#Deploy Python App On Railway

Pydantic AI was the fastest growing AI engineering framework on downloads of 2025. Great docs, built in type safety, AI development with software development best practices. Anyone can be an AI engineer; because AI is still just engineering. What do you use to write your AI workflows? Let us know in the comments. #pydanticai #pydanticlogfire #aidevelopment #aiframework

🚀 It’s live. After weeks of building, testing, fixing render issues, integrating payments, and refining the experience… PromptUI Lab is officially ready. 🔥 186+ production-ready UI components 🔥 33 categories 🔥 27 animations 🔥 42 SVG icons 🔥 68 AI prompts 🔥 Multi-framework support (React, Next.js, HTML, Flutter) 🔥 Live previews 🔥 Razorpay payments integrated 🔥 Free + Pro + Team plans Built for: • Indie hackers • SaaS founders • AI tool builders • Frontend developers • Vibe coding creators Most AI tools generate messy UI. PromptUI gives you clean, structured, production-ready components you can copy and ship instantly. This is just the beginning. Next: Community uploads + Developer API. Built by Masthan. For developers & AI builders. #reactjs #tailwindcss #webdevelopment #frontend #saas aibuilder razorpay supabase indiehackerdeveloper

A Python decorator is all you need to deploy AI apps 🚀 Beam is an open-source alternative to Modal that lets you deploy any AI workload in a serverless manner with zero infrastructure overhead. Steps: 1️⃣ uv add beam 2️⃣ Build your AI workflow 3️⃣ Wrap the invocation around a method 4️⃣ Decorate with the `endpoint` decorator and specify server config This gives you a serverless endpoint! 100% open-source. GitHub link in the comments! 👉 Over to you: How do you deploy your AI apps? #ai #python #serverless

AI isn’t here to replace skilled CAM programmers. It’s here to remove the friction. From instant Python script generation to fast knowledge retrieval and intelligent data search, hyperMILL’s AI tools help you spend less time hunting for answers and more time programming parts.

You don’t need a complex DevOps stack to ship and scale an inference API. Build and test your API locally, deploy it to get logs, latency, and autoscaling, then containerize it to improve cold starts and redeploy across clouds. Same API. From local test to production-ready in a few steps. Get started and ship your next model faster → https://go.lightning.ai/4tKZ98G

Stop paying for AI APIs. There’s a GitHub repo with 11k+ stars listing free LLM API providers. Comment AI 👇 #aicoding #developers #github #aiapi #programming

Your first AI app is just an API call 🤯 In this reel, I made my first LLM call using 👉 TypeScript 👉 Gemini API 👉 A simple prompt No theory. No hype. Just request → response → output. If you’re a JS / TS dev and want to actually build with AI this series is for you 🚀 Follow for more practical AI engineering. #AIEngineering #LLM #GeminiAPI #TypeScript #JavaScript

🚀 It’s live. After weeks of building, testing, fixing render issues, integrating payments, and refining the experience… PromptUI Lab is officially ready. 🔥 186+ production-ready UI components 🔥 33 categories 🔥 27 animations 🔥 42 SVG icons 🔥 68 AI prompts 🔥 Multi-framework support (React, Next.js, HTML, Flutter) 🔥 Live previews 🔥 Razorpay payments integrated 🔥 Free + Pro + Team plans Built for: • Indie hackers • SaaS founders • AI tool builders • Frontend developers • Vibe coding creators Most AI tools generate messy UI. PromptUI gives you clean, structured, production-ready components you can copy and ship instantly. This is just the beginning. Next: Community uploads + Developer API. Built by Masthan. For developers & AI builders. #reactjs #tailwindcss #webdevelopment #frontend #saas aibuilder razorpay supabase indiehacker developer

🚀 Just built my own AI Chatbot using a modern full-stack architecture! This project is powered by: ⚡ FastAPI – High-performance Python backend 🧠 LangChain – Orchestrating LLM workflows 🤖 Vercel AI SDK for seamless AI integration 🎨 Next.js + React + Tailwind CSS + shadcn/ui for a clean and responsive UI 🔷 TypeScript for type-safe development I’m deeply focused on Python, Artificial Intelligence, and backend engineering — especially building scalable AI applications using FastAPI and LangChain. This chatbot is designed to be fast, modular, and production-ready, combining modern frontend technologies with powerful AI backends. More AI projects coming soon 🔥 #Python #ArtificialIntelligence #FastAPI #LangChain #NextJS #ReactJS #TypeScript #AIProjects #MachineLearning #FullStackDeveloper

FastAPI: Auto-Validate JSON POST Requests #programming #python #coding Let me try a new way of teaching you stuff in Python's Fast API. Here is how to handle JSON data in POST requests with FastAPI – using Pydantic BaseModel for automatic validation. Plus: Why FastAPI is exploding in popularity and overtaking Flask and Django for modern APIs. DB in a separate file included!

Let AI explain your APIs 🤖 #tech #javascript #frontend #ai #trendingreels

Stop ignoring the “Double Asterisk.” 🛑🐍 If you open the source code of PyTorch, FastAPI, or Pandas, you’ll see *args and **kwargs everywhere. They aren’t just “extra” syntax—they are the backbone of professional Python architecture. 📦 What is it? It’s a Packing Mechanism. 🔹 *args packs positional arguments into a Tuple. 🔹 **kwargs packs keyword arguments into a Dictionary. ✅ The Pro Move (Code Example): Python code: # A wrapper that can handle ANY AI model input def ai_logger(model_name, **kwargs): print(f”Executing {model_name}...”) for key, value in kwargs.items(): print(f”Hyperparameter: {key} = {value}”) ai_logger(“Llama-3”, temperature=0.7, top_p=0.9, max_tokens=100) # Function call with ⚙️ Why this matters: This is how you build Decorators and Wrappers. It allows your code to stay flexible, meaning you can update your backend without breaking your frontend. 🚀 Level Up Your AI Game: Tutorials show you how to code. We show you how to engineer. Follow Corpnce for Senior-level Python engineering.