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How cubic’s scores are calculated

The full audit trail, recomputed from the verdict data at build time through the same code that produced the leaderboard: verdict × quality × story weight per cell, cells sum to dimension scores, dimensions blend into the PA Score. Every number on the product page is reproducible from this page alone; for why the formula looks like this, see the methodology.

verdict factors: full ×1.0 · partial ×0.6 · disputed ×0.3 · none ×0.0 · n/a excluded from both sides · cell points = weight × quality × factor · cell max = weight × 10

PA Score28/100

Agent-ready 36.2 × 0.30 = 10.86

API quality 0.0 × 0.20 = 0.00

Openness 6.0 × 0.20 = 1.20

Built-in AI 76.7 × 0.15 = 11.51

Automation 28.0 × 0.15 = 4.20

(10.86 + 0.00 + 1.20 + 11.51 + 4.20) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 27.77 ÷ 1.00 = 27.8

Scores are stored to 1 decimal; the product page’s pills round to whole numbers for display. Each dimension below shows the stories, verdicts, and cited evidence behind its number.

Agent-ready36.2/100×0.30 of the PA blend

Outside-in: can YOUR agent reach and drive this product — API, MCP, CLI, headless runs, agent docs.

Point an agent at llms.txt or agent-oriented docsweight 2

2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

  • [probe] https://docs.cubic.dev/llms.txtPROBE llms.txt: HTTP 200 at https://docs.cubic.dev/llms.txt # cubic documentation > cubic reviews code on GitHub and in local coding workflows. These docs cover review setup, codi
  • [probe] https://docs.cubic.dev/ai-review/introduction.mdPROBE docs-md: HTTP 200 at https://docs.cubic.dev/ai-review/introduction.md > ## Documentation Index > Fetch the complete documentation index at: https://docs.cubic.dev/llms.txt > Use this file to

Run the product headlessly / in CI for automationweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://docs.cubic.dev/ai-review/introductionOnce installed, cubic automatically reviews new pull requests.
  • [claimed-docs] https://docs.cubic.dev/ide/cli-reviewThe **cubic CLI** reviews local changes before you push. It finds bugs and generates a prompt that your coding agent can use to fix them.
  • [probe] https://docs.cubic.dev/ide/cli-reviewofficial CLI documented at https://docs.cubic.dev/ide/cli-review
  • [claimed-docs] https://docs.cubic.dev/ai-review/key-features.mdThe AI automatically scans every pull request for a wide range of issues, including logic errors, style inconsistencies, and potential security vulnerabilities.
  • [claimed-docs] https://docs.cubic.dev/codebase-scan/codebase-scansCodebase scans deploy thousands of AI agents to find bugs and vulnerabilities across your repository.

Plug MCP servers into this product so it can use their toolsweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

  • [claimed-docs] https://docs.cubic.dev/ide/agent-setupConnect cubic's MCP server to your coding agent to read review findings and codebase context, request PR reviews, and triage PR or codebase scan issues.
  • [probe] https://docs.cubic.dev/ide/mcp-serverofficial MCP server documented at https://docs.cubic.dev/ide/mcp-server
  • [claimed-docs] https://www.cubic.dev/pricing-plansConnect to Jira, Linear, Asana, and Notion
  • [claimed-docs] https://docs.cubic.dev/integrations/notion-integration.mdAdd page context from Notion to make AI reviews understand your requirements and generate accurate PR descriptions.

Connect an agent via an official MCP serverweight 3

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

  • [claimed-docs] https://docs.cubic.dev/ide/agent-setupConnect cubic's MCP server to your coding agent to read review findings and codebase context, request PR reviews, and triage PR or codebase scan issues.
  • [claimed-docs] https://docs.cubic.dev/changelog/changelogYou can now ask your coding agent to check your cubic subscription, manage team seats and roles, and purchase more seats without leaving your MCP client.
  • [claimed-docs] https://docs.cubic.dev/ide/agent-setup.mdInstall and connect cubic in Cursor, Claude Code, VS Code, Codex, Gemini CLI, or another coding tool.
  • [probe] https://docs.cubic.dev/ide/mcp-serverofficial MCP server documented at https://docs.cubic.dev/ide/mcp-server

