Vibe coding ships fast.
3 models catch what 1 misses.
We ran the same AI review 15 times. 3 said LGTM — on a bug that caused 500 crashes.
Ensemble runs 3 models on every PR. If only one flags it, it's noise. If all three flag it, you need to look.
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How Ensemble reviews your PRs
Four steps. Every PR. Fully automatic.
PR opens
A pull request is opened. Ensemble fetches the diff automatically.
3 independent reviews
Senior, Security, and Architecture reviewers analyze the code independently. No shared context.
Inconsistency detection
Findings compared across runs. Agreement = high confidence. Disagreement = flag for human review.
Results posted
A single review comment on your PR. Only findings that held up across reviewers.
What a real ensemble review looks like
Three independent reviewers. One consensus. Bugs a single model would let through.
def validate_token(token: str) -> dict: - payload = jwt.decode(token, SECRET_KEY, - algorithms=['HS256'], - options={'verify_exp': False}) - return payload + try: + payload = jwt.decode(token, SECRET_KEY, + algorithms=['HS256']) + return payload + except jwt.ExpiredSignatureError: + raise AuthError("Token expired")
ExpiredSignatureError is caught. InvalidSignatureError and DecodeError will propagate as unhandled exceptions, returning HTTP 500 instead of 401.algorithms=['HS256'] with no issuer validation. An RS256 token signed by a different key will raise an opaque error with no audit trail.except branch is untested. A future refactor could silently remove the exception handling without any test failure.Not a reviewer.
An adversarial quality gate.
One review is a coin flip. Ensemble converges to 100%.
We ran Claude Sonnet 15 times on a real bug. Each additional run increases the chance of catching it — until it's nearly certain.
vs. single-run AI
One run has a 40% chance of catching a real bug. Three runs push it to 82%. Five to 96%. More runs, fewer misses.
Multi-model agents
Mix Claude, GPT-4o, or both. Assign the right model to each role. Not locked to one provider.
Simple, transparent pricing
Start free. Scale when your team is ready.
Permissions: pull_requests:read contents:read
| Free | Team | Pro | |
|---|---|---|---|
| Reviews / month | 30 | Unlimited | Unlimited |
| Models | Haiku | Sonnet | Claude + GPT-4o |
| Review lenses | All 3 | All 3 | All 3 + custom |
| Ensemble mode | 5/month | ✓ | ✓ |
| Priority support | — | — | ✓ |
| SSO & audit logs | — | — | ✓ |
Frequently asked questions
One review is a guess.
Five reviews earn the merge.
Two steps to your first automated review.
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