Cubic vs gitStream
Cubic
cubic.dev
gitStream
linearb.ioSide by side
| Figure | Cubic | gitStream |
|---|---|---|
| Price from | $30/mo | $2.42/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 13 | 3 |
| Spec score · Code review software | 9.3 (#2) | 8.3 (#19) |
| Code handling | cubic says reviews run in isolated containers and that AI processes the PR diff and only the context needed for the review. | LinearB says it uses Git metadata, immediately deletes shallow-cloned data after processing, and does not scan, analyze, or save code. |
| Integrations | Official integration documentation covers Linear, Jira, Asana and GitHub Issues, while the product also documents Notion, Confluence and Slack workflows. | The maker says gitStream connects with tools across version control, CI/CD, DevSecOps, and documentation workflows. |
| Review context | cubic checks pull requests against the full codebase and team rules, including changes that may break code elsewhere. | Contextual labels can show estimated review time and flag Jira information, missing tests, or deleted files. |
| 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. | LinearB says it is independently audited against SOC 1 Type II, SOC 2 Type II, GDPR, and ISO 27001 standards. |
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
gitStream
- gitStream free accountFree
- LinearB Essentials (includes programmable workflows)$29 a year
- LinearB Enterprise (includes Essentials features)$59 a year
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.
gitStream
gitStream uses YAML configuration files to automate pull request workflows and shape code review. It can add context to pull requests, route work to code experts or reviewers, and merge changes designated as safe, small fixes, or work from trusted teams. Contextual labels can estimate review time and flag Jira information, missing tests, or deleted files. LinearB's AI services can generate pull request descriptions and review code changes. Automations can also notify security teams about sensitive changes. Setup guides cover GitHub, GitHub Server, GitLab, and Bitbucket Cloud; the listed code hosts are GitHub, GitLab, and Bitbucket. gitStream is available on the web or self-hosted. The free account has a monthly cap on pull requests that can trigger automations; once reached, new pull requests do not run them and the check is marked Skipped. Paid pricing starts at $29 per user per month, billed annually. A 45-day Essentials trial requires no credit card but is currently limited to GitHub Cloud users. LinearB says the product uses Git metadata and immediately deletes shallow-cloned data after processing, without scanning, analyzing, or saving code.