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$
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I will review and audit your ai generated codebase
Technical Analyst, Code Review, Software Audits
I review AI-assisted software projects for architecture, codebase structure, documentation, workflow quality, and hidden technical risks. My focus is on helping founders and small teams spot drift, un...
About this Gig
I review AI-generated and AI-assisted C# projects that have grown quickly and may be starting to drift.
Instead of only looking for individual bugs, I review the codebase as a system: structure, responsibility boundaries, technical debt, testing quality, documentation alignment, maintainability, dependency risks, and signs that repeated AI changes have made the project harder to understand or safely extend.
This is especially useful for indie projects, MVPs, prototypes, and software built with tools such as ChatGPT, Claude, Codex, Cursor, Copilot, Replit, Lovable, and similar AI coding tools.
You receive a clear written assessment with healthy areas, prioritized findings, evidence, risk level, and practical next steps.
I do not provide penetration testing, security certification, or automatic production-readiness approval.
Large repositories, multiple services, specialized runtime environments, or extensive verification may require a custom offer.
If your project works but you are no longer sure whether the foundation is still healthy, this review is designed for that situation.
Development technology:
C#
Expertise:
Clean Code
•
Design patterns
•
Unit tests
•
Version control
My Portfolio
FAQ
What exactly do you review?
I review codebase structure, maintainability, architecture and responsibility boundaries, technical debt, testing quality, documentation alignment, dependency risks, AI-development drift, and other material project-health issues supported by evidence.
Do you fix the issues you find?
Not by default. This Gig is for independent review and assessment. Fixes or remediation can be scoped separately after the audit.
Do you run the project?
Basic and Standard are primarily static reviews. Premium may include limited targeted build/test verification where practical. Environment-heavy runtime reproduction is scoped separately.
Can you review a large repository?
Yes, but large monorepos, multiple services or repositories, and unusually complex projects should be discussed before ordering so the scope can be confirmed.
What do I receive?
A written technical assessment explaining what appears healthy, what needs attention, why it matters, supporting evidence, and prioritized next steps.
Does AI-generated code automatically count as bad?
No. AI use is context, not a defect. Findings are based on the supplied project and evidence in the implementation.
My AI-built project works. Do I still need a review?
Possibly. AI-assisted projects can work while still accumulating duplicated logic, inconsistent patterns, weak tests, unclear structure, or technical debt. The goal is to identify those risks before the project becomes harder to change.
Can you certify my project as production-ready?
No. The audit can improve confidence and identify risks, but it is not a certification or guarantee that no defects remain.
What if my project needs special tools or infrastructure?
If meaningful review requires proprietary software, paid services, cloud infrastructure, hardware, unusual build environments, or substantial runtime setup, I will confirm whether it fits the package scope or requires a custom offer.