Use an official CLIweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://docs.cubic.dev/ide/cli-reviewThe **cubic CLI** reviews local changes before you push. It finds bugs and generates a prompt that your coding agent can use to fix them.
  • [probe] https://docs.cubic.dev/ide/cli-reviewofficial CLI documented at https://docs.cubic.dev/ide/cli-review

Drive the product through a documented public APIweight 3

3 (weight) × 6 (quality) × 0.6 (partial) = 10.8 of 30 max

  • [claimed-docs] https://docs.cubic.dev/analytics/apiThe Analytics API gives you PR-level data on how many issues were flagged, how many were fixed, how much AI code was authored, etc.
  • [claimed-docs] https://docs.cubic.dev/ide/agent-setupConnect cubic's MCP server to your coding agent to read review findings and codebase context, request PR reviews, and triage PR or codebase scan issues.
  • [probe] https://docs.cubic.dev/ide/mcp-serverofficial MCP server documented at https://docs.cubic.dev/ide/mcp-server
  • [probe] https://docs.cubic.dev/ide/cli-reviewofficial CLI documented at https://docs.cubic.dev/ide/cli-review
  • [probe] https://docs.cubic.dev/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.cubic.dev/openapi.json, https://docs.cubic.dev/swagger.json, https://docs.cubic.dev/api/openapi.json, https://docs.cubic.dev/.well-known/openapi.json)

Issue scoped/least-privilege API credentials for an agentweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [claimed-docs] https://docs.cubic.dev/account/roles-and-permissions.mdcubic uses a role-based access control system to manage who can make changes to your team's subscription and settings. Every team member has one of three roles
  • [claimed-docs] https://docs.cubic.dev/ide/agent-setupConnect cubic's MCP server to your coding agent to read review findings and codebase context, request PR reviews, and triage PR or codebase scan issues.
  • [claimed-docs] https://docs.cubic.dev/analytics/apiThe Analytics API gives you PR-level data on how many issues were flagged, how many were fixed, how much AI code was authored, etc.

Build against official SDKsweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://docs.cubic.dev/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.cubic.dev/openapi.json, https://docs.cubic.dev/swagger.json, https://docs.cubic.dev/api/openapi.json, https://docs.cubic.dev/.well-known/openapi.json)
  • [claimed-docs] https://docs.cubic.dev/analytics/apiThe Analytics API gives you PR-level data on how many issues were flagged, how many were fixed, how much AI code was authored, etc.
  • [probe] https://docs.cubic.dev/ide/mcp-serverofficial MCP server documented at https://docs.cubic.dev/ide/mcp-server
  • [probe] https://docs.cubic.dev/ide/cli-reviewofficial CLI documented at https://docs.cubic.dev/ide/cli-review

Subscribe to events via webhooksweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://docs.cubic.dev/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.cubic.dev/openapi.json, https://docs.cubic.dev/swagger.json, https://docs.cubic.dev/api/openapi.json, https://docs.cubic.dev/.well-known/openapi.json)
  • [claimed-docs] https://docs.cubic.dev/analytics/apiThe Analytics API gives you PR-level data on how many issues were flagged, how many were fixed, how much AI code was authored, etc.

Agent-ready = 76.0 ÷ 210 × 100 = 36.2

API quality0.0/100×0.20 of the PA blend

The programmable surface once an agent is there — machine-readable spec, interactive docs, sandbox, versioning discipline.

Explore an interactive API reference with runnable examplesweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://docs.cubic.dev/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.cubic.dev/openapi.json, https://docs.cubic.dev/swagger.json, https://docs.cubic.dev/api/openapi.json, https://docs.cubic.dev/.well-known/openapi.json)
  • [claimed-docs] https://docs.cubic.dev/analytics/apiThe Analytics API gives you PR-level data on how many issues were flagged, how many were fixed, how much AI code was authored, etc.

