencies using SCA tools to identify outdated packages, known vulnerabilities, license compliance issues, and supply chain risks.
Examine database schema design, query performance, data integrity constraints, and backup/recovery procedures. Ensure your data layer is optimized and secure.
Review API security, rate limiting, authentication mechanisms, and third-party integrations. Ensure all external interfaces are hardened against common attack vectors.
Verify compliance with HIPAA, GDPR, SOC 2, PIPEDA, and other standards. Assess AI integration layers for hallucination risks, prompt injection vulnerabilities, and model reliability.
Most founders and CTOs who come to us for an audit of their code are not asking whether their app works. They already know it works. They are asking whether it will survive the next 12 months without a rebuild. A free AI code review is often the fastest way to uncover hidden security, scalability, and architecture risks before committing to a full audit.
In a 2024 GitClear analysis of 211M lines of code, AI-assisted commits showed a 4x increase in code churn and an 8x rise in copy-pasted code, patterns that compound into rewrites within 12-18 months.
Your MVP was built in Cursor, Claude Code, Bolt, Lovable, v0, or Replit, and is live with paying users without senior review.
Your app is crashing under load, throwing intermittent production errors, or slowing down as usage grows, and nobody on the team can explain why.
You are preparing for a Series A or Series B round and your investors will run technical due diligence on a codebase no one internally fully understands.
You are seeing unexplained cloud bills, inflated database costs, or infrastructure spend that has grown faster than your user base.
Your development team is afraid to touch large sections of the AI-generated code because they cannot predict what will break when they change it.
Enterprise customers are asking for SOC 2, HIPAA, or ISO 27001 compliance and you cannot confidently answer their security questionnaires.
Your authentication, payment, or data handling flows were scaffolded by an AI tool, and no one has reviewed the security implications since.
A critical dependency in your codebase has a known CVE, and you do not know if you are exposed or how to fix it safely.
You are acquiring or merging with a company whose product was built with AI tooling and you need an objective view of what you are inheriting.
If two or more of these apply to your product, an AI code review audit is the next step to validate your system before scaling.
SolGuruz audits codebases built with all major AI development tools, no-code builders, and modern tech stacks used in production SaaS products.
Cursor
Windsurf
GitHub Copilot
Claude Code
Kiro
Cline
Lovable
Bolt
v0
Replit Agent
Base44
ChatGPT
Claude
GeminiIf your product was built using any combination of these tools or stacks, we can audit it for security, scalability, and production readiness.
AI code audit services deliver different outcomes depending on your stage, team setup, and the problem you are trying to solve.
| Who | How AI Code Audit Services Help You |
|---|---|
| Non-Technical Founders (Vibe Coders) | You built an MVP with Cursor, Lovable, Bolt, or Claude Code, but don't know if it will scale. We assess production readiness, risks, and what needs refactoring before growth or funding. |
| Startups Preparing for Investor DD | Your code hasn't been reviewed by senior engineers. We prepare your system for due diligence with a risk register, architecture summary, and a clear remediation plan. |
| CTOs Inheriting AI-Generated Codebases | You've joined a product built quickly with AI tools. We give you a clear baseline of risks, scalability limits, and what should be fixed first. |
| Engineering Leads Using AI-Assisted Development | You're using Copilot, Cursor, or Claude Code in production workflows. We evaluate code quality, architectural drift, and alignment with production standards. |
| Companies Acquiring AI-Built Products | You're acquiring a product built with AI tools under tight timelines. We assess technical risk and estimate stabilization effort before integration. |
| Healthcare, Fintech, and Regulated Businesses | You need compliance-ready systems. We audit against HIPAA, GDPR, SOC 2, and PIPEDA and highlight gaps with clear remediation steps. |
A transparent AI code audit gives you the one thing AI-generated code rarely comes with by default: a clear-eyed view of what will hold up in production and what will not.
Every critical file, dependency, and architectural decision gets reviewed and documented so you stop guessing what your codebase actually does.
Catch security risks before attackers do. We surface hardcoded secrets, OWASP Top 10 issues, weak auth flows, and CVEs before they become production incidents.
Your codebase, architecture, and security posture are documented to the standard Series A and Series B investors actually expect during DD.
Most AI-generated codebases hit a rewrite wall within 12 to 18 months. An audit now tells you exactly what to fix so you never hit that point.
Inefficient queries, oversized instances, unbatched API calls, and misconfigured auto-scaling are common in AI-generated code. We find them and quantify the savings.
Once the audit is done and the critical issues are closed, your team builds new features faster because they know what they are building on.
