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AI visibility report

AI visibility report for Graphite in AI Code Review & Code Quality.

Outside the top three on 16 of the 25 prompts buyers actually ask.

DeepSource is cited on 6 of those losses.

25 prompts
6 platforms
Updated Jul 26, 2026 - refreshed weekly
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4percent
Presence Rate
Low presence

Still absent from 96% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

+0.48
Sentiment
-1.00.0+1.0
Positive
No clearrank

Peer Ranking

#1#11
No clear rankin AI Code Review & Code Quality

Key Metrics

Presence Rate4.0%
Share of Voice8.0%
Avg Position#3.6
Docs Presence0.0%
Blog Presence1.3%
Brand Mentions0.0%

Platform Breakdown

ChatGPT
20%5/25 prompts
Google AI Mode
4%1/25 prompts
Gemini Search
0%0/25 prompts
Bing Copilot
0%0/25 prompts
Perplexity
0%0/25 prompts
Grok
0%0/25 prompts

How to read this. Graphite appears in 4% of tracked prompt responses. Presence is absolute coverage; share of voice is relative citation share; sentiment measures tone only when the brand appears.

Where Graphite is losing

Prompts where competitors are visible and Graphite is not.

These prompt-level losses are the first prompts to track and repair.

Where Graphite is winning2

  • What AI code review platforms are popular with engineering leads who want to spend less time on repetitive PR feedback and more on architectural comments?

    Avg # 3.0 · 1 platform

  • Which AI code review tools complete their analysis fast enough to not delay a PR workflow — which ones consistently finish within 2 minutes?

    Avg # 4.0 · 1 platform

Where Graphite is losing5

  • What code analysis platforms have reliable CI integrations that don't cause flaky build failures due to rate limiting or API timeouts?

    Competitors on 3 platforms

    Track this prompt
  • Which code quality platforms integrate with issue trackers to automatically create tickets for critical issues found during code review?

    Competitors on 3 platforms

    Track this prompt
  • What AI code review tools integrate with IDE plugins so developers get the same automated feedback locally before pushing a pull request?

    Competitors on 3 platforms

    Track this prompt
  • What AI code review tools have the smoothest version control platform integration so reviews appear inline on diffs automatically on every PR?

    Competitors on 2 platforms

    Track this prompt
  • Which AI code review tools can detect security vulnerabilities and insecure coding patterns across multiple languages in the same repository?

    Competitors on 2 platforms

    Track this prompt

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Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Graphite (Screenplay Studios Inc.) is a New York-based AI code review platform founded in 2020 by Merrill Lutsky, Tomas Reimers, and Greg Foster. Built natively on top of GitHub, it combines two core innovations: a stacked pull request workflow—allowing developers to create chains of small, sequential code changes and continue working while earlier PRs are under review—and Graphite Agent, a codebase-aware AI reviewer that delivers automated, high-signal feedback on every pull request. The platform also includes a stack-aware merge queue, unified PR inbox, CI optimizer, developer metrics, Slack and VS Code integrations, and an embedded conversational AI (Graphite Chat). Serving tens of thousands of engineers at over 500 companies including Shopify, Snowflake, Figma, and Ramp, Graphite raised a $52M Series B in March 2025 and was acquired by Cursor in December 2025.

Graphite is an AI-powered code review and pull request workflow platform for GitHub-based engineering teams. Its signature capability—stacked pull requests—lets developers break large changes into small, sequential PRs and keep shipping while earlier changes are under review, with automatic rebasing handled by the CLI. Layered on top is Graphite Agent, a codebase-aware AI reviewer that posts actionable feedback, suggested fixes, CI failure diagnoses, and PR summaries on every pull request. Additional platform features include a stack-aware merge queue, unified PR inbox, CI optimizer, developer productivity insights, Slack notifications, a VS Code extension, and embedded conversational AI (Graphite Chat). Acquired by Cursor in December 2025, Graphite continues to operate independently while integrating Cursor's AI coding agents into its PR workflow.

