Trusted by 50,000+ teams worldwide
The challenge
Complex systems demand deep context
Writing infrastructure code, managing distributed services, and debugging production issues requires deep domain knowledge. Generic AI tools don't understand your architecture, your data flows, or your operational constraints.
The solution
AI that understands your architecture
Queue's AI agents are built for engineers working on complex backend systems. They understand your service topology, infrastructure patterns, and operational requirements. Whether you're writing Terraform modules, Kubernetes manifests, database migrations, or service mesh configurations, Queue generates code that respects your architecture decisions and follows your team's infrastructure conventions.
From boilerplate to production-ready
Queue doesn't just autocomplete — it generates complete, production-ready implementations. Need a new microservice? Queue scaffolds it with your standard patterns: health checks, graceful shutdown, observability hooks, retry logic, and circuit breakers. It writes the Dockerfile, the Helm chart, and the CI pipeline too. You review and refine instead of writing everything from scratch.
The Workflow
How engineers use Queue
Multi-repo context
Use Queue from your terminal for scripting, debugging, and code generation without leaving your workflow.
Terminal integration
Use Queue from your terminal for scripting, debugging, and code generation without leaving your workflow.
Private model deployment
Run Queue's AI on your own infrastructure for air-gapped environments and strict data residency requirements.
Custom model tuning
Fine-tune Queue's AI on your codebase for even more accurate suggestions tailored to your stack.
CI/CD generation
Generate and maintain pipeline configs for GitHub Actions, GitLab CI, Jenkins, and more.
Security scanning
Queue flags security vulnerabilities, dependency risks, and misconfigurations as you write code.