SolGuruz AI-powered code audit follows a structured process from discovery to remediation planning, ensuring nothing is missed across security, architecture, and scalability.
01 / 05
Understanding your product, tech stack, deployment setup, and how the codebase was built to establish full context.
02 / 05
Analysis of system design, structure, and scalability patterns to identify architectural gaps and long-term risks.
03 / 05
Evaluation of authentication, APIs, and third-party dependencies to detect vulnerabilities and compliance issues.
04 / 05
Assessment of maintainability, performance, database design, and coding standards affecting production stability.
05 / 05
Delivery of a detailed report with risks, quick wins, and a prioritized roadmap for improving reliability and scalability.
Share your codebase and stack, and we'll scope your audit with a clear plan and timeline.
Every AI code audit comes with specific complications that traditional code reviews do not. Here is where projects typically run into trouble and how our process handles it.
| Challenge Area | The Challenge | Our Solution |
|---|---|---|
| Hidden Security Debt | AI tools often generate insecure patterns like hardcoded secrets, weak encryption, or unsafe deserialization, increasing vulnerability risk. | SolGuruz uses SAST, DAST, and SCA scanning combined with a senior engineer manual review across all critical paths. |
| Inconsistent Architecture | AI-generated features often follow different patterns, making the system hard to scale or maintain over time. | Team identifies inconsistencies, maps architectural gaps, and provide a clear refactor plan without disrupting delivery. |
| Phantom Test Coverage | AI-generated tests may show high coverage but miss key business logic and real user flows. | Our professionals evaluate real test effectiveness and rebuild critical test coverage around production-grade scenarios. |
| Dependency Risk at Scale | AI tools often introduce outdated or vulnerable dependencies without considering security or maintenance status. | The technical team audit all dependencies against NVD and GHSA and provides safe, prioritized upgrade paths. |
| Compliance Blind Spots | AI-generated code rarely accounts for regulations like HIPAA, GDPR, or SOC 2 requirements. | Focus to map your system to compliance standards and deliver a structured gap remediation report. |
| AI Integration Layer Risk | LLM features introduce risks like prompt injection, token misuse, and unstable fallback behavior. | We audit the full AI layer, including prompts, APIs, and fallback logic to ensure production safety. |
Every AI-powered code audit is scoped based on your codebase size, risk profile, and business goals to ensure you get exactly the level of depth your product needs, nothing more, nothing less.
| Pricing Model | What It Covers | Typical Cost |
|---|---|---|
| Fixed-Price Audit (Static) | Code standards, dependencies, and security review of an existing codebase without ongoing changes. | $5,000-$8,000 |
| Fixed-Price Audit (Dynamic) | System behavior under load, security testing, runtime analysis, and performance validation. | $8,000-$16,000 |
| Per-Seat Subscription | IDE-based AI tools with audit capabilities integrated into developer workflows (e.g., Cursor, Copilot, Claude Code). | $25-$45 per developer/month |
| Usage-Based (Token) | Charges based on code volume processed, lines analyzed, or API usage for on-demand audits. | Varies by usage |
| Hybrid Pricing | Flat per-seat fee for baseline coverage plus additional usage-based costs for heavy workloads or advanced features. | Mixed / variable |
| Outcome-Based (Implementation) | Full remediation of audit findings, architectural refactoring, and implementation support based on defined scope. | Custom pricing |
Every engagement starts with a clear, scope-based proposal after the discovery call, so you know exactly what will be delivered.
From healthcare and fintech to real estate, education, and SaaS, our team runs AI code audits across industries with different compliance standards, data sensitivities, and performance requirements. Every audit is calibrated to the regulatory landscape and user expectations of your specific market, so findings are directly actionable, not generic.
Healthcare
Fintech
Real Estate
Education
Travel & Hospitality
Supply Chain & Logistics
Fitness & Wellness
Food Delivery
Media & Entertainment
E-commerce & Retail
Automotive & Mobility
SportsAn AI code audit is only as useful as the engineers running it. If the reviewers have never shipped and scaled a production system, the report will miss what actually matters.
Senior Engineers, Not Automated Scanners
Tool-Agnostic, Stack-Fluent
Prioritized Findings, Not a 40-Page PDF
Honest Build vs Rebuild Advisory
Compliance Built Into the Audit
Direct Access to the Audit Team
Post-Audit Remediation Support
Share your stack, your user scale, and your concerns. We will tell you exactly what the audit covers and what it costs.
From Our Portfolio
SolGuruz has shipped 102+ products across 14 industries. See how we have helped founders and engineering teams evaluate and improve their AI-built applications.
