OpenAI has taken another major leap forward in reshaping how we experience the internet with the launch of ChatGPT Atlas, its first-ever AI-powered web browser. Designed to merge intelligent conversation, automation, and personalization, Atlas aims to redefine how users search, browse, and interact online.

A Bold Move Beyond Chat

Announced on Tuesday, ChatGPT Atlas represents OpenAI’s most ambitious attempt yet to move beyond text-based AI chat. The browser is built to integrate ChatGPT’s intelligence directly into everyday browsing, turning ordinary searches into smart, conversational experiences.

The company confirmed that Atlas will launch first on macOS, followed by Windows, iOS, and Android. Unlike many tech launches, Atlas will be available to free users at release, giving everyone the chance to experience AI-driven browsing from day one.

ChatGPT at the Core

According to Ben Goodger, OpenAI’s Engineering Lead for Atlas, ChatGPT forms the foundation of the browser’s experience. Users can chat directly with their search results, ask follow-up questions, and explore topics in a conversational way—similar to Perplexity’s Comet or Google’s experimental AI mode.

This deep ChatGPT integration is designed to help users go beyond links and pages, enabling them to understand, summarize, and act on web content instantly.

Smarter Browsing with Sidecar and History Awareness

A major highlight of ChatGPT Atlas is its sidecar feature—a built-in AI assistant that automatically understands what’s on your screen. It can summarize pages, generate insights, and even reference what you’re viewing without manual input.

Adam Fry, Product Lead for Atlas, also revealed that the browser introduces AI-powered browsing history awareness. This allows ChatGPT to learn from your activity and tailor responses to your preferences and workflow, creating a personalized browsing experience unlike anything on the market.

Automating the Web with Agent Mode

Another major addition is Agent Mode, an AI-driven feature that enables ChatGPT to perform web-based tasks automatically. From filling forms to navigating sites and retrieving information, users can delegate routine tasks directly to the AI.

At launch, Agent Mode will be available exclusively to ChatGPT Plus, Pro, and Business subscribers, though broader rollout is expected later.

While early AI agents—like those in Perplexity’s Comet or OpenAI’s own experimental versions—have faced challenges with complex automation, Atlas appears to be built for continuous learning and improvement based on user interaction.

Rethinking What a Browser Can Be

At OpenAI’s Dev Day conference, Nick Turley, Head of ChatGPT, highlighted that Atlas represents a turning point in how browsers function. “Browsers changed how people worked online,” Turley noted. “Now, ChatGPT is doing the same for how people think, search, and get things done.”

By blending ChatGPT’s conversational intelligence with the open web, OpenAI is positioning Atlas as more than a browser—it’s an AI workspace for the modern internet user.

The Road Ahead

The challenge now lies in whether ChatGPT Atlas can disrupt the dominance of Google Chrome, which currently commands over 3 billion users worldwide. While Chrome and Edge continue to add AI features, OpenAI’s approach feels more native and deeply integrated.

If successful, ChatGPT Atlas could redefine browsing altogether—shifting it from a search-and-click routine to an interactive, intelligent dialogue with the web.

Conclusion

With ChatGPT Atlas, OpenAI isn’t just launching a browser—it’s building the future of the web. By combining conversational AI, personalized insights, and automated actions, Atlas stands poised to change how people search, learn, and work online.

Anthropic has taken a major step in making its popular AI coding assistant more accessible. The company officially launched Claude Code for Web, allowing developers to create, manage, and collaborate with AI coding agents directly from their browsers.

The rollout began on October 20, 2025, and is now available to users subscribed to Anthropic’s Pro ($20/month), Max ($100/month), and Max+ ($200/month) plans. Subscribers can access Claude Code through claude.ai — the same platform used for the company’s chatbot — or via the Claude iOS app.

From Terminal to Browser

Until now, Claude Code was primarily a command-line interface (CLI) tool — beloved by developers who preferred a fast, code-focused environment. With the web expansion, Anthropic aims to make its AI coding agents easier to use across devices and platforms, bridging the gap between traditional developers and those who prefer a graphical interface.

“Our goal is to meet developers wherever they are,” said Cat Wu, Anthropic’s product manager for Claude Code. “The web and mobile versions represent a big step in that direction, while the CLI remains the most powerful and customizable way to use coding agents.”

Rising Competition in AI Coding Tools

The move places Anthropic in a fierce race alongside Microsoft’s GitHub Copilot, Google’s Gemini Code Assist, OpenAI’s AgentKit, and Cursor AI. Once dominated by Copilot, the AI coding landscape has become a multi-player arena where performance, customization, and developer experience matter most.

