Cubic vs Octopus
Cubic
cubic.dev
Octopus
octopus-review.aiSide by side
| Figure | Cubic | Octopus |
|---|---|---|
| Price from | $30/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 13 | 5 |
| Spec score · Code review software | 9.3 (#2) | 8.6 (#11) |
| Spec score · AI Code Review Tools | 9.3 (#2) | 8.5 (#11) |
| CLI | The CLI installs with Cubic’s shell installer, supports local reviews and CI API-key authentication, and is documented for macOS, Linux and Windows. | The octp command-line client can trigger reviews, index repositories, query the codebase, manage knowledge documents, and report usage. |
| Company | The maker identifies itself as cubic and describes the company as backed by Y Combinator. | The site identifies SC Technology Limited as the company behind Octopus and gives its registered address as 3rd Floor, 86–90 Paul Street, London EC2A 4NE. |
| Product | cubic provides AI code reviews for pull requests and scans codebases to find bugs and security issues. | Octopus indexes a codebase for context and automatically reviews pull requests, posting severity-rated findings as inline comments. |
| Security | cubic says it is SOC 2 Type I compliant, encrypts data in transit with TLS 1.2+ and at rest with AES-256, and prohibits its AI providers from training on customer code. | The security overview says HTTP traffic uses TLS 1.2 or higher and OAuth tokens for listed third-party integrations are encrypted at the row level using AES-256. |
| Security controls | Cubic documents TLS 1.2 or newer in transit, AES-256 at rest, least-privilege GitHub access and isolated containers for reviews. | Authentication supports GitHub, Google, Microsoft/Entra ID, and magic links, with organization roles, revocable sessions, webhook verification, and audit logs. |
| Support | The Pro and Max plans include premium support and a shared Slack channel with cubic engineers, while Enterprise offers dedicated support. | The free cloud tier includes community support, and the maker invites users to report issues and contribute through GitHub. |
| What it does | Cubic reviews GitHub pull requests with repository-wide context and scans complete codebases for bugs, vulnerabilities and regressions. | Octopus indexes a complete codebase and automatically reviews pull requests with context-aware, severity-rated inline findings. |
Plans
Cubic
- StarterFree
- Starter FreeFree
- Team$30 a month
- Team$30 a month
- Team$40 a month
- Pro$79 a month
- Pro$79 a month
- Pro$99 a month
- Max$160 a month
- Max$160 a month
Octopus
- Cloud Free TierFree
- Self-HostedFree
- Self-HostedFree
- Cloud Usage-BasedPriced on request
- Cloud Usage-BasedPrice not published
In their own words
Cubic
Cubic reviews pull requests with AI and scans codebases for bugs and security issues. It checks proposed changes against the wider codebase and team rules, including possible effects on other code, and learns from senior developers’ past comments and team feedback. The workflow can auto-approve low-risk pull requests, assign a merge confidence score from 1 to 5, and let coding agents fix findings. Cubic supports GitHub, including GitHub Enterprise Cloud; GitHub Enterprise Server, GitLab and Bitbucket are not supported yet. It describes itself as language-agnostic and lists JavaScript, TypeScript, Python, Go, Ruby, Java and C# among supported languages. Starter Free allows 20 reviews a month for public repositories. Team costs $30 a month billed yearly per developer; Pro is 79.00 USD and Max is $160 a month, also billed yearly per developer. For pull requests with more than 200 eligible files, Cubic selects up to 200 for review. Reviews pause after a team exceeds its line allowance unless an admin enables flex capacity at $20 per 10,000 extra lines.
Octopus
Octopus indexes a codebase and uses that context to review pull requests automatically. When a pull request opens, it retrieves related indexed code through vector search and sends the changes and context to a configured language model. Findings receive severity ratings and appear as inline comments. The GitHub integration also reviews updates, posts check runs, and can create issues from findings. Octopus supports GitHub, GitLab, Bitbucket, and Forgejo, and includes source-cited codebase chat plus a CLI for reviews, context queries, and repository checks. Teams can use knowledge-base documents to guide reviews, with rules, repositories, and reviewer settings shared across an organization. AI options include providers such as Anthropic Claude, OpenAI, Google, xAI Grok, Alibaba Qwen, Cohere, and OpenRouter. It can be self-hosted with Docker Compose, PostgreSQL, and Qdrant, with optional local models and embeddings through Ollama. The cloud service stores review and indexing data; findings persist through the PR lifetime and 90 days after closure, while indexed embeddings remain as long as a repository is connected. Free self-hosted and cloud tiers are listed. Live team telemetry requires a paid organization.