AI code supervision

The human eye on AI-generated code

Using Copilot, Cursor or Kimi? I review your AI code remotely before production. Hallucination detection, dependency audit, architecture validation, security hardening. 44 years of code as a quality filter. From the Atlantic coast, in your Git workflow.

Discuss a mission

What the supervision covers

Systematic review of AI-generated Pull Requests
Detection of phantom or obsolete dependencies
Verification of deprecated or misused APIs
Validation of target architecture (not just syntax)
Security audit of generated code (OWASP, injections, leaks)
Detection of technical hallucinations (functions that do not exist)
Verification of maintainability and technical debt
Implementation of human-in-the-loop pipelines
Review report with severity and recommendations

For whom?

Startups coding with AI

Your MVP was 80% AI-generated. You need to harden it before fundraising or production release.

Web agencies

Your developers use Copilot or Cursor. You need a senior to validate architecture before client delivery.

Technical teams

You integrate AI into your CI/CD but do not want to deploy unverified code to critical production.

Custom quote

Mission-based or monthly retainer

First contact free. Initial codebase audit to evaluate AI-generated debt.

Book a call

The process

Step 1

Initial codebase audit

Analysis of existing code: AI vs human proportion, tools used, deployment pipeline, visible technical debt.

Step 2

Iterative review

PR review, dependency audit, security tests, architecture validation. Structured feedback with severity.

Step 3

Pipeline and handover

Implementation of human + AI guardrails. Documentation of validated patterns. Team training on common traps.