Posts tagged "LLMs"

Catch up with Defang’s August 2025 update: new Heroku migration flow, MCP BYOC prompts for AWS/GCP deployment, and refined Railpack support on GCP.

Deploy full-stack agentic AI apps with ease. Defang handles compute, databases, caching, LLMs, security & cloud quirks—no YAML or Terraform needed.

See what’s new in Defang’s July 2025 update: Railpack integration, cost estimation support for GCP, managed MongoDB on GCP, and an Agentic LangGraph sample.

Defang acts as your AI DevOps agent—deploy your app from code to live on AWS, GCP, or DigitalOcean with built-in scaling, security, and multi-cloud support.

The June/July 2025 Defang update: live AWS cost estimation, CrewAI + Defang starter kit, portal deployment info, VS Code extension, cross-cloud playground.

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.