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cubic

AI code review platform that finds bugs in pull requests and entire codebases. Reviews code in GitHub and IDE with AI summaries, one-click fixes, custom rules, and codebase scans.

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Where cubic ranks

Current edition · updated Oct 20, 2026

About cubic

Code review is a major bottleneck for software teams, and the rise of AI-generated code is making the problem worse. Reviewing large volumes of code slows devs down, and increases the chances of bugs slipping through.

That's why we're building cubic: an intelligent code review platform that helps devs merge PRs 28% faster.

How? - When you open a PR, cubic automatically reviews it. It learns from your codebase's patterns, points out bugs, suggesting fixes, and frees you from low-level review tasks. - You then jump into the cubic platform, which is designed to optimize how humans review code. For example, file changes are organized in a logical order instead of alphabetical, and cubic generates diagrams of architecture changes.

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What customers say

“MomentWhile addressing a security bug, Marc fixed the line of code he knew about. As soon as he pushed, cubic highlighted a completely different file—an area of the codebase he had never touched—that contained the same vulnerability.He opened a second pull request, patched both endpoints in the same sprint and accepted cubic’s suggested regression tests so the issue can’t recur.”
Customercubic customer
“cubic is the first port of call for my team. Every engineer clears its comments before a teammate even opens the review.”
Customercubic customer

  • Browser Use uses cubic to review PRs before maintainers begin human review. The vendor reports an 85% reduction in PR merge time, with average merges taking about three hours.

    Case study

  • Firecrawl uses cubic for AI code review across its complex codebase. The vendor reports 70% less manual review time and a reduction from 10 to 3 PRs requiring CTO review.

    Case study

  • Legora uses cubic to catch bugs and enforce coding and testing conventions. The vendor reports 1,001 issues fixed, 31% faster PR merges and a 10-hour average merge time.

    Case study

Security and compliance

As reported by cubic. Ask for audit reports before you buy.

  • SOC 2 Type ICompliant
  • TX-RAMPCompliant
  • ISO 22301Compliant
  • Least-privilege GitHub App access
  • Isolated sandbox with no network egress for AI code review
  • AI subprocessors contractually prohibited from training on customer code
  • Only minimal code snippets transmitted to AI models
  • All requests sent over encrypted channels
  • Background Agents never push directly to main or protected branches
  • Code never stored or used for AI training

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