Engineering: AI

In the ever-evolving landscape of artificial intelligence, AI agents have emerged as a groundbreaking approach to building more sophisticated and autonomous systems. These agents represent a significant leap forward in AI development, offering capabilities beyond traditional static models. What makes AI assistants particularly powerful is their ability to orchestrate complex tasks and continuously self-assess their

Python offers various packages and frameworks for building interactive, production-ready AI app interfaces, including chat UIs. This article details the top platforms. AI Chat UIs: Overview AI Chat UIs: Overview Chat UIs for AI applications provide the front-end interface to interact with AI assistants, local, and cloud-based large language models (LLMs), and agentic workflows. Like

We are speedrunning AI development. This week alone, Claude 3.7 and GPT-4.5 were released. Before that, Deepseek R1, Deep Research, and Grok 3 were released. This speed makes it almost impossible for developers to keep up. No sooner have you implemented an OS Deepseek model into your chatbot than the newest OpenAI/Mistral/Llama/Anthropic model comes out,

Almost 30% of internet users watch a livestream each week. If you are ever one of those 30%, you’ll notice the constant stream of video and chat going on from the sometimes thousands of viewers, all wanting to be a part of the experience. And some choose to be a bad part of that experience.

OpenAI just launched GPT-4.5. Here’s a snippet from their release blog post: Early testing shows that interacting with GPT‑4.5 feels more natural. Its broader knowledge base, improved ability to follow user intent, and greater “EQ” make it useful for tasks like improving writing, programming, and solving practical problems. We also expect it to hallucinate less.

Note: This article assumes you have basic Node.js knowledge and are comfortable with environment variables. The code snippets in this article were run on a Windows OS. This GitHub repo contains all the files used in this article. Recently, applications or websites have been built with some form of chat. Whether it is through social

With all this "vibe" coding, many devs think that Cursor and Claude are just for prototypes. While Cursor is great at writing new code, it’s also very effective at structuring code, standardizing, refactoring, and maintaining large projects. It’s super exciting since you can build software 5-30x faster. This guide shares my workflow for Cursor and

Our aim today is straightforward. We learn how to integrate an AI assistant with Stream's Chat APIs and make it blazing fast, like Le Chat by Mistral AI, using the LLM inference platforms. After the February 2025 updates and improvements to Le Chat by Mistral, many developers and power users have compared its response speed