Release governance for AI-assisted engineering
Verify AI-generated code faster. Ship safer, higher-quality software.
AI-ReleaseGate analyzes pull requests, QA readiness, approvals, deploy risk, and evidence so your team can catch risky AI-generated changes before they affect users.
AI-ReleaseGate FlowOne governed path from AI-built PR to deploy evidence.
Governed01Inspect
PR AnalysisDiff, files, and risk surface
02Score
AI ReviewCode impact and risky patterns
03Require
QA GateRequired checks and owners
04Route
ApprovalRole-based release signoff
05Control
Deploy GateBlock or allow promotion
06Record
EvidenceAudit-ready decision record
Release decision evidence
Turn an AI-built pull request into a decision your team can trust.
The gate captures what changed, why it is risky, which checks are missing, and what evidence is required before a release can move forward.
Release Decision Recordplatform-api / PR #184
Gate need_qaDecisionNEED_QA
Policyproduction
OwnerRelease Manager
PR diff analyzed18 files
Impacted surface/api/releases
QA completion58%
Evidence packPending
Risk findings4 active blockers
high
DB migration detected
Complete QA checklist
Medium
Audit log contract changed
Engineering Lead approval
Medium
Production evidence schema impacted
Rollback plan review
Approval pathEvidence required
PR analysis completedHIGH risk and 18 changed files recorded
QA evidence missing58% complete · Complete QA checklist
Release approval waiting1 / 3 approvals · QA is 58% complete and must be finished before production deploy.
For teams using AI coding tools
Code is moving faster. Release control has to move with it.
Codex, Cursor, and Copilot can increase PR volume quickly. AI-ReleaseGate helps teams decide which changes need QA, approval, rollback proof, or deploy blocking before production risk compounds.
GitHub PR diff and risk analysis
QA checklist generated from code impact
Approval requirements before merge/deploy
Deploy Gate API for GitHub Actions
Evidence pack for audit and incident review
beta pricing
Start with Standard. Upgrade when advanced QA and policy controls become critical.
Standard covers baseline release governance. Premium adds deeper PR analysis, LLM-generated QA, and stronger policy controls for teams scaling AI-assisted development.
| Plan | Status | Pricing | Best for | Included |
|---|---|---|---|---|
| Standard$20 per user / month after beta | Available now | Free through Jun 30, 2026 UTC | Basic release analysis, common QA, and default gate controls |
|
| PremiumLaunch pricing planned | Planned for July 2026 | $50 per user / month | Deep analysis, LLM-generated PR QA, and policy controls |
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