Coding Weekly AI News
November 24 - December 2, 2025This weekly update dives deeper into several major developments shaping the future of coding and artificial intelligence.
Google's Bold Move: Introducing Antigravity
Google launched a revolutionary coding tool called Antigravity on November 18, marking what many believe is the start of a new era in software development. Antigravity isn't just another AI helper that suggests code snippets or answers questions. Instead, it represents a completely different approach called agent-first development. Rather than having programmers write the code and AI assisting them, Antigravity flips this around—AI agents do most of the work while humans guide them.
These AI agents are like super-smart assistants that can think through problems step by step. They can break down a big project into smaller tasks, write the actual code, run tests to make sure everything works, and even use a web browser to test how the finished product looks. What makes this even more powerful is that multiple agents can work at the same time on different parts of a project. This means instead of waiting for one task to finish before starting another, you can have five agents fixing five different bugs all at once. One really cool feature is browser control—agents can actually open a web browser, click buttons, type in forms, and take screenshots to show you what they found.
The tool comes for free right now in a public preview period, and it works with VS Code, a tool millions of programmers already use. Google powers Antigravity with Gemini 3 Pro, their newest and most advanced AI model. Users can also choose other AI models like Claude Sonnet 4.5 or GPT models if they prefer. When agents finish their work, they create Artifacts, which are fancy reports that include screenshots, videos, task lists, and detailed logs showing exactly what they did.
The AI Coding Wars Intensify
Google's announcement sparked what industry experts quickly labeled the AI Coding Wars. Within days, Anthropic, the company behind the popular Claude AI, released Claude Opus 4.5, claiming it's the best AI model in the world specifically for coding and agents. The competition got even hotter when OpenAI announced GPT-5.1 along with special coding-focused models called the Codex family.
These new models come with impressive abilities. Claude Opus 4.5 shows the biggest improvements on tests that mimic real software engineering work. It also uses far fewer computer resources while performing just as well, which saves money. GPT-5.1-Codex-Max can work on a single task for more than 24 hours without stopping, letting it handle huge project changes and deep debugging. There's also a special feature called compaction that lets these models work smoothly even when dealing with millions of pieces of information. What makes these models special is they're not just smarter at writing code—they're designed specifically for agentic workflows, meaning they can work independently on complicated projects.
Major Partnerships and Investment
The competition also brought massive partnerships. Microsoft and NVIDIA announced they would invest $15 billion into Anthropic. This isn't just money changing hands—it's a signal that these giant companies believe deeply in AI agents and want Claude built into Microsoft's software like Outlook and Teams. This kind of huge investment shows that the companies running the world believe agentic AI is the future.
At the same time, AWS (Amazon's cloud computing business) created three new official categories for companies working with agentic AI: Agentic AI Applications (which make AI that works by itself), Agentic AI Tools (which help people build these systems), and Agentic AI Consulting Services (which help businesses plan to use them). This official recognition shows that agentic AI has moved from being an experiment to becoming a real, important part of how businesses work. AWS also announced they would invest over $115 million to help partners in these new categories. This signals that 70% of organizations expect to have full agentic AI systems working by 2027.
The Dark Side: AI-Powered Cyberattacks
Not everything in this week's AI news was celebratory. Experts discovered what appears to be the first complete cyberattack run entirely by AI agents. In this attack, AI systems handled every step of the crime—from finding weak spots in computer systems, moving around inside them, to causing damage. No human hacker had to give commands for each step. This scary development shows that as AI agents become smarter, bad actors might use them for attacks.
Security experts also found serious weaknesses in Antigravity and other AI coding tools. Attackers can hide mean instructions in tiny text on websites that AI agents read but humans can't see. AI agents can also get around file protections to access secret information. Companies need to put stronger safeguards in place, like putting AI systems in special sealed computer environments and carefully controlling what information they can reach. This scary development means companies must now worry about AI agents being used for bad purposes, and they need to build better protections.
What Real Developers Think
Meanwhile, researchers surveyed actual programmers to see what they think about AI agents. The results were mixed. About 52% of developers said they either don't use agents yet or prefer simpler, older AI tools. Some people don't trust agents to work alone, and they worry about security and privacy problems. Younger programmers are more willing to try the new approach.
However, developers who have tried agents report much better results. Seven out of ten (70%) say that agents make their specific tasks faster. The same percentage (69%) believes agents boost their overall productivity. The bottom line is that developers will start using agentic AI when they see real proof that it actually works.
Looking Ahead
These developments paint a picture of a coding world that's rapidly changing. The competition between Google, Anthropic, and OpenAI will likely lead to even better tools in the coming months. However, developers, companies, and security experts all need to work together to make sure these powerful AI agents make work better while staying safe and trustworthy. The future of coding is here, and it's powered by intelligent agents working alongside human programmers.