## AI Agents Are Taking Over Coding Jobs

AI tools that code automatically are becoming the normal way developers work. This week showed how fast the coding world is changing. Companies like Cursor and Windsurf released new features where AI agents can actually write code all by themselves. These agents can look at problems, write code in many files, run tests, and even make pull requests without a human typing every single thing. Cursor's new Agent Mode can even process 40 percent more information per request than other tools. This is different from the old way where AI would just suggest code for humans to type. Now AI is actually doing the work.

## Everyone Is Building AI Coding Tools

The race to build the best AI coding tool is getting serious. Google showed up this week with a brand new free tool called Antigravity that runs inside VS Code. This caught everyone's attention because it's free and uses something called parallel agent orchestration to handle multiple tasks at the same time. Meanwhile, Cursor and Windsurf keep fighting for who has the better AI agent. Windsurf dropped its price to just $15 a month while adding support for more AI models. GitHub Copilot is still the most popular with 85 percent of developers using at least one AI coding tool. These companies are trying to win by making their tools faster, smarter, and cheaper.

## AI Is Writing a Lot of Code Now

A big study shows that AI is already writing almost one-third of all new code in the United States. Scientists looked at over 30 million pieces of code on GitHub and found that by the end of 2024, about 29 percent of new code in America was written with AI help. This jumped up really fast from just 5 percent in 2022. The United States leads the world in using AI for coding, followed by Germany and France with 24 and 23 percent. China only has 12 percent because their government blocks some AI tools. The study also found that AI makes experienced programmers about 3.6 percent faster at their jobs. Even though that sounds small, it means billions of dollars of extra value for the economy.

## But There's a Big Problem: Checking If Code Works

Companies are worried that AI-written code might have security problems. Now that AI writes so much code, the biggest challenge is making sure it's safe and works correctly. Eighty-seven percent of companies are already using AI coding helpers, but 82 percent of them worry about security. A person named Jim from a company called Sonar explained that the job of programmers is changing from writing code to checking code. Senior developers now have to become like auditors who look for problems instead of typing code themselves. One study showed that developers are struggling to keep up with how fast code is being created and they don't always understand what the code does because AI wrote it. This is a big change from how software used to be made.

## Strange Thing: A Popular Tool Had Money Problems

A surprising thing happened to Tailwind CSS, one of the most popular web tools with 75 million downloads a month. The problem was that AI agents like Claude can now write Tailwind CSS code directly without people needing to read the instruction books. This hurt the company's money because they made money by teaching people to buy their special packages. When people don't need to visit the website to learn, they won't buy the paid versions. This shows a bigger problem: when AI gets really good at doing something, the business model for teaching that something breaks. Other companies are watching this carefully because they might face the same problem.

## New Standards Are Making AI Tools Connect Better

There's a new standard called MCP that helps AI agents talk to different tools and services. Companies like Microsoft and Salesforce are using it to make sure AI agents can connect safely. This matters because AI agents need to be able to access databases, run code, and control programs to actually get work done. The big tech companies think MCP will become as important as HTTP and SQL, which are the foundation of the internet. These tools are helping AI agents move from just answering questions to actually doing real work.