PullNova

AI-powered code review and CI/CD optimization. Catch bugs before they merge, ship 3x faster, and keep your engineering team in flow.

Explore Features
10K+
Developers
2M+
PRs Analyzed
3x
Faster Reviews
30+
Languages

PullNova Feature Overview

FeatureFreeProEnterprise
AI Code Review
CI/CD Intelligence
Security Scanning
30+ Language Support
Custom Rules
Priority AI Analysis
SLA Guarantee

Key Benefits

  • Reduce code review turnaround time by up to 70%
  • Catch security vulnerabilities before they reach production
  • Optimize CI/CD pipeline execution with intelligent caching
  • Improve code quality consistency across your engineering team
  • Seamless integration with GitHub, GitLab, Bitbucket, and more

Supercharge Your Workflow

PullNova plugs into your existing stack and starts delivering value from day one.

AI Code Review

Real-time PR analysis catching bugs, security issues, and performance regressions before they reach production. Context-aware, not just linting.

CI/CD Intelligence

Automatically detect flaky tests, optimize build pipelines, and slash CI minutes by up to 40% with intelligent caching and parallelization.

Security Scanning

Deep SAST/DAST analysis integrated into every PR. Catch OWASP Top 10 vulnerabilities, leaked secrets, and supply chain risks automatically.

Smart Refactoring

AI-powered refactoring suggestions that improve code quality, reduce technical debt, and enforce best practices across your entire codebase.

Team Analytics

DORA metrics, review turnaround time, and code health dashboards that help engineering leaders make data-driven decisions.

Deep Integrations

Native GitHub, GitLab, Bitbucket, Slack, Jira, and Linear integrations. Works with your existing CI/CD — GitHub Actions, GitLab CI, Jenkins, CircleCI.

How Teams Use PullNova

From startups to enterprises, engineering teams ship better code faster.

PR Review Automation

PullNova analyzes every pull request in under 60 seconds. It catches logic bugs, suggests performance improvements, checks for security vulnerabilities, and enforces team style guides — all before a human reviewer even looks at it.

CI/CD Pipeline Optimization

Stop paying for wasted CI minutes. PullNova identifies flaky tests, recommends parallelization strategies, and caches dependencies intelligently. Teams report 30-50% reduction in CI costs after enabling PullNova.

Technical Debt Management

PullNova tracks code complexity trends, identifies duplication, and suggests refactoring opportunities. It prioritizes the most impactful changes so your team can reduce tech debt without stopping feature work.

Compliance & Governance

Enforce SOC 2, HIPAA, and GDPR compliance requirements automatically. PullNova checks for PII leaks, enforces access control patterns, and generates audit-ready compliance reports for every deployment.

Simple, Transparent Pricing

Start free, scale as you grow.

Starter

Free

For individuals & open source


Unlimited public repos

AI code review

5 private repos

Slack integration

Get Started

Enterprise

Custom

For large organizations


Everything in Team

SSO / SAML

On-premise deployment

Custom integrations

Dedicated support

SLA guarantee

Contact Sales

Frequently Asked Questions

Everything you need to know about PullNova.

What makes PullNova different from other code review tools?

Unlike traditional static analysis tools, PullNova uses large language models to understand code context and intent. It catches semantic bugs, not just syntax issues, and provides human-readable explanations.

How long does it take to set up?

PullNova installs as a GitHub/GitLab app in under 2 minutes. It starts analyzing your first PR immediately with sensible defaults, and you can customize rules over time.

Is my code sent to third-party AI providers?

For Team and Enterprise plans, PullNova can run entirely within your infrastructure. For Starter, code is processed through our secure API with zero retention. We never train on your code.

Can I customize the review rules?

Absolutely. PullNova supports custom rule sets defined in YAML, team-specific style guides, and per-repository configurations. You can also train it on your team's historical code review decisions.