CodeRabbit Tech Stack

AI-powered code review platform reducing review time and defects

Software Development San Francisco, California 51–200 employees Founded 2023 Privately Held

CodeRabbit automates code reviews using LLMs (OpenAI API) paired with RAG, RLHF, and static/dynamic analysis (SAST, DAST). The company is heavily sales-focused — 19 of 41 open roles are in sales, with concurrent efforts to scale enterprise GTM and mid-market motions — while engineering is proportionally lean. Active projects center on enterprise playbook refinement and AI agent workflows, reflecting a shift from product-market fit toward repeatable sales processes.

Tech Stack 101 technologies

Core StackAWS TypeScript Python LangChain Pinecone RAG ArgoCD Docker Kubernetes Terraform Pulumi Grafana Prometheus Elasticsearch Datadog Zoom React Node.js LlamaIndex OpenAI API LanceDB RLHF SAST DAST EDR GCP Vault AWS Systems Manager Azure Terragrunt+68 more

What CodeRabbit Is Building

◆Challenges

Scaling enterprise sales
Low adoption of ai code review platform
Building enterprise sales organization
Maintaining high availability
Improving code quality
Expediting deal size and deal velocity
Reducing code review time
Securing infrastructure
Integrating security into dev workflow
Optimizing performance for millions of analyses

▲Active Projects

Internal tools and documentation improvement
Proof of value demos
Build enterprise sales organization
Ai agent workflows
Context-enriched code reviews
Repo-level planning tools
Infrastructure as code with terraform
Customer onboarding transition
Improve enterprise sales playbook
Improving mid-market sales motion

Hiring Activity

Accelerating40 roles · 30 in 30d

Department

Sales

Engineering

Marketing

Support

Customer-Success

Executive

Finance

Seniority

Senior

Mid

Manager

Director

Junior

Lead

Principal

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About CodeRabbit

CodeRabbit delivers AI-driven code review automation for development teams. The platform uses large language models and retrieval-augmented generation to deliver context-aware reviews that flag defects and reduce manual review time. Founded in 2023, the company serves over a thousand organizations across Fortune 500, scale-up, and mid-market segments. The platform meets SOC 2 Type 2 and GDPR compliance requirements and does not train on proprietary customer code. Engineering is distributed across the United States, India, Japan, South Korea, and France.

HeadquartersSan Francisco, California

Company Size51–200 employees

Founded2023

Hiring MarketsUnited States, India, Japan, South Korea, France

Frequently Asked Questions

What AI and ML technologies does CodeRabbit use?

CodeRabbit builds on OpenAI API, LangChain, LlamaIndex, and Pinecone for retrieval-augmented generation (RAG). The platform also employs RLHF (reinforcement learning from human feedback), static analysis (SAST), and dynamic analysis (DAST) to detect bugs and security issues in code.

What is CodeRabbit's infrastructure stack?

CodeRabbit runs on AWS and GCP with Kubernetes and Docker for orchestration. Infrastructure-as-code relies on Terraform and Terragrunt. Monitoring and observability use Prometheus, Grafana, Datadog, and Elasticsearch. Secrets management is handled via Vault and AWS Systems Manager.

How this profile is built

CodeRabbit's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.