Your PR, reviewed by
specialized AI reviewers.

10 agents review security, logic, performance, and more — in parallel, on every PR. You bring the LLM key. RevHive brings the team.

Security Logic Performance Tests Refactor +4 more

Open source · BYO Key · No vendor lock-in

RevHive Review Report
CRITICAL
Risk Score 91 / 100
LOW MEDIUM HIGH CRITICAL
1 Critical 1 High 8 Medium 11 Low
🔴
Remote Code Execution via shell injection
SecurityAgent · Line 45
User input passed unsanitized to subprocess.call()
🟠
SQL Injection via string interpolation
SecurityAgent · Line 12
User-controlled input interpolated into SQL query
🟡
N+1 Query Pattern in loop
PerformanceAgent · Line 28
Database query executed inside a loop
🟡
Insecure deserialization with pickle.loads
SecurityAgent · Line 33
Arbitrary code execution via untrusted pickle data
… 18 more findings across 9 agents
🎯 Coordinator: 21 findings · 3 conflicts resolved · merge blocked

Real findings caught by RevHive

These are the kinds of issues RevHive catches on real codebases — things that slip past single-prompt reviews and human fatigue.

🔴 CRITICAL
SQL Injection
f-string interpolated into raw SQL query. Allows full database compromise.
SecurityAgent
🔴 CRITICAL
Hardcoded API Secret
Production credentials committed in source code. Immediate rotation required.
SecurityAgent
🟠 HIGH
Race Condition
Concurrent writes to shared state without locking. Data corruption under load.
LogicAgent
🟠 HIGH
Missing Auth Check
Admin endpoint accessible without authentication. Horizontal privilege escalation.
SecurityAgent
🟡 MEDIUM
N+1 Query
DB query inside a loop. O(n) round-trips instead of a single batched query.
PerformanceAgent
🟡 MEDIUM
Retry Logic Flaw
No exponential backoff. Thundering herd on upstream failure.
LogicAgent

How RevHive works

Not a single prompt. A multi-agent system with orchestration, deduplication, and conflict resolution.

1
Push Code
Open a PR. RevHive triggers automatically via GitHub App or CI.
2
9 Agents Review in Parallel
Each agent is a domain expert. They run simultaneously — security, logic, performance, style, and more.
3
Coordinator Synthesizes
Deduplicates overlapping findings, resolves conflicting severity via LLM, calculates a 0–100 risk score.
🔒
SecurityAgent
Injection, auth flaws, secrets, weak crypto
🧠
LogicAgent
Edge cases, race conditions, error handling
PerformanceAgent
N+1 queries, memory leaks, algorithmic complexity
🎨
StyleAgent
Naming conventions, formatting, documentation
🏗️
RepoAgent
Design patterns, SOLID principles, module structure
🔧
RefactorAgent
Design patterns, code transformation
🩹
FixAgent
Generates corrected code with root cause analysis
🧪
TestAgent
Unit tests, edge cases, security regression tests
📝
DocAgent
API docs, architecture docs, usage examples
🎯
Coordinator
Deduplicates, resolves conflicts, calculates risk score, generates the final report

Simple, transparent pricing

CLI mode is free forever. GitHub App tiers unlock deeper CI/CD integration and team features.

Free
$0
forever
Get Started
  • 4 core review agents
  • 50 reviews/month
  • 1 concurrent review
  • PR summary comment
  • CLI / CI mode
  • Inline annotations
  • Commit status gate
  • Review history
  • Slack notifications
  • Priority support
RECOMMENDED
Pro
$12/mo
per installation
Install & Upgrade
  • All 9 agents
  • Unlimited reviews
  • 10 concurrent reviews
  • Inline PR annotations
  • Commit status gate
  • CLI / CI mode
  • 30-day review history
  • Slack notifications
  • Permanent history
  • Email support (48h)
Business
$25/mo
per installation
Install & Upgrade
  • All 9 agents
  • Unlimited reviews
  • 100 concurrent reviews
  • Inline PR annotations
  • Commit status gate
  • CLI / CI mode
  • Permanent history
  • Slack notifications
  • Priority support (4h SLA)

All plans require your own LLM API key. You only pay your LLM provider for tokens — no markup from RevHive.

Typical cost per PR review: ~$0.05 with DeepSeek · ~$0.05–0.15 with MiMo · ~$0.10–0.30 with GPT-4o. You control spend.

Works with your LLM stack

Bring your own key. No token markup. No vendor lock-in.

DeepSeek
~$0.05/review
MiMo
Free credits available
OpenAI
GPT-4o
Anthropic
Claude
Qwen
Alibaba
Any
OpenAI-compatible
CLI / CI
Self-hosted

Runs on your machine or CI runner. Code never leaves your infra.

Use your own LLM key via env vars or CI secrets.

Free forever — you only pay your LLM provider.

pip install revhive-ai
macOS? Use pipx install revhive-ai instead
GitHub App
Managed integration

Install the App. Paste your LLM key in the auto-created dashboard — done. DeepSeek is default (~$0.05/review).

Starts free (50 reviews/mo, 4 agents). Pro $12/mo unlocks all 9 agents, inline annotations, and commit status gates.

Start in 30 Seconds

1
Install
pip install revhive-ai
macOS? Use pipx install revhive-ai
2
Set Key
export LLM_API_KEY=your-key
3
Review
revhive review --diff HEAD~1

No key? Try revhive demo first — no API key required.

Frequently Asked Questions

If I have to bring my own key, what am I paying RevHive for?
Your key gives you a model. RevHive gives you a system — 10 specialized agents (9 review + 1 coordinator), semantic deduplication, conflict resolution, risk scoring, and GitHub integration. You pay your LLM provider for tokens. You pay RevHive for the GitHub App: Free for 50 reviews/month (4 agents), $12/mo Pro for unlimited reviews with all 9 agents + inline comments + commit status gates, or $25/mo Business adding Slack notifications, permanent history, and priority 4h SLA support.
Is my code sent to external servers?
In CLI mode, your code stays on your machine and is only sent to your chosen LLM provider. In GitHub App mode, PR diffs are relayed through our server to the LLM provider — your source code is never stored.
How much does the LLM API cost?
A typical PR review uses ~35K tokens — ~$0.05 with DeepSeek, ~$0.06 with MiMo, ~$0.15 with GPT-4o. You control costs through your own LLM account — no markup from us.
What languages are supported?
Python, JavaScript, TypeScript, Go, Rust, Java, C/C++, Ruby, PHP, Swift, and Kotlin have optimized patterns. Any language works via LLM understanding.
How is this different from GitHub Copilot code review?
Copilot uses a single model pass. RevHive runs 10 specialized agents in parallel — 9 domain-specific reviewers plus a Coordinator that deduplicates and resolves conflicts. The result is broader coverage and a structured risk score.

Ready to ship safer code?