AI-generated code review
AI wrote the code. A senior engineer should review it.
Independent review of Cursor, Copilot, and Claude Code output — security, architecture, data handling, and ship-readiness — before production users, enterprise buyers, or investors dig in.
AI-generated code review for teams shipping with Cursor, Copilot, and Claude Code
AI coding tools accelerate delivery. They also produce confident-looking code that can miss auth boundaries, leak secrets, invent architecture, or skip error handling. Maxiom's AI-generated code review puts a senior engineer on the diff — not a linter report — so you know what is safe to ship, what must be fixed, and what needs an owner before the stakes rise.
- 2002
- Founded
- $100M+
- Delivered
- 98%
- Satisfaction
The problem
Confident code is not correct code
AI tools generate plausible implementations that can still miss authorization checks, mishandle secrets, or encode the wrong business rule.
PR volume outruns senior attention
When every engineer ships with AI assistance, review capacity becomes the bottleneck — and silent risk accumulates in the main branch.
The forcing function arrives suddenly
Enterprise security review, investor diligence, or a production incident forces a hard look at code nobody fully owned.
What we review
Senior judgment on the diffs AI tools leave behind.
We inspect the code that matters for risk — not every cosmetic change — and score what must change before you ship with confidence.
Security and secrets
AuthZ gaps, injection surfaces, credential leakage, insecure defaults, and dependency risk in AI-assisted changes.
Architecture and data flow
Whether generated features fit the system, create coupling debt, or break boundaries that will hurt at the next scale step.
Reliability and operations
Error handling, idempotency, logging, retries, and failure modes that demos never exercise.
Maintainability and ownership
Whether a human team can understand, test, and extend this code without reverse-engineering the prompt history.
Is this right for you?
The team shipping with Cursor daily
Velocity is up. Review bandwidth is not. You need a senior pass on AI-heavy PRs before they become production debt.
The founder pre-launch
The MVP was built fast with Copilot and Claude. Real users and real data are next. You need to know what breaks first.
The CTO before diligence
Investors or enterprise buyers will ask how AI-assisted code is governed. You need findings and a remediation story — not a shrug.
How our AI-generated code review works
Review only
Written findings and remediation roadmap. Best when your team can close issues internally.
Review plus remediation
Maxiom closes critical findings after the review. Best when velocity matters and senior fix capacity is thin.
- NDA signed before access
- Read-only repository only
- Senior engineers every time
- Report in 10 business days
Frequently asked questions
What is AI-generated code review?
A senior engineer review of code produced or heavily assisted by tools like Cursor, GitHub Copilot, and Claude Code. We evaluate security, architecture, reliability, data handling, and maintainability — then deliver severity-rated findings and a remediation plan.
How is this different from AI Code Audit?
AI Code Audit is a formal point-in-time findings package for broader AI-assisted codebases, often tied to enterprise sale or compliance deadlines. AI-generated code review is the sharper commercial engagement for teams that want a senior pass on recent AI-written work before merge, launch, or fundraise.
How is this different from Vibe Coding Governance?
Vibe Coding Governance assesses products built primarily through prompting with limited engineering process. AI-generated code review fits established or emerging teams that already use AI tools inside a repo and need senior judgment on specific output before it ships.
Which AI tools do you review for?
Cursor, GitHub Copilot, Claude Code, ChatGPT-assisted PRs, and similar AI coding workflows. The review targets the resulting code and architecture — not the vendor brand.
What do we receive?
A written findings report with severity ratings, concrete examples from your repo, prioritized fixes, and a live debrief with a senior engineer. Optional remediation can follow.
Will Maxiom run our code through third-party AI tools?
No. Review uses read-only repository access and direct senior engineer inspection. Proprietary source is not processed through third-party AI tools.
When should we request a review?
Before a production launch with real user data, before a security questionnaire or enterprise sale, before Series A diligence, after a large AI-assisted feature lands, or whenever an incoming engineer will inherit AI-heavy code.
Can Maxiom fix what the review finds?
Yes. Engage for review only, or review plus remediation where Maxiom closes critical findings so your team can keep shipping.
How long does an AI-generated code review take?
Most reviews complete in days to a couple of weeks after scoping and repository access, depending on PR volume, stack complexity, and whether remediation is included.
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