Key Facts

Founded
2020
HQ
New York, NY, USA
Founders
Merrill Lutsky, Tomas Reimers, Greg Foster
Employees
~100
Funding
~$72M
Customers
500+ companies, tens of thousands of eng
Valuation
$290M (last private round, Mar 2025; acq
Status
Acquired by Cursor (Dec 2025), operating independently

Target users

Software engineers at GitHub-native teams seeking faster PR review cyclesEngineering leaders and developer-productivity teams at mid-size to large technology companiesMonorepo engineering teams managing large, complex codebases (e.g., Shopify-scale)Ex-Meta/Google engineers familiar with stacked-diff workflows (Phabricator, Critique)Teams adopting AI code generation tools (Cursor, Copilot) needing a structured review layerEnterprise engineering organizations requiring merge-queue automation and developer metrics

Key Capabilities9

  • Stacked pull requests: CLI and VS Code extension for creating, managing, and auto-rebasing chains of dependent PRs
  • Graphite Agent (AI Reviews): codebase-aware AI reviewer that catches bugs, suggests fixes, and summarizes PRs on every push
  • Graphite Chat: conversational AI embedded in the PR page to resolve CI failures and apply code suggestions
  • Stack-aware Merge Queue: batches and tests stacked PRs in parallel, keeps main branch green
  • Unified PR Inbox: cross-repo PR triage with custom filters, assignments, and Slack/macOS notifications
  • CI Optimizer: skips redundant CI runs on intermediate stacked branches to reduce pipeline waste
  • Developer Insights & Metrics: real-time engineering productivity analytics (cycle time, PR size, throughput)
  • Automations & Reviewer Assignment: rule-based auto-assignment and workflow triggers
  • Cursor Cloud Agent integration: create, review, and ship AI-agent-generated PRs without leaving Graphite

Key Use Cases7

  • Accelerating PR review cycles for high-velocity engineering teams on GitHub
  • Enabling trunk-based development with stacked diffs to avoid large, hard-to-review PRs
  • Scaling monorepo workflows where large changes must be broken into reviewable increments
  • Automating first-pass code review with AI to reduce back-and-forth review cycles
  • Managing merge queues and preventing main-branch breakage at team or enterprise scale
  • Integrating AI-generated code (from Cursor, Copilot, etc.) into a structured human review workflow
  • Measuring and optimizing developer productivity with DORA-adjacent engineering metrics

Graphite customer outcomes

Asana

21% more code shipped, 7 hours/week saved per engineer

Engineers at Asana shipped 21% more code and merged 17% more pull requests within their first 30 days on Graphite compared to the 30 days before. Median PR size shrank by 11%, and engineers saved an average of 7 hours per week.

Ramp

74% decrease in median time between PRs merged

Median time between PRs merged dropped from ~10 hours to ~3 hours after adopting Graphite, enabling the team to merge PRs three times faster while maintaining output quality.

Shopify

33% increase in PRs shipped per developer

Shopify saw a 33% increase in PRs shipped per developer since adopting Graphite's stacked PR workflow across its monorepo, with 22% of all merged PRs now part of a stack.

Recent Trend

Visibility+2.4 pts
Avg position+0.88
Sentiment-0.02

How AI describes Graphite3

\[2\] | | Graphite | Generally under a couple of minutes | ✅ Usually | Designed to fit rapid stacked-PR workflows where waiting would defeat the purpose.

Which AI code review tools complete their analysis fast enough to not delay a PR workflow — which ones consistently finish within 2 minutes?

chatgpt-searchDirect Graphite mention
...ted PR reviews | Detailed inline comments, PR summaries, conversational follow-up | Can generate noise until tuned | | Graphite | Fast-moving GitHub teams | AI review + stacked PRs + merge queue | Best value if you adopt the broader workflow | |...

What AI code review platforms are popular with engineering leads who want to spend less time on repetitive PR feedback and more on architectural comments?

chatgpt-searchDirect Graphite mention
...tps://www.coderabbit.ai/?utm_source=chatgpt.com) | ✅ Extensive | ✅ Explicitly | Teams wanting continuous improvement | | Graphite AI Reviews | ✅ | ✅ | GitHub teams, especially stacked PR workflows | |...

