Cubic vs Sourcery
Cubic
cubic.devSourcery
sourcery.aiSide by side
| Figure | Cubic | Sourcery |
|---|---|---|
| Price from | $30/mo | $12/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 13 | 4 |
| Spec score · Code review software | 9.3 (#2) | 8.7 (#10) |
| Spec score · AI Code Review Tools | 9.3 (#2) | 8.7 (#9) |
| Spec score · Pull Request Automation Tools | 9.2 (#2) | 8.7 (#8) |
| Integrations | Official integration documentation covers Linear, Jira, Asana and GitHub Issues, while the product also documents Notion, Confluence and Slack workflows. | GitHub, GitLab, GitHub Enterprise Server, self-hosted GitLab, VS Code, Cursor, Windsurf, JetBrains, Jira |
| Language coverage | Cubic describes itself as language-agnostic and names JavaScript, TypeScript, Python, Go, Ruby, Java and C# among supported languages. | Sourcery says it reviews any programming or markup language recognized by GitHub, while skipping lockfiles and generated files. |
| Support | The Pro and Max plans include premium support and a shared Slack channel with cubic engineers, while Enterprise offers dedicated support. | Support is offered through in-app chat and email, with documentation covering setup, reviews, scanning, IDEs, administration, API, and compliance. |
| What it does | Cubic reviews GitHub pull requests with repository-wide context and scans complete codebases for bugs, vulnerabilities and regressions. | Sourcery automatically reviews pull requests and posts summaries, review comments, and suggested fixes. |
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
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.
Sourcery
Sourcery reviews pull requests with AI, returning a summary, review comments and suggested fixes within minutes. Users can apply a suggestion as a change and commit it to the pull request. Security checks cover committed secrets, static-analysis vulnerabilities, infrastructure-as-code misconfigurations, dependencies and licenses. The extension works in VS Code, Cursor, Windsurf and JetBrains editors, and Sourcery supports GitHub, GitLab, GitHub Enterprise Server and self-hosted GitLab. Open Source checks security on every pull request; Open Source and Pro also scan twice a week, while Team includes nightly scans. The public REST API, for listing, reading, counting and bulk-updating security findings and groups, is a Team feature. Open Source is free; Pro is $12 a month billed annually, or $15 per developer per month billed monthly. Team is $24 a month billed annually, or $30 per developer per month billed monthly. A 14-day Team-feature trial is available organization-wide after installation, without a credit card. Sourcery says it does not retain customer code after reviews or use it to train models.