AI
- News
- Last Updated: October 14, 2025
- Betty Junod
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:
- Expanding the capabilities of every Salesforce org with the flexibility of more pro-code and elastic compute with enterprise performance, scale and security enhancements.
- Enhancing and expanding the data foundation to empower our customers’ modern and AI app strategies.
- Delivering new vibes using AI to make the process of building new applications as accessible as sending a text message.
- News
- Last Updated: September 17, 2025
- Anush DSouza
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.
- 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.
- News
- Last Updated: June 26, 2025
- Betty Junod
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…
- News
- Last Updated: June 24, 2025
- Anush DSouza, Gautam Rangarajan
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…
- News
- Last Updated: May 29, 2025
- Anush DSouza
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,…
- News
- Last Updated: May 15, 2025
- Anush DSouza, Rand Arete
Many of the most exciting experiences we’re beginning to rely on every day are powered by AI; whether it’s conversational assistants, personalized recommendations or code generation, these experiences are powered by inference systems and intelligent agents. Behind the scenes, developers offload complex decisions, automate tasks, and compose intelligent applications using large language models and tool execution flows. Together, these AI-powered primitives are becoming a key complement to traditional application development, enabling a new wave of developer capabilities.
At Salesforce, we are helping our customers bring their agentic strategy to life with Heroku, Agentforce , and Data Cloud . These powerful products…
- News
- Last Updated: May 15, 2025
- Gautam Rangarajan, Anush DSouza
Agents hold immense power, but their true potential shines when they connect to the real world, fetching data, triggering actions, or leveraging external tools. The Model Context Protocol (MCP) offers a standardized way for AI agents to do this.
MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.
- Engineering
- Last Updated: May 05, 2025
- Julián Duque
Generative AI has been one incredible tool to improve my productivity not only for work but for personal projects too. I use it every day, from generating stories and images for my online role playing games to solving code and engineering problems and building awesome demos. Lately I’ve leaned into Cursor as my go‑to AI coding companion. Its inline suggestions and quick edits keep me moving without context‑switching. Connecting Cursor to my apps through the Heroku MCP Server lets me perform actions like deploying or scaling, without leaving my code editor, making AI a first class citizen in the Heroku…
Subscribe to the full-text RSS feed for Betty Junod.