Download a machine-readable API spec (OpenAPI or equivalent)weight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://docs.cubic.dev/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.cubic.dev/openapi.json, https://docs.cubic.dev/swagger.json, https://docs.cubic.dev/api/openapi.json, https://docs.cubic.dev/.well-known/openapi.json)
  • [claimed-docs] https://docs.cubic.dev/analytics/apiThe Analytics API gives you PR-level data on how many issues were flagged, how many were fixed, how much AI code was authored, etc.

Test against a sandbox environment without touching production dataweight 1

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Rely on versioned APIs with a documented deprecation policyweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [claimed-docs] https://docs.cubic.dev/analytics/apiThe Analytics API gives you PR-level data on how many issues were flagged, how many were fixed, how much AI code was authored, etc.
  • [probe] https://docs.cubic.dev/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.cubic.dev/openapi.json, https://docs.cubic.dev/swagger.json, https://docs.cubic.dev/api/openapi.json, https://docs.cubic.dev/.well-known/openapi.json)

API quality = 0.0 ÷ 60 × 100 = 0.0

Openness6.0/100×0.20 of the PA blend

Can you leave, inspect, or self-host — data export, open source, portability.

Do everything through the API that I can do in the UIweight 2

2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max

  • [claimed-docs] https://docs.cubic.dev/analytics/apiThe Analytics API gives you PR-level data on how many issues were flagged, how many were fixed, how much AI code was authored, etc.
  • [claimed-docs] https://docs.cubic.dev/ide/agent-setupConnect cubic's MCP server to your coding agent to read review findings and codebase context, request PR reviews, and triage PR or codebase scan issues.
  • [claimed-docs] https://docs.cubic.dev/changelog/changelogYou can now ask your coding agent to check your cubic subscription, manage team seats and roles, and purchase more seats without leaving your MCP client.
  • [claimed-docs] https://docs.cubic.dev/ide/cli-reviewThe **cubic CLI** reviews local changes before you push. It finds bugs and generates a prompt that your coding agent can use to fix them.
  • [probe] https://docs.cubic.dev/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.cubic.dev/openapi.json, https://docs.cubic.dev/swagger.json, https://docs.cubic.dev/api/openapi.json, https://docs.cubic.dev/.well-known/openapi.json)
  • [probe] https://docs.cubic.dev/ide/mcp-serverofficial MCP server documented at https://docs.cubic.dev/ide/mcp-server
  • [probe] https://docs.cubic.dev/ide/cli-reviewofficial CLI documented at https://docs.cubic.dev/ide/cli-review

Export all of my data in open formats and leaveweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

  • [claimed-docs] https://docs.cubic.dev/analytics/apiThe Analytics API gives you PR-level data on how many issues were flagged, how many were fixed, how much AI code was authored, etc.
  • [claimed-docs] https://docs.cubic.dev/wiki/ai-wikicubic's AI wiki automatically indexes your codebase and produces searchable wikis, complete with links to source code, architecture diagrams, and more.

Read the product's source under an open licenseweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Self-host the core productweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Openness = 6.0 ÷ 100 × 100 = 6.0

Built-in AI76.7/100×0.15 of the PA blend

Inside-out: how agentic the product itself is for its users — built-in assistants, autonomous features.

Get AI-generated insights and suggestions from my data inside the productweight 2

2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

  • [claimed-docs] https://docs.cubic.dev/ai-review/introductionSpots bugs and improvements: Comments on bugs and improvements in pull requests
  • [claimed-docs] https://docs.cubic.dev/ai-review/introductionPR summaries: Generates PR descriptions based on code changes
  • [claimed-docs] https://docs.cubic.dev/wiki/ai-wikicubic's AI wiki automatically indexes your codebase and produces searchable wikis, complete with links to source code, architecture diagrams, and more.
  • [claimed-docs] https://docs.cubic.dev/analytics/apiThe Analytics API gives you PR-level data on how many issues were flagged, how many were fixed, how much AI code was authored, etc.
  • [claimed-docs] https://docs.cubic.dev/ai-review/issue-analysis.mdcubic can automatically analyze your pull requests to see if they meet the requirements from your linked Linear or Jira issues.
  • [claimed-docs] https://docs.cubic.dev/analytics/overview.mdThe analytics dashboard shows how your team ships code across three lenses: AI coding usage, AI review impact, and delivery speed.
  • [community] https://hn.algolia.com/api/v1/items/46605224I really liked it - it hit the mark. The current balance works very well, and it genuinely surprised me. It provides more technical explanations than just basic checks; for example, compared to using a regular GPT or Claude. I may not be an experienced developer, but I can confidently say that your Cubic.dev is really powerful.

