CodeRabbit is an AI code review service for engineering teams that plugs into pull requests to catch bugs, security issues, and architectural drift before code gets merged. Beyond line-level suggestions, the platform builds codebase-aware context across pull requests, repositories, and developer workflows to detect defects, security risks, and architectural regressions, then generates actionable fixes before merge . It has become the most installed AI app on GitHub and GitLab , which gives it a wide install base to draw signal from as AI-generated code floods more repos.
This launch marks a $143 million Series C at a $1.5 billion valuation, co-led by Atomico and Smash Capital, with new investors including BMW i Ventures, Datadog, Hirtle Callaghan and SineWave Ventures , on top of existing backers like CRV, Scale Venture Partners, and Nvidia's NVentures. Alongside the round, CodeRabbit is introducing Agentic Change Management, a control layer that provides governance and understanding of the software being shipped , aimed at teams whose review queues are now filled with output from Copilot, Cursor, Claude Code, Codex, and other coding agents rather than only humans.
The company was founded by Harjot Gill (CEO), Guritfaq Singh (COO), and Vishu Kaur , and is based in San Francisco. For founders and operators, the pitch behind this raise is straightforward. If merges are becoming the real bottleneck as agents write more code, whoever owns the review and change-management layer sits at a useful choke point in the CI/CD stack.
Comments (14)
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Priya NalgondaAug 12, 2026
"Supercharge your dev team with AI code reviews" is doing a lot of heavy lifting. Try: "The second pair of eyes that never asks for coffee."
T
Tomasz K.Aug 12, 2026
Curious what the first investor's "totally different reason" actually was. Happy to hop on a quick call if you're sharing.
L
Leila BoutrosAug 12, 2026
Would love the full story behind that first investor angle for a piece I'm working on. DMs open whenever.
B
Brenda OkaforAug 12, 2026
$1.5B on a per-seat AI reviewer means the unit economics need to survive Anthropic price hikes. Are margins holding as PR volume scales per customer?
A
Anya VolkovaAug 12, 2026
The real question is how this gets into a Fortune 500 GitHub org without a 9 month security review. Bottoms-up dev love is great until procurement wakes up.
H
Hiroki TanabeAug 12, 2026
The teaser cut with the investor reveal at the end was actually paced well. Most Series C announcement videos feel like a LinkedIn slideshow with music.
K
Kwame A.Aug 12, 2026
3 weeks out from launching something similar for infra PRs specifically. Rooting for the category, dreading the comparison threads.
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Wendy AguirreAug 12, 2026
What's the rate limit on the review API and can I trigger custom checks via webhook without hitting your UI? Docs page is a little coy about this.
D
Dimitri PapasakisAug 12, 2026
If the CLI has a self-host mode and readable audit logs I'll champion it internally tomorrow. Otherwise we're back to Danger scripts and vibes.
F
Farah ZeidanAug 12, 2026
Where does the code actually get processed during review, and can EU customers pin residency? "Control layer for software change" is a fun phrase to defend in a DPA.
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gregorybyteAug 12, 2026
So it's like Codacy but with a chatbot. Groundbreaking.
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Vitalyk R.Aug 12, 2026
Control layer for software change sounds like it wants to be onchain. Imagine a governance token where reviewers stake to approve merges, I'm just saying.
M
Makoto L.Aug 12, 2026
Quick question, if the AI approves a PR and it breaks prod, who does the postmortem blame? Asking because my manager already tried this once.
S
sagebitsAug 12, 2026
Every code review tool eventually becomes a compliance tool. Congrats on speedrunning it.
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CodeRabbit is an AI code review service for engineering teams that plugs into pull requests to catch bugs, security issues, and architectural drift before code gets merged. Beyond line-level suggestions, the platform builds codebase-aware context across pull requests, repositories, and developer workflows to detect defects, security risks, and architectural regressions, then generates actionable fixes before merge . It has become the most installed AI app on GitHub and GitLab , which gives it a wide install base to draw signal from as AI-generated code floods more repos. This launch marks a $143 million Series C at a $1.5 billion valuation, co-led by Atomico and Smash Capital, with new investors including BMW i Ventures, Datadog, Hirtle Callaghan and SineWave Ventures , on top of existing backers like CRV, Scale Venture Partners, and Nvidia's NVentures. Alongside the round, CodeRabbit is introducing Agentic Change Management, a control layer that provides governance and understanding of the software being shipped , aimed at teams whose review queues are now filled with output from Copilot, Cursor, Claude Code, Codex, and other coding agents rather than only humans. The company was founded by Harjot Gill (CEO), Guritfaq Singh (COO), and Vishu Kaur , and is based in San Francisco. For founders and operators, the pitch behind this raise is straightforward. If merges are becoming the real bottleneck as agents write more code, whoever owns the review and change-management layer sits at a useful choke point in the CI/CD stack.
Comments (14)
"Supercharge your dev team with AI code reviews" is doing a lot of heavy lifting. Try: "The second pair of eyes that never asks for coffee."
Curious what the first investor's "totally different reason" actually was. Happy to hop on a quick call if you're sharing.
Would love the full story behind that first investor angle for a piece I'm working on. DMs open whenever.
$1.5B on a per-seat AI reviewer means the unit economics need to survive Anthropic price hikes. Are margins holding as PR volume scales per customer?
The real question is how this gets into a Fortune 500 GitHub org without a 9 month security review. Bottoms-up dev love is great until procurement wakes up.
The teaser cut with the investor reveal at the end was actually paced well. Most Series C announcement videos feel like a LinkedIn slideshow with music.
3 weeks out from launching something similar for infra PRs specifically. Rooting for the category, dreading the comparison threads.
What's the rate limit on the review API and can I trigger custom checks via webhook without hitting your UI? Docs page is a little coy about this.
If the CLI has a self-host mode and readable audit logs I'll champion it internally tomorrow. Otherwise we're back to Danger scripts and vibes.
Where does the code actually get processed during review, and can EU customers pin residency? "Control layer for software change" is a fun phrase to defend in a DPA.
So it's like Codacy but with a chatbot. Groundbreaking.
Control layer for software change sounds like it wants to be onchain. Imagine a governance token where reviewers stake to approve merges, I'm just saying.
Quick question, if the AI approves a PR and it breaks prod, who does the postmortem blame? Asking because my manager already tried this once.
Every code review tool eventually becomes a compliance tool. Congrats on speedrunning it.