Heroku Blog
- News
- Last Updated: September 04, 2025
- Lauren Groccia
The AI revolution presents a critical challenge: moving from experimentation to production. This year, Heroku has evolved beyond a traditional PaaS to become an AI PaaS, a fully managed platform designed to solve this problem and accelerate the delivery of AI-powered apps. With new capabilities like AppLink, Managed Inference and Agents, and MCP on Heroku, Heroku now provides a fully managed platform designed for the AI era.
This evolution accelerates the delivery of AI-powered apps and intelligent agents, bringing a new level of speed and simplicity to your development process. Dreamforce 2025 is your chance to see firsthand how the Heroku AI PaaS is delivering business value faster and with less complexity.
- Engineering
- Last Updated: August 26, 2025
- Anush DSouza
Building intelligent applications requires powerful, cost-effective AI. Today, we’re simplifying that process by making Amazon’s cutting-edge Nova models directly available via Heroku Managed Inference and Agents. Provisioning these models is as simple as attaching the add-on to your Heroku application, providing a direct, managed path for developers and businesses to leverage a new class of powerful and cost-effective AI models with unparalleled simplicity.
- Engineering
- Last Updated: August 20, 2025
- Anush DSouza
Start building with OpenAI’s new open-weight model, gpt-oss-120b, now available on Heroku Managed Inference and Agents. This gives developers a powerful, transparent, and flexible way to build and deploy AI applications on the platform they already trust. Access gpt-oss-120b with our OpenAI-compatible chat completions API, which you can drop into any OpenAI-compatible SDK or framework.
- Engineering
- Last Updated: August 19, 2025
- Anush DSouza
Building AI applications that can interact with private data is a common goal for many organizations. The challenge often lies in connecting large language models (LLMs) with proprietary datasets. A combination of Heroku Managed Inference and Agents and LlamaIndex provides an elegant stack for this purpose.
This post explores how to use these tools to build retrieval-augmented generation (RAG) applications. We’ll cover the technical components, Use Cases and the development process, and how to get started.
- News
- Last Updated: August 08, 2025
- Anush DSouza
Building production-grade AI applications can be complex, but with Heroku and Pydantic AI, developers gain a powerful and reliable solution for integrating advanced AI capabilities. Heroku makes it easy to integrate AI into your applications with Heroku Managed Inference and Agents. With a single click, you can attach powerful Large Language Models like Anthropic’s Claude 4 Sonnet to your apps. Heroku AI also provides built-in tools like secure code execution and an OpenAI-compatible API that you can drop directly into popular frameworks and SDKs.
- Engineering
- Last Updated: July 31, 2025
- Ken W. Alger
This blog series has taken you on a journey through the world of AppLink, from its foundational concepts and core components in Heroku AppLink: Extend Salesforce with Any Programming Language, to a deep dive into its key integration patterns in AppLink Fundamentals I: AppLink Integration Patterns – Connecting Salesforce to Heroku Applications, and then we explored advanced integrations with Data Cloud, automation, and AI in AppLink Fundamentals II: Advanced AppLink Integrations – Automation & AI. Now, in this final installment, we turn our attention to the practical aspects of building with AppLink, focusing on the development workflow, …
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