cubic Review (2026): Pricing, Features & Honest Verdict

TLDR

cubic is an AI code review platform that automatically reviews GitHub pull requests, catches bugs, and suggests one-click fixes using full-repo context. It’s genuinely good at surfacing real issues but noisy on large PRs. Best for: fast-moving engineering teams shipping AI-generated code. Price: From $30/dev/mo (free plan: yes). Rating: 8.1/10

What is cubic?

cubic is an AI-native code review platform that plugs into GitHub and automatically reviews every pull request the moment it’s opened. Instead of waiting hours for a human reviewer, you get inline comments flagging bugs, security vulnerabilities, and code-quality problems within a minute or two, plus an AI-generated PR summary that explains what changed and why it matters. For issues it’s confident about, cubic offers one-click fixes so you don’t have to context-switch back into your editor.

The company (cubic) came out of Y Combinator’s X25 batch and is built by London-based founders Paul Sanglé-Ferrière and Allis Yao. It launched publicly on Product Hunt on April 28, 2025, where it hit #1 Product of the Day and of the Week under the pitch “Cursor for code review.” Teams including Cal.com, n8n, Granola, and Better Auth use it, and it’s positioned squarely at the problem of the moment: reviewing the flood of AI-generated code without hiring more senior engineers to babysit every PR.

What Are cubic’s Key Features?

Automatic PR review with full-repo context

The core feature is instant, context-aware review. When a PR opens, cubic reads the diff against the surrounding codebase (not just the changed lines) and leaves inline GitHub comments on real problems: logic bugs, null-safety issues, security holes, and regressions. Because it pulls whole-repo context, it catches cross-file issues that line-by-line linters miss. cubic claims teams merge PRs roughly 28% faster as a result.

One-click fixes and AI PR summaries

For straightforward issues, cubic generates a suggested fix you can apply with a single click straight from the review comment. Every PR also gets an auto-generated summary highlighting the changes and their impact, which is a real time-saver for the reviewer approving the merge and for anyone reading the PR history later.

Custom rules in plain English

You can write custom review rules in plain English (“never log PII”, “all API handlers must validate input”) and cubic enforces them on every PR. It also learns from the comments your senior developers leave, gradually tuning itself to your team’s standards rather than spamming generic advice.

Nightly codebase scans and integrations

Beyond per-PR review, Pro plans run nightly codebase scans that hunt for bugs across your entire repository, not just new code. cubic also integrates with Linear, Jira, Asana, Notion, and Confluence, and includes a CLI plus auto-maintained wikis so the AI’s understanding of your project stays current.

How Much Does cubic Cost?

cubic starts at $30 per developer per month on the Team plan (billed annually; $40 month-to-month), which includes 40,000 lines of code reviewed per developer, the CLI, weekly wiki updates, and analytics. The Pro plan is $79 per developer per month annually (or $99 monthly) and bumps you to 80,000 reviewed lines per developer plus nightly codebase scans, Confluence integration, and priority support. There’s a genuinely usable Free plan with 20 AI reviews per month, and cubic is 100% free for public/open-source repositories with no application needed. Enterprise pricing (SSO/SAML, GitHub Enterprise) is custom.

Compared to CodeRabbit, whose Pro plan runs around $24 per developer per month, cubic’s Team tier is priced a little higher but bundles codebase scanning and wiki maintenance that CodeRabbit charges separately for or doesn’t offer. If your team writes a lot of AI-generated code and reviews are the bottleneck, the per-seat cost is easy to justify against a single senior engineer’s time.

Who Is cubic Best For?

cubic is aimed at engineering teams that ship fast and are drowning in pull requests, especially those leaning heavily on AI coding assistants and needing a second set of (automated) eyes before merge.

Use cubic if you’re a small-to-mid startup engineering team, you maintain a busy GitHub repo, you generate lots of AI-written code that needs sanity-checking, or you run an open-source project (it’s free). Skip cubic if you’re a solo dev on a tiny side project where 20 free reviews a month is plenty and you’d never pay, if your codebase is small enough that a linter and a human reviewer already keep up, or if you’re not on GitHub as your primary platform.

Best cubic Alternatives

cubic isn’t the only AI code reviewer in a crowded 2025-2026 market. Here are three worth comparing.

CodeRabbit

The best-known competitor, CodeRabbit offers line-by-line AI PR reviews with chat and supports GitHub, GitLab, and Azure DevOps. Its Pro plan is around $24/dev/mo, slightly cheaper than cubic’s Team tier, and it has a free tier for open source too. cubic tends to feel more context-aware on complex codebases; CodeRabbit has broader platform coverage.

Greptile

Greptile is another full-codebase-context AI reviewer popular with startups, priced around $30/dev/mo. It’s strong at understanding large repositories and answering questions about them. It’s a close cubic competitor; the choice often comes down to which one’s review tone and fix quality your team prefers.

Graphite

Graphite pairs AI review (Diamond) with a stacked-diff PR workflow, making it appealing for teams that want to restructure how they ship, not just add a reviewer. It has a free tier and paid plans in a similar per-seat range. Pick Graphite if you want the whole PR workflow reimagined; pick cubic if you just want great automated reviews on your existing GitHub flow.

Final Verdict: Is cubic Worth It?

cubic is one of the stronger AI code reviewers we’ve tried, and its full-repo context genuinely catches issues that dumber tools miss. The one-click fixes, plain-English custom rules, and free open-source access are real differentiators, and for a team shipping AI-generated code every day, the $30/dev starting price is trivial against the cost of a bug reaching production or a senior engineer’s review time.

The honest caveats: on very large PRs it can be chatty, surfacing more comments than you’ll act on, and like every AI reviewer it still needs a human to make the final call — treat it as a fast first-pass, not a replacement for review. But if reviews are your bottleneck and you live on GitHub, cubic is well worth a trial. For fast-moving startup engineering teams, it’s an easy recommendation.