Despite the competition, Claude Code stands out as one of the most popular AI coding tools today. Since its broader launch in May 2025, its user base has grown tenfold and now generates over $500 million in annualized revenue for Anthropic.

Wu attributes the tool’s success not only to Anthropic’s advanced models but also to the company’s focus on making the experience enjoyable.

“We like to sprinkle in some fun,” Wu noted, highlighting that developers appreciate a lighter touch in their coding workflow.

Built by AI, for AI Developers

In an impressive demonstration of its own technology, 90% of Claude Code’s codebase was written by Anthropic’s AI models. Wu, a former software engineer herself, shared that she now spends more time reviewing AI-generated code than manually writing it.

This shift reflects a broader trend in software development: AI coding agents are transforming developers into managers of autonomous AI assistants, rather than traditional coders typing every line.

A Changing Developer Workflow

Earlier AI tools worked like smart autocompletes — finishing snippets of code as users typed. However, new-generation tools like Claude Code go much further, allowing users to deploy autonomous agents that can design, debug, and execute entire projects independently.

Not all developers are convinced, though. Studies show some engineers actually become less efficient when using AI coding assistants, often due to the time spent prompting, reviewing, and correcting AI-generated code. Additionally, large or complex projects can still confuse AI models, leading to inconsistent results.

Even so, companies like Anthropic are pressing forward. CEO Dario Amodei has predicted that AI will soon write up to 90% of all code, a reality already taking shape inside Anthropic’s own walls.

Conclusion

With Claude Code for Web, Anthropic is signaling the next stage in AI-assisted programming — one where developers can collaborate with coding agents seamlessly across platforms. While challenges remain in accuracy and productivity, the evolution from CLI to browser marks a pivotal moment in the future of software development.

Adobe is taking enterprise creativity to the next level with the launch of Adobe AI Foundry, a new service that allows businesses to create their own custom generative AI models tailored to their brand identity and intellectual property.

Unveiled on October 20, 2025, Adobe AI Foundry expands the company’s growing suite of enterprise AI tools, offering organizations the ability to generate text, images, videos, and even 3D content using models uniquely trained for their needs.

Built on Firefly — and Powered by Brand DNA

At its core, AI Foundry leverages Adobe’s Firefly family of AI models, which first debuted in 2023. Firefly models are trained exclusively on licensed data, ensuring safety and copyright compliance — a key concern for enterprise users.

With Foundry, Adobe takes this a step further: each company’s model is fine-tuned using its own data and creative assets, resulting in a powerful, brand-specific AI system. This means businesses can produce on-brand marketing content at scale — from seasonal ad campaigns to multilingual versions of the same creative — all while maintaining consistency across every channel.

Flexible Pricing and Enterprise Collaboration

Unlike Adobe’s traditional “per seat” pricing, Foundry operates on a usage-based model, giving enterprises more flexibility. According to Hannah Elsakr, Adobe’s Vice President of Generative AI New Business Ventures, this launch marks a natural evolution of Adobe’s enterprise strategy.

“The enterprise has asked us to come in, advise, and partner with them as their creative AI collaborator,” Elsakr said. “This takes the capabilities we already had and raises them to a whole new level.”

Since the launch of Firefly, companies have already created over 25 billion assets, showcasing the massive adoption of Adobe’s generative AI ecosystem.

Personalization at Scale

Elsakr explained that AI Foundry enables brands to keep up with the growing demand for personalized content. A company can now design a single campaign and let its custom model automatically adapt it for different audiences, languages, or seasons, maintaining the same creative DNA across every version.

“We’ve been talking about personalized commerce for years,” Elsakr noted. “Now, generative AI makes it possible to deliver personalization that truly feels on-brand.”

Humans Still at the Heart of Creativity

Despite the rapid rise of AI in creative industries, Adobe maintains that these tools are meant to empower, not replace human creativity.

“Humanity remains at the center of creativity — that can’t be replaced,” Elsakr emphasized. “For decades, Adobe has built tools that help people tell better stories. Firefly and Foundry are the next evolution of that mission — giving creators even more power to bring their visions to life.”

Conclusion

With Adobe AI Foundry, enterprises gain the ability to shape AI tools around their unique brand voice and creative identity — a move that blends innovation with integrity. By combining Firefly’s ethical data foundation with Foundry’s customization, Adobe is positioning itself as the premier partner for enterprise-grade generative AI in the creative world.

Google has officially expanded its AI-powered developer toolkit with the launch of Gemini CLI Extensions, a new system that allows third-party integrations directly into its command-line interface (CLI) tool.

