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Heroku Introduces New Innovations to Expand the Capabilities of Every Salesforce Org

Today’s businesses face a tremendous amount of complexity in tools, data silos, and systems that teams need to navigate to deliver unique and engaging experiences to their customers. Meanwhile developers are only able to spend a fraction of their time coding due to the cognitive load of technology complexity, constant context switching, and figuring out how to adopt AI effectively into their daily work.

The Heroku AI PaaS is the Cloud Native Application Platform from Salesforce to seamlessly build and scale any custom service for greenfield app development, modernizing existing apps, and as part of a Salesforce cloud implementation.

At Dreamforce, we are excited to introduce new innovations to our AI PaaS that expand the capabilities of every Salesforce org and empower new builders. Today’s announcement includes innovations in three key areas:

  1. Expanding the capabilities of every Salesforce org with the flexibility of more pro-code and elastic compute with enterprise performance, scale and security enhancements.
  2. Enhancing and expanding the data foundation to empower our customers’ modern and AI app strategies.
  3. Delivering new vibes using AI to make the process of building new applications as accessible as sending a text message.

Heroku AI Studio is Your Workspace for Smarter, Faster AI Apps

Ever found yourself in the endless loop of tweaking a prompt, running your code, and waiting to see if you finally got the output you wanted? That slow, frustrating feedback cycle is a common headache for AI developers. What if you could speed that up and get back to what you do best? Let’s focus on building amazing applications.

We're excited to introduce Heroku AI Studio, a new set of tools designed to streamline your generative AI development from prompt to production. We've focused on creating a more intuitive and efficient workflow, so you can focus on innovation instead of wrestling with your development environment. When using the Heroku Managed Inference and Agents add-on, this new tool is about to become an essential part of your workflow.

Discover How Heroku’s AI PaaS Delivers Real-World Results at Dreamforce

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.

Heroku AI Expands Model Offering with OpenAI’s gpt-oss-120b

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.

Building Data-Aware AI Applications with Heroku AI and LlamaIndex

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.

Building Agents With Heroku AI and Pydantic AI

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.

AppLink Fundamentals II: Advanced AppLink Integrations – Automation & AI

In our previous posts, we introduced Heroku AppLink and explored its foundational integration patterns for connecting Heroku applications with Salesforce. Now, we’ll delve into how AppLink truly expands Salesforce capabilities, focusing on advanced integrations with Data Cloud, Flow, Apex, and Agentforce. This blog will highlight how AppLink empowers you to infuse your Salesforce orgs with powerful external logic, real-time data processing, and intelligent automation.

Introducing the Heroku AI Platform as a Service (AI PaaS)

Today, we are pleased to announce the evolution of Heroku to an AI Platform as a Service (AI PaaS). GenAI has changed how we build software (vibe coding), the kind of technology we use (Cursor, LLMs), the type of software we make (agents), and redefined what it means to be a developer in this new world.

In a recent Salesforce study , 84% of developers with AI say it helps their teams complete their projects faster. AI-powered, natural language development tools make it possible for anyone to create software by typing instructions in English. This increase in new apps is only…

Heroku AI: Heroku Remote MCP Server

Today, we’re thrilled to announce a new way in which agents can access the Heroku platform using the Heroku Remote MCP Server, now available at https://mcp.heroku.com/mcp.

This new remote server is an expansion of our earlier stdio-based MCP server and comes with secure OAuth authentication. It’s designed to provide a secure, scalable, and incredibly simple way for agents to interact with the Heroku platform and use tools to perform actions such as creating a Heroku app from your favorite agents such as Claude , Agentforce , or Cursor . With Agentforce 3.0 announcing native support for MCP, you can bring Heroku…

Heroku AI: Claude 4 Sonnet is now available

Anthropic’s Claude 4 Sonnet, part of the next generation of Claude models, is now available on Heroku Managed Inference and Agents . This gives developers immediate access to a model designed for coding, advanced reasoning, and the support of capable AI agents. Heroku Managed Inference and Agents expands your AI choices, offering the freedom to build transformative applications with the developer and operational ease Heroku is known for. Claude 4 Sonnet extends what’s possible with AI systems by improving task planning, tool use, and overall agent experience within the Heroku ecosystem. Claude 4 Sonnet offers a significant leap in performance,…

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