QueueGate is a repo-native lifecycle governance layer. Thirteen gates check scope, evidence, risk, integrity, review, merge, closure, and release conditions before agent-generated work is allowed to count.
It returns reason-coded blockers and remediation — not conversational judgment.
An AI coding agent will tell you it finished. That report is a claim, not a state. QueueGate refuses to let agent-generated work count until it has passed the gates that check scope, evidence, risk, integrity, review, merge, closure, and release — and when a gate fails, you get a reason code and a remediation path, not a conversation.
When a gate fails, QueueGate does not negotiate or explain in prose. It emits a reason-coded blocker and a remediation path — a deterministic verdict your pipeline can act on.
It is a repo-native governance layer that runs alongside CI and permissions — not instead of them.
No. It is a governance layer that runs in your repository. It does not generate prose judgments — it returns reason-coded blockers and remediation paths.
No. QueueGate runs alongside CI and repository permissions, adding lifecycle gates around agent-generated work. Your existing protections stay in place.
QueueGate is the lifecycle governance layer — the gates and states. MetaCortex Code is the governed code-production system that generates work and drives it to closure. They share the same discipline at different altitudes.
EMPTY is the terminal state — all obligations discharged and every gate satisfied. Only the gates can move a work item to EMPTY; a status report cannot.
When a gate fails, QueueGate emits a structured code identifying which gate failed and why, plus a remediation path — deterministic output your pipeline can act on, not a conversation.
QueueGate is at v1.0.0, available for controlled commercial evaluation. Contact us to request an evaluation.
v1.0.0 is open for controlled evaluation.