Discover what an AI code assistant is, how it works, and why it’s transforming the future of software development. Learn about LLMs, machine learning , code generation, debugging, automation, and real-world use cases for developers in 2025. The Rise of AI Coding Assistants The world of software development has been transformed by AI-powered code assistants . These tools—such as GitHub Copilot , ChatGPT , Codeium, AWS CodeWhisperer , Tabnine, and many others—have become essential helpers for developers, engineers, data scientists, and even beginners who are just learning to code. In 2025, AI code assistants are no longer “optional productivity boosters.” They have evolved into smart collaborators , capable of: Writing code from natural language Suggesting solutions instantly Fixing bugs Generating documentation Reviewing pull requests Recommending best practices based on code context Acting as full-fledged pair programmers To understand the power o...
Introduction Learn how to deploy a FastAPI application using Docker and Google Cloud Run — step-by-step from writing the app, building the container, pushing it, and running it in Cloud Run. Deploying modern Python web APIs has become easier than ever thanks to frameworks like FastAPI and serverless container platforms like Google Cloud Run. In this post we walk through how to build a FastAPI application, wrap it in a Docker container, push it to Google’s container registry, and deploy to Cloud Run. We’ll use a reference article as a base structure. By the end of this tutorial you’ll have a running FastAPI service accessible on the web, and you’ll understand how the pieces fit together. Why use FastAPI and Cloud Run? FastAPI – modern, fast, Python-based FastAPI allows you to build APIs with very good performance, automatic interactive docs (OpenAPI/Swagger) and type hints. It’s increasingly popular for production-quality APIs in Python. For example, you m...