Engineering

Software applications require scalable, real-time communication features, whether for messaging apps, customer support chats, or collaborative workspaces. Implementing chat functionality from scratch is complex, but you can build a robust solution efficiently with Go and Stream. This guide walks you through creating a multi-tenant chat system where each organization (tenant) has its own isolated chat

Imagine a language tutor, a startup coach, or a sales assistant, all available on-demand through a video call.  In this tutorial series from Code with Antonio, we'll guide you through building a video calling application powered entirely by AI agents.  Beyond generating summaries or transcripts after a call, every meeting in this app is a

Agentic AI coding tools vary in how they help you write, debug, and ship code. Some, like Lovable and Bolt, allow developers to build web and mobile apps using prompts quickly. Others, like Cursor and Windsurf, provide developers with a fully AI-featured IDE to solve engineering problems. Generally, AI coding platforms can be categorized into

In today's business environment, virtual meetings consume a significant portion of professionals' workdays. Yet, much of their value evaporates once participants leave the virtual room. Critical insights, decisions, and action items often get lost amid daily tasks, leading to misalignment, missed deadlines, and the dreaded "Wait, what did we decide?" follow-up communications. AI meeting assistants

Wouldn't it be nice to talk to your own AI chatbot all day? With it sitting at the ready to listen to your slightest whim, providing instant answers, suggestions, and companionship whenever you need it. Of course, this already exists as a billion-dollar industry. Companies such as Character.ai provide personalized chat apps that can respond

Two buzzwords circulating in the developer ecosystem today are MCP and A2A. Model Context Protocol (MCP) has been around since November 2024. Google released Agent2Agent (A2A) in April 2025 with an extensive list of technology partners. Developers can use the MCP and A2A open standards to provide context to models for building AI applications. MCP

This article has an accompanying GitHub Repository containing runnable samples: adk-samples In recent years, the development of autonomous agents—software entities capable of reasoning, planning, and taking actions on behalf of users—has moved from research labs into real-world applications. These AI agents are rapidly becoming central to building intelligent systems, whether through task automation, information retrieval,

If you are used to using the ChatGPT or Claude chat interfaces, you might think that these models have incredible memories, able to maintain knowledge of the conversation across multiple interactions. You're being tricked. The reality is that LLMs like Claude's have no inherent memory between calls. Each API request is stateless by design. When