AI-Powered Healthcare Staffing App Solution
Explore our AI-powered healthcare staffing app case study. See how SolGuruz's expertise turns nurse staffing challenges into a system that holds up on a live rota.
Key Outcomes
AI Clinical Notes Platform That Turns 2-Hour Documentation Into One Click
NoteCliniq transforms clinical conversations into HIPAA-compliant SOAP notes in seconds, eliminating 2+ hours of manual documentation daily for busy clinicians.
Key Outcomes
AI-Powered Trip Planner App Solution
Explore how SolGuruz created an AI-powered trip planner app. It is an exclusive AI vacation planner that helps with finding hotels, cabs, places, and complete itineraries.
Key Outcomes
AI Journaling App Development Solution
Discover with us how we built Dream Story, an AI-powered journaling application that helps manage daily notes by capturing your thoughts and emotions. A one-stop solution for those who love noting down daily summaries!
Key Outcomes
Explore the latest reviews from our existing clients to get a better picture of our services and collaboration.
AI Development for Consultancy Firm
SolGuruz successfully delivered the project on time, meeting the client's expectations. The team demonstrated strong technical skills and efficient communication through virtual meetings and email updates. Their flexibility and value for money were also commendable.
Summarized from Matt Kuperholz's Clutch review
Matt Kuperholz, AI Scientist & Advisor, Matt Kuperholz Consultancy
Melbourne, Australia
UX/UI Design, Prototyping & Graphic Design for AI Company
SolGuruz has finished the designs for the various items requested, and the client has received positive stakeholder feedback. SolGuruz's project management is good, and they deliver on time. The client also praises the team's accommodation of changing requirements.
From the verified Clutch review by
Founder & CEO, AI Company
Fremont, California, United States
Custom Software Development (AI Content Platform Development) for AI Content Solutions Company
SolGuruz's efforts were met with positive acclaim, thanks to their attention to detail and agile methods. The team was highly receptive to questions and feedback, and internal stakeholders were particularly impressed with the vendor's personable approach and flexibility.
From the Clutch review by
CEO, AI Content Solutions Company
Spain
AI projects rarely need just one capability. These are the AI services that most often run alongside this one.
Quick answers to the questions our clients and prospects ask most. If yours is not here, our team is one click away.
Jay NandwanaSenior Technical Business Consultant
Need advice tailored to your project?
FAQs cover the common ground. For decisions specific to your tech stack, timeline, and team, talk to Jay and the team, who have shipped what you are planning.
Or email us hello@solguruz.com
An AI code audit is a structured review of code built or assisted by tools like Cursor, Lovable, Bolt, or Claude Code. It evaluates security, architecture, scalability, dependencies, and compliance using automated scanning and senior engineer review.
Yes. If you shipped an MVP fast with AI coding tools like Cursor, Lovable, Bolt, or Claude Code, we assess whether it is production-ready - security, architecture, scalability, and maintainability - and hand you a prioritized remediation plan before you scale or raise.
In 2026, AI code audits are commonly requested by CTOs, founders, and engineering teams working with AI-generated or inherited codebases. It is especially relevant before fundraising, scaling, or technical due diligence in AI-first products.
AI-generated code is not automatically safe for production without review, even in 2026, when AI tools are more advanced. A production readiness AI code audit is still required to identify security, scalability, and architecture risks before real users are exposed.
AI code audit pricing typically ranges from $3,000 to $25,000+, depending on scope and complexity. Final pricing is shared after a scoped discovery call based on your codebase.
An MVP audit usually takes 5-7 business days, while standard audits take 2-3 weeks. Enterprise or compliance-heavy audits can take up to 3-4 weeks.
Yes, we regularly perform AI code audits on codebases built with Cursor, Lovable, Bolt, v0, Claude Code, and similar tools. Each tool's generated patterns and risks are specifically evaluated.
A code review checks specific changes before merging, while an AI code audit evaluates the entire system. It covers architecture, security, performance, and scalability with a full remediation roadmap.
Most AI-generated codebases can be fixed through targeted refactoring rather than full rebuilds. An AI code audit includes a build-vs-rebuild analysis to guide the right decision.
Yes, if your product was built using AI tools, an audit is recommended before fundraising. Investors conduct technical due diligence, and unaudited code can create risk concerns.
No, the AI code audit runs on a secure copy of your code. Any testing is done in staging, so your live system is not affected.
Yes, we provide post-audit support where senior engineers help fix critical issues and implement the recommended roadmap. Teams can also get direct remediation support.
Deep dives into AI-generated code challenges, security best practices, and production readiness.
