AI-Generated Code Audit

AI code assurance is an independent audit of code produced by AI coding tools (GitHub Copilot, Cursor, Tabnine, CodeWhisperer), coding agents, or vibe coding platforms (Lovable, Bolt, Replit, Claude Code). It verifies the code is production-ready, architecturally sound, and solves the intended business problem — while preventing issues from reaching live environments.

Engineering and product leaders (CTO, VP of Engineering, Head of Quality) at companies already shipping AI-generated software, especially fast-moving teams where developers accept AI or agent output they may not fully understand. If your team uses Copilot, Cursor, or similar tools daily, you need this.

We target failure modes specific to AI-generated code: architecturally inconsistent decisions, silent business-goal drift, hidden technical debt, hallucinated dependencies, incorrect integration assumptions, and untested edge paths. Our review is performed independently — not by the team that wrote (or prompted) the code.

After the audit, you receive a clear report containing: architecture review, business-goal conformance assessment, test-coverage gaps, risk and defect hotspots, AI-specific defect patterns found, and a prioritized remediation plan with owners, SLAs, and 90-day targets you can act on immediately.

When a team spends too much time working with AI-generated code, engineers can accidentally overlook issues due to familiarity bias. An impartial external evaluation is what your board, customers, and auditors can actually trust — with severity ratings, reproduction paths, and clear go/no-go release gate recommendations.

Yes, we need read-only access to your repository. Our QA engineers perform all activities under a strict NDA. We can work within your secure or on-premises environment, and we don't retain your code after the engagement completes.

The assessment delivers findings and a prioritized remediation plan. We can also provide remediation and retesting as a follow-up engagement if you'd like us to close the gaps. Many clients start with the audit, then engage us for production engineering.

The audit is methodology-driven and applies the same standards for architecture soundness and business fit across all technology stacks. We cover all major languages (TypeScript, Python, Java, Go, C#, Rust, etc.) and frameworks. We'll confirm the exact scope based on your codebase.

A typical assessment runs from 3–10 business days depending on codebase size and scope. We agree on milestones upfront before starting. Standard audits (single application, up to ~50k lines) are delivered in 5 business days.

Book an assessment call. We'll scope your codebase, run the audit, and deliver the report with a prioritized remediation plan. Pricing starts from AED 499 per application.