---
title: "Beyond the Spinner: Building Responsive AI Apps with Genkit Streaming"
url: https://daily.dev/posts/beyond-the-spinner-building-responsive-ai-apps-with-genkit-streaming-cg1ie9ot0
source_url: https://medium.com/firebase-developers/streaming-made-easy-with-genkit-a6f9da52a76a
type: article
source: "Firebase Developers"
published: 2025-10-28T11:18:45.281Z
updated: 2025-10-28T11:19:08.619Z
tags: ["llm", "ux", "firebase"]
reading_time: 8
upvotes: 1
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Beyond the Spinner: Building Responsive AI Apps with Genkit Streaming

**[Firebase Developers](https://daily.dev/sources/firebase-developers)** · 8 min read · 1 upvotes · 0 comments

## Summary

Learn how to implement streaming in AI applications using Firebase Genkit to reduce perceived latency. The guide covers streaming LLM responses with generateStream, handling partial JSON parsing, creating custom streaming flows with sendChunk, and building hybrid schemas that combine status updates with model responses. Includes practical examples of recipe generators and multi-step workflows that provide real-time progress feedback instead of loading spinners.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/firebase-developers/streaming-made-easy-with-genkit-a6f9da52a76a>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#ux](https://daily.dev/tags/ux), [#firebase](https://daily.dev/tags/firebase)

[View this post on daily.dev](https://daily.dev/posts/beyond-the-spinner-building-responsive-ai-apps-with-genkit-streaming-cg1ie9ot0)