
Sample: Starter Kit for RAG + Agents with CrewAI
Explore a production-grade starter kit combining CrewAI, Django & Celery for RAG + agents. Run locally, then deploy seamlessly via Defang to AWS or GCP.
Insights on application platforms, developer experience, and building in the cloud.

Explore a production-grade starter kit combining CrewAI, Django & Celery for RAG + agents. Run locally, then deploy seamlessly via Defang to AWS or GCP.

Defang’s May 2025 update brings managed LLMs in the Playground, MongoDB support on AWS, enhancements to the MCP server/CLI, and fresh AI sample deployments.

In April 2025, Defang advanced its Model Context Protocol integrations, launched Vibe Deploying workflows, and added support for managed LLMs on GCP.

Discover how Defang enables “Vibe Deploy”: send a natural-language prompt from your IDE, and Defang deploys your project to the cloud reliably and instantly.

March saw support for managed LLMs, release of Defang Pulumi Provider v1, autoscaling features, smarter CLI, and networking cost improvements.

Deploy a Django app with real-time chat, background workers, Redis & Postgres to the cloud in minutes using Defang.

See how Defang used Defang to deploy their Next.js site—containerized with TLS, DNS, custom domains & full cloud setup.


See how Defang’s own portal is deployed via Defang: compose files, secrets, DNS, CI/CD — no separate infra code required.

Explore Defang’s updated branding: refined messaging, a sleek new logo, and a modern, intuitive website experience.

Learn how Defang lets you build and deploy MCP-based AI apps from Docker to the cloud (AWS, GCP, DigitalOcean) with ease.

This January, Defang added full GCP support, self-deployed its infrastructure with Defang, launched Campus Advocate Program, and published MCP samples.