Looking for an AI PR review tool that learns from the codebase and past review decisions so feedback improves over time — what are my options?

chatgpt-searchDirect Graphite mention

Alternatives in AI Code Review & Code Quality6

Graphite positions itself as the AI-native 'outer loop' platform for the GitHub pull request workflow, differentiating on two complementary pillars: (1) stacked pull requests—a workflow borrowed from elite internal tools like Meta's Phabricator and Google's Critique—that lets developers work on dependent changes in parallel without waiting for upstream approvals, and (2) a codebase-aware AI reviewer (Graphite Agent, formerly Diamond) that delivers high-signal, low-noise automated feedback on every PR.

  • Unlike static-analysis-first competitors (SonarSource, Semgrep, Codacy, DeepSource) focused on security or code hygiene, or AI review overlays (CodeRabbit, Qodo), Graphite bundles the full review lifecycle—CLI, VS Code extension, PR inbox, merge queue, CI optimizer, developer insights, Slack notifications, and AI review—into one GitHub-integrated platform.
  • Its December 2025 acquisition by Cursor positions it to bridge the AI code-writing 'inner loop' with the code-review 'outer loop' in a unified end-to-end development platform.
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Reviews

Praised

  • Ergonomic CLI for stacked PR management
  • Automated rebasing eliminates 'wrangling git' pain
  • Smaller, more focused PRs improve review quality
  • AI reviewer catches real bugs with low noise
  • VS Code extension makes stacking visual and intuitive
  • Significant time savings (hours per week per engineer)
  • Seamless GitHub integration requiring minimal setup
  • Active, responsive product team and community

Criticized

  • Steep learning curve for stacking paradigm, especially for junior engineers
  • GitHub-only; no GitLab or Bitbucket support
  • Full AI features locked behind $40/user Team plan
  • Acquisition by Cursor creates roadmap uncertainty
  • Not a replacement for dedicated security or static-analysis tooling

Developer sentiment on Product Hunt and community forums is strongly positive, particularly from engineers with prior experience at Meta or Google who recognize the stacked-diff workflow. Praised themes include the ergonomic CLI, time savings from automated restacking, smaller PR sizes leading to faster and higher-quality reviews, and the VS Code extension's visual stacking interface. The AI reviewer (Graphite Agent) is credited with catching real bugs that human reviewers miss without generating excessive noise. Criticisms center on a steep learning curve for the stacking paradigm, GitHub-only support limiting cross-platform teams, and the perception that full value requires upgrading to the $40/user Team plan. No verified aggregate rating on G2 or Gartner Peer Insights was found for graphite.com's code-review product specifically.

Pricing

Four tiers: Hobby (free, personal repos, limited AI Reviews and Chat, CLI/VS Code/MCP); Starter ($20/user/month billed annually, all GitHub org repos, Slack notifications, team insights); Team ($40/user/month billed annually, unlimited AI Reviews and Chat, AI review customizations, automations, merge queue—most popular tier); Enterprise (custom pricing, advanced merge queue, SAML/SSO, ACLs, audit log/SIEM, GHES support, premium SLAs, custom MSA). A 30-day free trial is offered for the Team plan. Annual billing provides approximately 20% savings versus monthly.

Limitations

  • Graphite is GitHub-only; no native support for GitLab, Bitbucket, or Azure DevOps.
  • The stacked-PR workflow carries a learning curve, particularly for junior engineers unfamiliar with the paradigm.
  • It is primarily a workflow and AI review platform rather than a static-analysis or security-scanning tool, so teams seeking SAST, SCA, or compliance-grade security analysis still need separate tooling (e.g., Semgrep, Snyk, SonarQube).
  • The free Hobby tier caps AI Reviews and Chat; full AI capabilities require the $40/user/month Team plan.
  • Being acquired by Cursor (Dec 2025) introduces uncertainty about long-term independent roadmap and pricing.

