Anush is a Senior Product Manager at Heroku with a Focus on Front End and Developer tools.
- News
- Last Updated: October 08, 2025
- Anush DSouza, Rand Arete
Introducing the pilot of Heroku Vibes , your collaborative agent for turning ideas into running apps. For those who have been with us on this journey for a while, the name “Heroku Garden” might stir up a bit of nostalgia. It was the web experience that enabled developers to become immediately productive in creating and deploying Rails applications with a turnkey, opinionated environment, with the goal of making software easier and more accessible. That seed of an idea that would grow into the platform powering millions of mission-critical apps. We’re thrilled to announce the pilot of Heroku Vibes, a…
- 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 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.
- 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.
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