Unveiled on October 8, 2025, this new feature gives developers the freedom to connect tools and services like Figma and Stripe straight into Gemini CLI, transforming it into a powerful and flexible development platform.

A Step Toward an Open Ecosystem

Unlike OpenAI’s recently launched ChatGPT apps—which require approval before being listed—Google’s approach embraces openness. With Gemini CLI Extensions, any developer or company can publish their own integrations without needing Google’s endorsement or participation. These extensions are hosted on public repositories such as GitHub, where developers can manually install them.

Taylor Mullen, a senior staff engineer at Google, emphasized this open approach in an interview with TechCrunch, noting that the project’s foundation is “a fair ecosystem that anyone can participate in.”

How It Works

The first available extension connects Gemini CLI to Google’s Nanobanana image generator, letting users create AI-generated images directly from the terminal once the extension is installed. This marks a big step in merging creative and coding workflows inside the command-line environment.

Ryan J. Salva, Google’s senior director of product management for developer tools, explained that the vision behind Gemini CLI Extensions is to turn the CLI into “an extensibility platform—a bridge to other tools and commands in your development workflow.”

Rapid Growth Among Developers

Since its launch in June 2025, Gemini CLI has already surpassed one million users, primarily developers who rely on the AI system for coding, debugging, and project maintenance. Interestingly, Google itself uses Gemini CLI extensively for internal development, demonstrating its practical reliability and scalability.

Why It Matters

The introduction of Gemini CLI Extensions positions Google’s AI developer tools as a serious contender in the race to make coding more collaborative, open, and AI-driven. By enabling anyone to build and share extensions freely, Google is fostering a vibrant ecosystem that could evolve as rapidly as the open-source community itself.

Conclusion

With Gemini CLI Extensions, Google isn’t just expanding its AI coding assistant—it’s empowering developers to shape their own AI-driven workflows. The open model could redefine how developers collaborate, create, and automate within their coding environments, setting a new benchmark for flexibility in AI development tools.

OpenAI has taken another major step toward empowering developers by launching AgentKit, a comprehensive toolkit for building and deploying AI agents. The announcement was made by OpenAI CEO Sam Altman during the company’s Dev Day 2025 event.

Altman described AgentKit as “a complete set of building blocks” that helps developers take AI agents from concept to full-scale production with minimal friction. The toolkit aims to simplify the creation, deployment, and optimization of AI-driven workflows—marking a clear move to make AI agent development faster, more accessible, and enterprise-ready.

What’s Inside AgentKit

AgentKit introduces four key components that streamline the process of building intelligent, autonomous agents:

• Agent Builder – Dubbed as the “Canva for AI agents,” this feature allows developers to visually design the logic, workflows, and behaviors of agents. It’s built on top of OpenAI’s existing Responses API, which already supports hundreds of thousands of developers worldwide.
• ChatKit – A plug-and-play chat interface that developers can embed directly into their applications. It offers customization options to match brand identity and integrate unique workflows, allowing businesses to deliver AI-powered conversations tailored to their users.
• Evals for Agents – A performance evaluation framework that enables step-by-step trace grading, dataset benchmarking, and automated prompt optimization. It also supports evaluations on external models, ensuring high-quality agent behavior and decision-making.
• Connector Registry – This feature lets developers securely connect their AI agents to internal tools and third-party systems through an admin control panel. It ensures both flexibility and data security—critical for enterprise adoption.

A Demonstration of Speed and Simplicity

During the event, OpenAI engineer Christina Huang demonstrated AgentKit’s capabilities live on stage—building a complete AI workflow and two functional agents in under eight minutes. The demonstration showcased just how streamlined the process has become for developers.

Altman emphasized that this toolkit represents everything OpenAI’s team wished they had when building their first AI agents. He also revealed that several launch partners are already leveraging AgentKit to scale their AI solutions rapidly.

Strengthening OpenAI’s Developer Ecosystem

The launch of AgentKit follows other major announcements at Dev Day, including the ability to build applications directly inside ChatGPT, which now boasts 800 million weekly active users. Together, these innovations underscore OpenAI’s strategy to become the go-to platform for AI agent development, as competition intensifies with rivals racing to deliver similar enterprise solutions.

Conclusion

With AgentKit, OpenAI is not just providing another developer tool—it’s laying the groundwork for the next wave of AI automation. By giving developers intuitive visual tools, powerful evaluation systems, and secure integrations, OpenAI is making it easier than ever to bring intelligent agents to life across industries.

Google is pushing its AI coding agent Jules deeper into developer toolchains, making it more accessible and powerful as competition in AI-assisted coding intensifies. The company has rolled out Jules Tools, a new command-line interface (CLI), along with a public API, allowing developers to integrate the agent directly into their terminals, CI/CD systems, Slack, and even IDEs.