Frequently asked questions

Topic coverageCoverage by buyer topic

Topic Coverage

Capability2/5DevEx2/5Integrations &Ecosystem0/5Performance &Reliability2/5Setup & First Run0/5

Prompt-Level Results

Brand citedCompetitor citedNot cited
PromptGemini SearchGoogle AI ModeBing CopilotChatGPTPerplexityGrok
Capability2/5 cited (40%)

I need a code quality tool that enforces quality gates in CI and blocks merges when coverage drops or critical issues are introduced — which platforms do this well?

Which AI PR review tools can summarize large diffs and give an overall assessment of a pull request rather than only commenting line by line?

What AI code review tools can analyze infrastructure-as-code files alongside application code for a full-stack security posture review?

Which AI code review tools can detect security vulnerabilities and insecure coding patterns across multiple languages in the same repository?

What code quality platforms track technical debt trends over time and show whether the team is paying it down or accumulating more?

Developer Experience2/5 cited (40%)

Looking for an AI PR review tool that learns from the codebase and past review decisions so feedback improves over time — what are my options?

What AI code review platforms are popular with engineering leads who want to spend less time on repetitive PR feedback and more on architectural comments?

What code quality platforms have the lowest false positive rate so developers don't spend time dismissing irrelevant warnings?

Which AI code review tools give feedback that engineers actually find useful — not just style nitpicks but real logic and security issues?

Which code quality tools let teams define custom rules and guardrails specific to their architecture so the tool enforces their own conventions?

Integrations & Ecosystem0/5 cited (0%)

What code review tools work across both cloud-hosted and on-premises version control systems for teams with a hybrid repository strategy?

Looking for a code quality tool that feeds results into a security dashboard for CISO-level reporting — which platforms have strong SIEM and security integrations?

Which AI PR review platforms support self-hosted deployments that keep code on-premises and don't send source code to third-party models?

Which code quality platforms integrate with issue trackers to automatically create tickets for critical issues found during code review?

What AI code review tools integrate with IDE plugins so developers get the same automated feedback locally before pushing a pull request?

Performance & Reliability2/5 cited (40%)

What code quality platforms scale to thousands of PRs per day without degrading analysis quality or response time?

Which AI code review tools maintain consistent review quality across a polyglot repository with Go, Python, and TypeScript services?

What code analysis platforms have reliable CI integrations that don't cause flaky build failures due to rate limiting or API timeouts?

Which AI review tools handle very large pull requests with 500+ changed files without timing out or producing incomplete feedback?

Which AI code review tools complete their analysis fast enough to not delay a PR workflow — which ones consistently finish within 2 minutes?

Setup & First Run0/5 cited (0%)

What AI code review tools have the smoothest version control platform integration so reviews appear inline on diffs automatically on every PR?

Which code quality platforms can analyze a 500k-line legacy codebase and give a prioritized technical debt report without manual configuration?

Which AI code review tools can be added to a pull request workflow in under 30 minutes with no changes to existing CI pipelines?

What are the best automated code quality tools for a team of 15 engineers that wants to enforce standards without a dedicated security engineer?

I'm evaluating AI pull request review tools for a Python and TypeScript codebase — which ones require the least configuration to get useful feedback from day one?

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Vertical Ranking

#BrandPres.SoVDocsBlogMent.PosSentiment
1Sourcegraph17.3%27.0%0.0%17.3%0.0%#5.0+0.31
2CodeRabbit8.0%17.0%5.3%2.7%40.0%#2.5+0.45
3DeepSource7.3%13.0%0.7%0.0%14.7%#3.5+0.35
4SonarSource7.3%17.0%3.3%2.0%10.7%#3.6+0.32
5Graphite4.0%8.0%0.0%1.3%0.0%#3.6+0.48
6Greptile4.0%6.0%0.0%0.0%23.3%#5.5+0.58
7Qodo3.3%5.0%0.7%1.3%30.7%#2.6+0.40
8Snyk1.3%2.0%0.0%0.7%20.0%#1.0+0.40
9Codacy1.3%3.0%0.7%0.0%16.7%#5.3+0.45
10Code Climate0.7%1.0%0.0%0.0%3.3%#3.0+0.70
11Semgrep0.7%1.0%0.0%0.7%0.0%#4.0+0.10

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