Add Reflex x Databricks partnership blog post (#1458)

Author: devin-ai-integration[bot]

assets/blog/databricks-partnership.jpeg

@@ -0,0 +1,74 @@
+---
+author: Reflex Team
+date: 2025-06-30
+title: "Reflex x Databricks: Python-Powered Vibe Coding for Enterprises"
+description: "We're excited to announce our official partnership with Databricks and the launch of our Reflex AI Builder integration with Databricks Apps."
+image: /blog/databricks-partnership.jpeg
+meta: [
+  {"name": "keywords", "content": "Reflex Databricks, Python apps, enterprise development, AI Builder, Unity Catalog, data apps, Python framework, Databricks Apps"}
+]
+---
+
+```python exec
+import reflex as rx
+```
+
+We're excited to announce our official **partnership with Databricks**—and the launch of our **Reflex AI Builder integration with Databricks Apps**.
+
+Reflex is built specifically for **Python teams and data professionals**. You can now generate and deploy full internal apps directly on top of your Databricks data—using just Python and a few prompts.
+
+No JavaScript. No frontend boilerplate. No DevOps headaches.
+
+### Bridging the Prototype-to-Production Divide
+
+Enterprise teams today are stuck between two extremes:
+
+1. **Low-code tools** like Streamlit, Plotly Dash, Gradio, or Power BI — great for fast prototyping, but limited in customization, scalability, and governance.
+2. **Full-stack frameworks** like React + FastAPI — powerful and production-ready, but require front-end teams, infra setup, and weeks of coordination.
+
+Reflex bridges this gap - we're building a framework that scales from **prototype to production**.
+
+We let Python teams start fast *and* scale—without switching platforms. You can build something scrappy to test an idea, then grow it into a robust production app with authentication, state management, and secure deployment—all from the same codebase.
+
+<div class="p-1 my-4 rounded-lg bg-slate-5">
+  <iframe
+    width="100%"
+    height="400"
+    src="https://www.youtube.com/embed/i4YCRxGiROU"
+    title="Reflex x Databricks Demo"
+    frameborder="0"
+    allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
+    allowfullscreen>
+  </iframe>
+</div>
+
+### From Prompt to Production, Without Leaving Python
+
+If you've ever built a notebook or script that someone asked to "turn into an app," you know the pain: hand it off to frontend, wrangle deployment, or worse—abandon it entirely.
+
+Reflex fixes that by letting Python teams go from data to full production apps in minutes—without switching stacks.
+
+With our AI Builder, you can:
+
+- Connect to your **Databricks catalog** (Unity Catalog support included)
+- Prompt Reflex to generate app logic, UI, and interactions
+- Deploy instantly to **Databricks Apps** inside your secure environment
+
+Every app includes:
+
+- **Python-native business logic** and state management
+- **Secure data access** governed by Unity Catalog
+- **AI-generated UIs** that you can extend with code—or leave as-is
+- **Role-based access controls** and enterprise-grade deployment
+
+Whether it's a dashboard, workflow tool, or LLM-powered interface—if you can describe it in Python or plain English, you can ship it with Reflex.
+
+And because Reflex apps run directly inside **Databricks Apps**, your data never leaves your stack. No vendor lock-in. No platform rewrites. Just Python, from prototype to production.
+
+### Get Started
+
+If you're using Databricks and your team writes Python, Reflex lets you build apps as fast as you write scripts—without waiting on frontend or DevOps help.
+
+We're already helping teams migrate legacy tools and build new ones faster using AI + Python + Databricks.
+
+**[Send us a message](mailto:[email protected])** to see it in action or [book a call](https://www.notion.so/Reflex-Databricks-Integration-222024b7336e805cbd88de6390894ad2?pvs=21) to explore what you can build.

blog/2025-06-30-reflex-databricks-partnership.md

@@ -154,7 +154,7 @@ def blogs():
 blog_routes = [blogs]
 for path, document in blog_data.items():
     # Get the docpage component.
-    route = f"/{path}"
+    route = f"/blog/{path}"
     title = rx.utils.format.to_snake_case(path.rsplit("/", 1)[1].replace(".md", ""))
     comp = webpage(
         path=route,

pcweb/pages/blog/blog.py

@@ -9,7 +9,7 @@ def get_blog_data(paths):
     blogs = {}
     for path in reversed(sorted(paths)):
         document = Document.from_file(path)
-        path_str = str(path).replace(".md", "/")
+        path_str = str(path).replace(PAGES_PATH, "").replace(".md", "/")
         blogs[path_str] = document
     return blogs