Set up automations that run autonomously in the backgroundweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://docs.cubic.dev/ai-review/introductionOnce installed, cubic automatically reviews new pull requests.
  • [claimed-docs] https://docs.cubic.dev/ai-review/quickstartcubic generates the fix and pushes it to your PR branch.
  • [claimed-docs] https://docs.cubic.dev/ai-review/quickstartEnable [auto-approval](/ai-review/auto-approval) to let cubic approve PRs that meet your review policy.
  • [claimed-docs] https://docs.cubic.dev/codebase-scan/codebase-scansCodebase scans deploy thousands of AI agents to find bugs and vulnerabilities across your repository.
  • [claimed-docs] https://docs.cubic.dev/ai-review/quickstart.mdEnable auto-approval to let cubic approve PRs that meet your review policy.
  • [claimed-docs] https://docs.cubic.dev/ai-review/key-features.mdcubic can automatically fix issues in the background. When the AI spots a problem, you can click the **Fix with cubic** button
  • [claimed-docs] https://docs.cubic.dev/ai-review/auto-approval.mdAuto-approval lets you skip human review for pull requests that cubic determines are low risk and issue-free.
  • [claimed-docs] https://docs.cubic.dev/ai-review/memory-and-learningcubic automatically learns when you: Reply to its comments... React to suggestions: Thumbs up/down help cubic calibrate what's useful vs noise

Delegate tasks to a built-in AI assistant inside the productweight 3

3 (weight) × 7 (quality) × 1.0 (full) = 21.0 of 30 max

  • [claimed-docs] https://docs.cubic.dev/ai-review/introductionTo review a PR that was opened _before_ you installed the app, comment: `@cubic-dev-ai review this PR`.
  • [claimed-docs] https://docs.cubic.dev/ai-review/key-featuresUltrareview runs a longer review using cubic's most capable review models, which is useful for risky migrations, security-sensitive changes, or complex refactors.
  • [claimed-docs] https://docs.cubic.dev/ai-review/quickstartcubic generates the fix and pushes it to your PR branch.
  • [claimed-docs] https://docs.cubic.dev/ai-review/quickstartReply to a review comment to ask for clarification:
  • [claimed-docs] https://docs.cubic.dev/ai-review/quickstartEnable [auto-approval](/ai-review/auto-approval) to let cubic approve PRs that meet your review policy.
  • [claimed-docs] https://docs.cubic.dev/codebase-scan/codebase-scansCodebase scans deploy thousands of AI agents to find bugs and vulnerabilities across your repository.
  • [community] https://hn.algolia.com/api/v1/items/46605224I really liked it - it hit the mark. The current balance works very well, and it genuinely surprised me. It provides more technical explanations than just basic checks; for example, compared to using a regular GPT or Claude. I may not be an experienced developer, but I can confidently say that your Cubic.dev is really powerful.

Operate the product with natural-language commandsweight 2

2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max

  • [claimed-docs] https://docs.cubic.dev/ai-review/introductionTo review a PR that was opened _before_ you installed the app, comment: `@cubic-dev-ai review this PR`.
  • [claimed-docs] https://docs.cubic.dev/ai-review/quickstartReply to a review comment to ask for clarification:
  • [claimed-docs] https://docs.cubic.dev/ai-review/quickstart@cubic-dev-ai review this PR
  • [claimed-docs] https://docs.cubic.dev/ai-review/interactive-comments.mdInteract with cubic in PR comments to ask questions, trigger reviews, and fix issues. You can tag `@cubic-dev-ai` directly, or reply to cubic's existing comments to continue the conversation.
  • [claimed-docs] https://docs.cubic.dev/ide/agent-setupConnect cubic's MCP server to your coding agent to read review findings and codebase context, request PR reviews, and triage PR or codebase scan issues.
  • [claimed-docs] https://docs.cubic.dev/changelog/changelogYou can now ask your coding agent to check your cubic subscription, manage team seats and roles, and purchase more seats without leaving your MCP client.
  • [claimed-docs] https://docs.cubic.dev/ai-review/key-featuresWhen a pull request needs extra scrutiny, you can ask cubic for an Ultrareview.

