AI platform for engineering leaders managing code review, testing, and release workflows
LinearB builds visibility and automation into the code-to-release pipeline, targeting engineering and DevEx leaders navigating the wave of AI-assisted code creation. The tech stack is modern but traditional—React, TypeScript, Node.js on the frontend; Python/FastAPI, AWS Lambda, and Kubernetes on the backend—suggesting a stable, scalable SaaS infrastructure rather than a cutting-edge R&D play. Hiring is accelerating across sales (3 open roles) and engineering (2), but the org is still small (51–200), indicating LinearB is in the land-grab phase for DevEx tooling.
LinearB provides real-time visibility and developer-first automation for engineering teams, helping leaders manage the operational side effects of AI-generated code—particularly code review, testing, and release processes. The platform integrates with CI/CD systems (GitHub, GitLab, Bitbucket, Azure DevOps, Jira) to surface workflow bottlenecks and automate handoffs. The company was founded in 2018 and is based in Los Angeles. Current priorities include scaling the sales organization, expanding AI ecosystem capabilities, and optimizing CI/CD integration across customer deployments. Engineering and product teams are actively building platform features, conducting customer POCs, and improving onboarding workflows.
Frontend: React, TypeScript, Node.js, Redux, MobX. Backend: Python, FastAPI, AWS (Lambda, SNS, DynamoDB, RDS). DevOps: Docker, Kubernetes, Terraform, ArgoCD, Helm. Integrations: GitHub, GitLab, Bitbucket, Azure DevOps, Jira. Monitoring: Datadog.
CI/CD pipeline integrations, design system and frontend architecture, AI ecosystem scaling, customer onboarding optimization, and automating the platform's core functionality for code review, testing, and release workflows.
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