How the Review Works
A transparent, reproducible process designed to give you actionable findings — not a checklist report.
Submit
Share your code via a private GitHub repo, zip file, or PR link. Tell us what to focus on.
- Private GitHub repository (read-only access)
- Zipped archive via secure upload link
- GitHub Pull Request URL
- Context on what the code does
- Specific concerns or areas of focus
Review
An expert manually reads every line — no automated linters, no copy-paste checklist.
- Manual line-by-line reading
- Security vulnerability analysis
- Logic and edge case verification
- Architecture & design pattern review
- Dependency and supply chain check
Report
You receive an annotated diff, a written summary, and a video walkthrough (Tier 2+).
- Annotated diff with inline comments
- Written report with severity ratings
- Prioritized list of recommended fixes
- Loom video walkthrough (Deep Review+)
- Executive summary (Full Audit)
Ship
Apply the fixes, ask any questions, and re-submit for 50% off if you want a second pass.
- Apply fixes with confidence
- 2-week async Q&A (Deep Review+)
- Re-review available at 50% off
- 30-day follow-up support (Full Audit)
- Deploy knowing your code is production-ready
How to Share Your Code
We accept three submission methods. All are treated with full confidentiality.
GitHub Repository URL
Invite us as a read-only collaborator to a private repo. We will review the specified branch or commit. Access is revoked after delivery.
Zip Archive
Package your code as a .zip and share it via our secure encrypted upload link. We will confirm receipt and begin review.
Pull Request Link
Share a GitHub PR URL with read access. Ideal for targeted feature reviews before merge. We will review the diff and surrounding context.
Your Code Stays Private
All code submitted for review is treated with strict confidentiality. We never share, publicly discuss, or use your code for any purpose beyond the scope of your review engagement.
Code is stored only for the duration of the review and deleted promptly upon delivery of the final report. We do not use your code to train models, build datasets, or derive any secondary products.
If your project requires a formal NDA, we are happy to sign one before you share anything. Contact us and we will send one over within 24 hours.
Confidentiality Commitments
- Code never shared with third parties
- No use in training datasets or AI models
- Deleted after report delivery
- NDA available on request
- Secure encrypted upload channel
- GitHub access revoked post-review
Typical Issues in AI-Generated Code
These are the patterns we catch most frequently — the ones that look fine locally but cause incidents in production.