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.
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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 123+ independently verified client reviews across Clutch, Google, Glassdoor, and other platforms, averaging 4.9 ★★★★★ ratings.
Online Art Education Platform
I've been working with SolGuruz for almost five or six years. They say you have to pick two of the three: cost, quality, or speed. SolGuruz has been the only company that I have ever experienced that has delivered on all three of those pillars at the same time. They deliver the highest quality code, designs, and projects at the best price and within timelines you think are impossible. You guys are amazing and unmatched.
Vice President & Co-Founder, Sparketh | Shark Tank Featured Startup
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
Mobile App & Web App Dev & UX/UI Design for Social Platform / Daily Journaling App
SolGuruz has delivered the initial design and meets weekly to track progress. The team coordinates the project through a project manager as the primary client contact. SolGuruz is communicative and provides follow-up to meet requirements. They communicate via virtual meetings, emails, and messages.
Summarized from Robert Mond's Clutch review
Robert Mond
Principal, The Master Storytellers LLC & Founder/CEO, DreamStoryLive | New Mexico, USA
Radon Compliance Software - Website & Mobile App Dev for Home Services Company
SolGuruz delivered the project on time and had outstanding project management skills. Furthermore, the team communicated effectively and cohesively through Microsoft Teams. Overall, the service provider's performance led to the client's satisfaction.
Summarized from Chad Smith's Clutch review
Chad Smith
Owner, Monarch Radon Testing LLC & Founder, RadonSketch | Colorado, 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.
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4.9 / 5 on Clutch - independently audited reviews from real clients who have shipped products with SolGuruz.
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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 leverages 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, or Bolt, 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.
Understanding your product, tech stack, deployment setup, and how the codebase was built to establish full context.
Analysis of system design, structure, and scalability patterns to identify architectural gaps and long-term risks.
Evaluation of authentication, APIs, and third-party dependencies to detect vulnerabilities and compliance issues.
Assessment of maintainability, performance, database design, and coding standards affecting production stability.
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
Fitness & Wellness
Real Estate
Travel & Hospitality
Food Delivery
Fintech
Education
Media & Entertainment
E-commerce & Retail
Supply Chain & Logistics
Automotive & Mobility
Sports
An 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
Every audit is led by engineers with 10+ years of production experience, not a junior team running a scanner. Automated tools catch only 20-30% of real-world vulnerabilities (OWASP Benchmark); the remaining 70% require human reasoning across business logic, auth, and architecture.
Tool-Agnostic, Stack-Fluent
We have audited codebases built with Cursor, Lovable, Bolt, Claude Code, Copilot, v0, Kiro, Replit, and Windsurf. We know how each tool fails, where it cuts corners, and what its generated code typically misses.
Prioritized Findings, Not a 40-Page PDF
SolGuruz audit reports rank every finding by business impact and remediation effort so your team knows exactly what to fix first. You get a working document, not a compliance artifact nobody reads.
Honest Build vs Rebuild Advisory
If your codebase is not worth fixing, we will say so and show you the cost comparison both ways. We do not pad scopes to sell refactor hours that will not pay off.
Compliance Built Into the Audit
For healthcare, fintech, and regulated businesses, our audits map directly to HIPAA, GDPR, SOC 2, PIPEDA, and APPI. You get a compliance gap register ready to hand to your auditor.
Direct Access to the Audit Team
You communicate directly with the senior engineers running your audit, not through account managers. Faster feedback, fewer rounds of clarification, no translation layer.
Post-Audit Remediation Support
If you want our team to close the critical gaps, rebuild specific modules, or embed a senior engineer into your team to execute the roadmap, that path is available and quoted transparently.
If you are evaluating audit code AI partners, share your repository access and stack details, and we will return a scope-based proposal within 48 hours.
Share your stack, your user scale, and your concerns. We will tell you exactly what the audit covers and what it costs.
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Explore the latest reviews from our existing clients to get a better picture of our services and collaboration.
EdTech Platform Development
SolGuruz has delivered the project on time, meeting the client's expectations. They have communicated frequently and promptly via virtual meetings, ensuring an effective workflow. Their responsiveness has been a hallmark of their work.
From the verified Clutch review by
CTO, Education Company
Germany
UI/UX Design & Research for Mobile App for Tech Startup
SolGuruz's efforts have led to extensive research into apps, and their work has met the client's expectations. The team meets deadlines, stays within budget, and has demonstrated remarkable communication skills throughout the engagement. SolGuruz's attention to detail is a hallmark of their work.
From the verified Clutch review by
CEO/Freelancer, Tech Startup
United Kingdom
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
Quick answers to the questions our clients and prospects ask most. If yours is not here, our team is one click away.
Need advice tailored to your project?
FAQs cover the common ground. For decisions specific to your tech stack, timeline, and team, talk directly to a senior engineer who has shipped what you are planning.