Jules Tools: AI Coding Inside the Terminal

Previously available only through its website and GitHub, Jules can now live inside the terminal. With the new CLI, developers no longer need to switch between web and GitHub — instead, they can run commands, delegate tasks, and validate results right where they work.

Kathy Korevec, Google Labs’ director of product, explained: “We want to reduce context switching for developers as much as possible.”

Unlike Google’s Gemini CLI, which requires ongoing collaboration, Jules Tools is designed for “scoped tasks” that can run independently once approved by the user.

How Jules Stands Out

Google’s senior developer advocate, Denise Kwan, noted that Jules is intentionally less interactive than Gemini CLI. It executes tasks independently, minimizing back-and-forth. The public API further extends its reach, enabling developers to embed Jules in IDEs like VS Code or even create custom integrations across their workflows.

Google is also working on dedicated IDE plug-ins to strengthen Jules’ presence in developer environments.

New Features and Expanding Beyond GitHub

In recent weeks, Jules has gained several upgrades, including:

• Memory for recalling user interactions and preferences
• Stacked diff viewer layout
• Image uploads
• Pull request comment handling

Currently, Jules is tied to GitHub repositories. However, Google is exploring integrations with other code hosting platforms and even environments without version control.

Oversight and Mobile Challenges

Jules is built with task oversight in mind. If it encounters an issue, it pauses and prompts the user for help rather than stalling silently.

On mobile, though, challenges remain. While Jules works through the web interface, native notifications aren’t supported yet. Korevec confirmed Google is actively improving the mobile experience.

Who’s Using Jules?

So far, Jules has mainly attracted software engineers and professionals, but some casual coders are also using it to extend projects started on lighter “vibe coding” platforms.

Launched in public preview in May and out of beta by August, Jules is now available in structured pricing tiers:

• Free plan: Up to 15 daily tasks, 3 concurrent tasks
• Pro plan ($19.99/month): 5× higher limits
• Ultra plan ($124.99/month): 20× higher limits

Conclusion

By adding a CLI, API, and memory features, Google is transforming Jules from a GitHub-dependent assistant into a flexible, workflow-ready AI coding agent. With competition heating up in the AI coding space, these moves position Jules as a serious contender for developers who want efficiency without heavy context switching.

Opera has officially launched Neon, a next-generation browser built around artificial intelligence, aimed at redefining how people interact with the web. Unlike traditional browsers, Neon is designed to act as a digital assistant, helping users complete tasks, automate workflows, and even build mini-apps — all through AI-driven prompts.

Opera first teased Neon back in May, when it was available only in closed preview. Now, the company is rolling it out more widely, though access is limited to select invitees. Those who get in will need to pay a subscription fee of $19.99 per month.

What Makes Neon Different?

Neon isn’t just another browser with a chatbot bolted on. It has several standout features that set it apart from competitors like Perplexity’s Comet and The Browser Company’s Dia:

• Neon Do: A productivity-focused tool that can perform tasks like summarizing a Substack post and automatically sharing it to Slack, or fetching details from a YouTube video you watched last week.
• AI Coding Support: The browser can generate code snippets to help create visual reports with tables and charts.
• Cards (Repeatable Prompts): Much like Dia’s “Skills,” Cards let you build reusable AI prompts. Think of them as IFTTT for AI, where you can chain together commands like “pull-details” and “comparison-table” to automate workflows across tabs.
• Tasks (Tab Workspaces): A new organizational feature that works like a hybrid of Tab Groups and Arc Browser’s Spaces, but with added AI context.

Aiming for Power Users

Opera is pitching Neon as a premium tool for heavy AI users rather than a casual browsing option. By charging a subscription fee, the company is signaling that it sees Neon as a productivity investment, not just another free browser.

In its demos, Opera showcased Neon handling tasks as ambitious as ordering groceries on your behalf. However, like many AI-driven products, the real test will be whether these features hold up outside of controlled demos.

The Bigger Picture

Opera enters an increasingly competitive space. Beyond Perplexity and Dia, major players like Google and Microsoft are also rapidly infusing AI into their browsers. But Opera’s bet is that a dedicated, AI-first browser with powerful automation tools will appeal to a niche audience of professionals and enthusiasts who rely heavily on AI in their daily workflows.

Conclusion

Opera Neon represents a bold step into the future of browsing — where the browser isn’t just a window to the internet, but an active collaborator in your work. Whether it can deliver on its promise and justify its monthly fee will determine if Neon becomes a game-changer or just another experiment in AI-powered browsing.