10 articles in this category
AI agents are now moving beyond being just simple chatbots. They can now reason through tasks, use tools, collaborate with other agents, and automate complex workflows with little human input.
From folder structure to deployment basics, the reasons why each boundary exists. These choices directly affect scalability, deployment speed, and system reliability. This guide focuses on practical decisions that help your AI services stay reliable as they grow.
FastAPI helps you with the tools you need to build a backend that is fast, predictable, and ready for real traffic. But how then do you structure that backend to prevent your AI chat service from falling apart as the usage grows?
In this guide, we'll have a look at how you use Docker with Python in real projects. You’ll learn what to install, how to write Dockerfiles for Python apps, how to run containers, and how to avoid common mistakes.
If you're just getting started with Python, you're probably wondering which libraries are essential and what problems they solve. I recently began my Python journey and compiled this list of must-know Python packages. Whether you're into web development, data science, automation, or building APIs, these tools will come in handy.
In this article, we’ll explore five powerful backend projects you can build using Python to sharpen your skills, improve your portfolio, and learn core backend concepts like asynchronous programming, API design, and job queues.