This week, the technology world focused on agentic AI, which means AI systems that can work on their own and make decisions without someone telling them every single step. Think of it like hiring a worker who understands what you want and does the job without needing constant instructions.

The biggest news this week was the creation of the Agentic AI Foundation by major tech companies including Anthropic, OpenAI, and Block. This foundation is like a club where different companies agree to work together on AI agent technology. They all decided to share their tools and ideas instead of keeping them secret. This is good for developers because it means AI agents will work better together no matter which company makes them.

One important tool they created is called the Model Context Protocol, or MCP. Think of MCP as a translator that helps different AI systems understand each other and work together. It's like how people from different countries can use translation to communicate. Companies like Claude, Microsoft Copilot, and Google Gemini all use MCP now. This week, there were more than 10,000 MCP servers available, which are like special connection points that help AI agents do their jobs.

Google released something called Workspace Studio this week, which is very exciting for developers. Instead of writing complicated code, people can now tell Workspace Studio what they want using normal English words. The AI agent then builds the automation for Gmail, Drive, and Chat. This is like telling someone "sort my emails automatically" and they do it without you having to write instructions.

Microsoft shared big announcements at their Microsoft Ignite event about agentic AI development. They said developers can now use both Claude and GPT models together when building AI apps. This is important because different models are better at different jobs, so developers can pick the right tool for each task. Microsoft also introduced something called IQ technology that helps AI agents understand business information better. Imagine an AI agent that understands your company's data so well it can answer complicated questions and make smart suggestions.

Construction companies are already using AI agents in real work. These agents can plan projects, check on progress, and update schedules all by themselves. Workers say these agents understand complex instructions and make decisions much faster than people can. Tools like Gemini Agent Studio and Zapier let construction workers build their own AI agents without being expert programmers.

However, not every AI agent project is working perfectly. Some companies are having problems because they let AI agents make too many decisions without checking their work. Smart companies are learning that they need "agent supervisors" - people whose job is to make sure AI agents are doing the right thing. It's like having a manager check in when important decisions are being made.

The most important change happening in coding is this: developers are shifting from writing every line of code to teaching AI agents what jobs need to be done. Instead of spending days writing code, developers now spend their time giving AI agents instructions and checking their work. This makes software development much faster and lets more people create programs even if they are not expert coders.

Experts predict that in the next few years, AI agents will handle more and more of our daily work decisions. By 2028, about one-third of all business software programs will have AI agents built into them. This week's announcements show that big companies are preparing for this future by building the tools and standards that AI agents need to work together smoothly.