Architecture & data
System boundaries, data ownership, coupling, duplication, state, concurrency and scaling assumptions.
Independent AI code review / UK
Know what the software does. Know where it can fail.
A senior engineering review for AI-built and AI-assisted applications — before hidden shortcuts become expensive surprises.
UK-based and available internationally. Independent of AI coding platforms and scanning vendors.
Audit / 021Code + system + operating context
ArchitectureBoundaries, data flow, coupling and scalability.
SecurityAccess, input, secrets, dependencies and exposure.
OperationsFailure, deployment, recovery and observability.
OwnershipTests, clarity, documentation and changeability.
01 / Why review it
Built quickly does not mean built badly. It does mean a few important questions may have gone missing.
AI is very good at producing the next plausible piece of code. It is less good at taking responsibility for the whole system. That part is still yours — or, for the duration of the review, ours.
02 / Scope
A proper system review, not a scanner report wearing a tie.
Automated analysis is useful, and we use it where it helps. It cannot understand why the software exists, who depends on it or what a failure would actually cost. That needs manual investigation and engineering judgement.
Security surface
Authentication, authorisation, validation, secrets, sensitive data, exposed operations and dependency risk.
Reliability & operations
Failure handling, retries, timeouts, deployment, rollback, backups, logs, metrics and alerts.
Maintainability
Code organisation, tests, dependencies, consistency, documentation and the cost of future change.
03 / Output
You leave knowing what to do next.
System map
A legible view of the important components, boundaries and data paths.
Risk register
Evidence-backed issues grouped by impact, likelihood and urgency.
Action plan
What must happen now, what can wait and what should be monitored.
Read-out
A direct walkthrough for technical and non-technical decision-makers.
Optional remediationThe review can stand alone, guide your existing team or continue into a focused repair phase with Siege21.
04 / Approach
Proportionate to the software and its consequences.
A small internal tool and a public platform handling customer data should not be judged against an identical checklist.
The review considers exposure, data sensitivity, recoverability, user impact, expected lifespan and the team's ability to operate the system. This prevents low-value perfectionism while keeping serious risk visible.
Siege21 assurance trace: inspect → explain → repair → verify.
05 / Questions
AI code audit FAQs.
What counts as AI-generated code?
The service applies whether an application was mostly generated from prompts, built with an AI coding assistant, created using a low-code platform or simply developed unusually quickly. The provenance matters less than the need for independent assurance.
Will you identify every security vulnerability?
No responsible reviewer should promise that. The audit examines common and context-specific security risks in the code and architecture, but it is not automatically a formal penetration test or certification.
Can you audit a partially completed application?
Yes. Reviewing before launch often creates more options and avoids building further on unstable foundations. The scope will distinguish incomplete work from genuine defects.
What technology stacks can you review?
Siege21's expertise is in web applications, C#/.NET, Typescript / Javascript, APIs, backend services, SQL, search and modern deployment environments. Suitability for a particular stack is confirmed honestly before engagement.
Do you work outside the UK?
Yes. Siege21 is UK-based and works remotely with international clients where the project, access and working arrangements are suitable.
Independent engineering review
Before the software carries more weight, test the foundations.
Send a short description of the application, its stage, technology and the decision you need to make.
Discuss your codebase