Built-in AI = 69.0 ÷ 90 × 100 = 76.7

Automation28.0/100×0.15 of the PA blend

Depth of automation primitives — rules, scheduling, bulk operations, webhooks.

Perform bulk operations across many items at onceweight 2

2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max

  • [claimed-docs] https://docs.cubic.dev/codebase-scan/codebase-scansCodebase scans deploy thousands of AI agents to find bugs and vulnerabilities across your repository.
  • [claimed-docs] https://docs.cubic.dev/analytics/apiThe Analytics API gives you PR-level data on how many issues were flagged, how many were fixed, how much AI code was authored, etc.
  • [claimed-docs] https://docs.cubic.dev/analytics/overview.mdThe analytics dashboard shows how your team ships code across three lenses: AI coding usage, AI review impact, and delivery speed.
  • [claimed-docs] https://docs.cubic.dev/ai-review/cross-repo-reviews.mdCross-repo reviews help cubic catch changes that need a matching update in another repository. Link related repositories so reviews can check shared APIs, schemas, docs, or release work.
  • [claimed-docs] https://docs.cubic.dev/ai-review/quickstartEnable [auto-approval](/ai-review/auto-approval) to let cubic approve PRs that meet your review policy.

Define rules that trigger actions automatically on eventsweight 3

3 (weight) × 5 (quality) × 0.6 (partial) = 9.0 of 30 max

  • [claimed-docs] https://docs.cubic.dev/ai-review/introductionOnce installed, cubic automatically reviews new pull requests.
  • [claimed-docs] https://docs.cubic.dev/ai-review/custom-agentsCustom agents are review rules that enforce your organization's specific best practices across pull requests.
  • [claimed-docs] https://docs.cubic.dev/ai-review/quickstartEnable [auto-approval](/ai-review/auto-approval) to let cubic approve PRs that meet your review policy.
  • [claimed-docs] https://docs.cubic.dev/ai-review/quickstart.mdEnable auto-approval to let cubic approve PRs that meet your review policy.
  • [claimed-docs] https://docs.cubic.dev/ai-review/key-features.mdcubic can automatically fix issues in the background. When the AI spots a problem, you can click the **Fix with cubic** button
  • [claimed-docs] https://docs.cubic.dev/configure/cubic-yamlcubic.yaml lives in the root of your repository and becomes the source of truth for AI review behavior, ignore patterns, PR descriptions, and custom agents.
  • [claimed-docs] https://docs.cubic.dev/ai-review/auto-approval.mdAuto-approval lets you skip human review for pull requests that cubic determines are low risk and issue-free.
  • [community] https://hn.algolia.com/api/v1/items/45901525The 'in-codebase' approach is the right one, but a YAML file with plain text is a half-measure. The most reliable rule that 'lives next to the code' is an architectural test... a more robust engineering solution, unlike semantic text interpretation, which can fail.

Schedule recurring jobs or workflowsweight 2

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Version, review, and roll back my automationsweight 1

1 (weight) × 3 (quality) × 0.6 (partial) = 1.8 of 10 max

  • [claimed-docs] https://docs.cubic.dev/configure/cubic-yaml`cubic.yaml` lives in the root of your repository and becomes the source of truth for AI review behavior, ignore patterns, PR descriptions, and custom agents.
  • [claimed-docs] https://docs.cubic.dev/configure/cubic-yamlcubic.yaml lives in the root of your repository and becomes the source of truth for AI review behavior, ignore patterns, PR descriptions, and custom agents.
  • [claimed-docs] https://docs.cubic.dev/ai-review/custom-agentsCustom agents are review rules that enforce your organization's specific best practices across pull requests.
  • [claimed-docs] https://docs.cubic.dev/ai-review/introduction.mdCustom agents: Enforce your team's coding standards

Automation = 16.8 ÷ 60 × 100 = 28.0