Qodo sells an agentic AI code review platform that runs across PR review, the IDE and background remediation. Its stack is multi-cloud (AWS, GCP, Azure on Kubernetes with Terraform and ArgoCD) and multi-model (OpenAI, Anthropic, Llama, DeepSeek via LiteLLM and LangGraph). MCP adoption plus projects around MCP servers and integrations with AI coding assistants point to a push to plug directly into tools like Cursor. Hiring is senior, engineering-led and currently slowing.
Qodo is a privately held, New York-based company with 51–200 employees that builds an AI platform for automated code review. Its agents analyze codebases, enforce coding rules, review pull requests, give feedback inside the IDE and propose validated fixes across the software development lifecycle. The product targets enterprise engineering teams, with dedicated work on enterprise deployments, customer-specific extensions and cloud marketplace distribution. The company hires in the United States and Israel.
Qodo runs Python and FastAPI on Kubernetes across AWS, GCP and Azure, with PostgreSQL, Redis, Terraform, ArgoCD and Datadog, plus LLMs from OpenAI, Anthropic, Llama and DeepSeek orchestrated via LiteLLM, LangChain and LangGraph.
Qodo is adopting MCP, and its job posts describe building and deploying new MCP servers alongside developer-first integrations with AI coding assistants.
Qodo is headquartered in New York, NY and hires in the United States and Israel, mostly senior engineering roles, with smaller openings in data, product, ops and HR.
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Qodo'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.