Qodo Tech Stack

Enterprise AI-driven code review platform with multi-agent architecture

Software Development New York, NY 51–200 employees Privately Held

Qodo builds a multi-agent code review platform powered by OpenAI, Anthropic, and open models (Llama, DeepSeek, Gemini), deployed on Kubernetes across GCP and AWS. The tech stack—Python + FastAPI + PostgreSQL—reflects a focused backend-first approach to handling real-time PR analysis and IDE integrations. Hiring is heavily weighted toward senior engineers (9 of 16 roles), signaling a push to scale the core platform and integrate deeper into developer workflows while sales faces conversion headwinds (MQL-to-deal and funnel performance are listed pain points).

Tech Stack 62 technologies

Core StackHubSpot Python FastAPI PostgreSQL Redis OpenAI AWS Node.js Kubernetes Docker NetSuite Cursor Figma React Helm ArgoCD Terraform Prometheus GCP Llama DeepSeek Gemini HiBob Notion Linear Azure MCP AWS EKS Azure Kubernetes Service Terragrunt+31 more

AdoptingOpenAI Anthropic Cursor

What Qodo Is Building

◆Challenges

Go-to-market engine scaling
Mql-to-deal conversion improvement
Security governance bottleneck
Technical concerns and objections
Integrating code review into developer workflows
Building high-performance backend systems
Attracting exceptional talent
Scaling hiring pipeline
Improving funnel performance
Scaling rapidly while maintaining quality

▲Active Projects

Deploying mcp server
Clay enrichment frameworks
Build customer-specific extensions
Hubspot lifecycle strategy
Ai-driven enrichment initiatives
Fp&a function maturity
Llm prompt pipeline backend
Genai product development
Developer-first integrations with ai coding assistants
Architecting code review tooling

Hiring Activity

Accelerating15 roles · 10 in 30d

Department

Engineering

Marketing

Product

Finance

Seniority

Senior

Mid

Lead

Principal

Notable leadership hires: Tech Lead

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About Qodo

Qodo is an enterprise platform for AI-driven code review that operates across the full software development lifecycle—PR review, in-IDE feedback, and background remediation. The product uses multi-agent architecture to enforce coding standards and catch quality issues early, integrating with developer tools and CI/CD pipelines. The company is based in New York with 51–200 employees and is actively hiring across engineering, product, and go-to-market functions. Current focus areas include developer-first integrations with AI coding assistants, LLM prompt optimization, and scaling the sales pipeline.

HeadquartersNew York, NY

Company Size51–200 employees

Hiring MarketsUnited States, Israel

Frequently Asked Questions

What AI models does Qodo use for code review?

Qodo uses OpenAI (actively adopting), Anthropic (actively adopting), Llama, DeepSeek, and Gemini. The platform also integrates with Cursor for IDE-native feedback.

What tech stack does Qodo use?

Core stack: Python, FastAPI, PostgreSQL, Redis, Node.js. Infrastructure: Kubernetes, Docker, Helm, ArgoCD, Terraform. Cloud: GCP, AWS (EKS), Azure. Monitoring: Prometheus.

How this profile is built

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.