Code-governance answer

How Do You Govern AI-Generated Code?

Direct answer

Govern AI-generated code by connecting every change to authorised work, an exact repository baseline, reproducible test evidence and independent review of the candidate SHA. Keep integration and production release as separate permissions. This makes the code and its delivery record authoritative—not the agent's explanation or confidence.

01

Start with authorised scope

The task should define intended behaviour, protected boundaries and required evidence before editing begins. An agent cannot expand its own authority merely because it finds adjacent work.

02

Verify identity and evidence

Review the exact commit, its diff and reproducible checks. If the candidate changes, review must run again against the new identity.

Nexus preserves reviewer findings and remediation history as an AI coding audit trail.

03

Separate technical acceptance from release

A candidate may pass technical gates and still require a human product, security or production decision. Explicit authorities make that boundary visible.

Nexus launch access

Be first to know when Nexus launches.

Register your interest now and we will let you know when the autonomous AI software engineering control plane is ready.

Express Interest ↗