Anthropic has updated its Claude AI chatbot with the ability to build, host and share AI-powered apps directly in Claude. Launching in beta, the new function builds upon the Artifacts feature Anthropic introduced last year, allowing users to see and interact with what they asked Claude to create. “Now developers can iterate faster on their AI apps without worrying about the complexity and cost of scaling for a growing audience,” according to Anthropic. The San Francisco-based AI startup adds that millions people have already used Claude to create more than 500 million artifacts — from productivity tools to educational games. Continue reading Anthropic’s Claude Chatbot Is Now a No-Code App Developer

In a move to attract more developers to Gemini, Google is releasing an open-source command line interface (CLI) that will be free for most developers. CLIs offer a means to communicate with operating systems, and can be used as alternatives or complementary to an integrated developer environment (IDE). Gemini CLI has agentic capabilities and can code and “so much more,” according to Google, which lists content generation, problem solving, deep research and task management among its uses. Gemini CLI provides “lightweight access to Gemini, giving you the most direct path from your prompt to our model.” Continue reading Google Bows Gemini Command Line Interface for Developers

Startup Zencoder (formerly For Good AI) has launched a cloud-based AI-powered E2E testing agent that simplifies the pipeline from initial code to production-ready applications. Now in public beta, Zentester tackles “verification,” which Zencoder founder and CEO Andrew Filev calls “the missing link” in scaling AI-created code from concept to market-ready app. That complicated process is often delayed by a bottleneck in final testing. Zentester is designed to take that late-stage verification process “from days to hours,” Filev says. Zentester has the typical agent superpowers — seeing and interacting as users do by clicking buttons, filling in forms and navigating workflows. Continue reading Zencoder Testing Agent Shaves Weeks Off App Development

Microsoft has “tapped on the brakes” of its spending on artificial intelligence, reducing capital expenses by more than $1 billion in the first three months of 2025. But after 10 straight quarters of increased AI outlay, momentum continues to propel the sector forward with new data center commitments in 16 countries and the expansion of the Phi small language family with the debut of Phi-4 (that supports text, visual and voice inputs). The moves come on the heels of $70 billion in sales for the first three months of 2025, when profits were up 18 percent to $25.8 billion. Continue reading Microsoft Reduces Spending on AI but Momentum Continues

A new open-source code reasoning model called DeepCoder-14B-Preview has hit the market. Built atop DeepSeek-R1 and Qwen2.5 using reinforcement learning (RL), it aims to provide more flexibility by combining high-performance code generation with reasoning capabilities for real-world applications. Its performance is said to be comparable to OpenAI’s o3-mini, “but with a smaller footprint,” say its developers, the research-driven AI companies Together AI and Agentica. “We democratize the recipe for training a small model into a strong competitive coder,” explains Together AI. Continue reading Researchers Debut Preview of DeepCoder Reasoning Model

Google has added Gemini Embedding to its Gemini developer API. This new experimental model for text translates words, phrases and other text inputs into numerical representations, otherwise known as embeddings, which capture their semantic meaning. Embeddings are used in a wide range of applications including document retrieval and classification, potentially reducing costs and improving latency. Google is also testing an expansion of its AI Overviews search feature as part of a Gemini 2.0 update. Called AI Mode, it helps explain complex topics by generating search results that use advanced reasoning and thinking capabilities. Continue reading Google Updates AI Search and Intros Gemini Text Embedding

Artificial voice startup Hume AI has had a busy Q4, introducing Voice Control, a no-code artificial speech interface that gives users control over 10 voice dimensions ranging from “assertiveness” to “buoyancy” and “nasality.” The company also debuted an interface that “creates emotionally intelligent voice interactions” with Anthropic’s foundation model Claude that has prompted one observer to ponder the possibility that keyboards will become a thing of the past when it comes to controlling computers. Both advances expand on Hume’s work with its own foundation model, Empathic Voice Interface 2 (EVI 2), which adds emotional timbre to AI voices. Continue reading Hume AI Introduces Voice Control and Claude Interoperability

Anthropic is releasing what it hopes will be a new standard in data integration for AI. Called the Model Context Protocol (MCP), its goal is to eliminate the need to customize each integration by having code written each time a company’s data is connected to a model. The open-source MCP tool could become a universal way to link data sources to AI. The aim is to have models querying databases directly. MCP is “a new standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments,” according to Anthropic. Continue reading Anthropic Protocol Intends to Standardize AI Data Integration

Microsoft is previewing GitHub Copilot for Azure in an ambitious expansion of its AI app development toolkit that some say could fundamentally change how developers build software for the AI era. The new premise is that switching from one software to another, as developers often do, should be seamless, not disruptive — sort of a real-time language translation and integration system for code. To fend off the move by Microsoft, AWS announced it is making its Q Developer AI code assistant available as an inline chat add-on accessible from IDEs like JetBrains and Microsoft’s own Visual Studio. Continue reading Microsoft, Amazon Jockey for Lead Among AI Code Assistants

OpenAI has announced Swarm, an experimental framework that coordinates networks of AI agents, and true to its name the news has kicked over a hornet’s nest of contentious debate about the ethics of artificial intelligence and the future of enterprise automation. OpenAI emphasizes that Swarm is not an official product and says though it has shared the code publicly it has no intention of maintaining it. “Think of it more like a cookbook,” OpenAI engineer Shyamal Anadkat said in a social media post, calling it “code for building simple agents.” Continue reading OpenAI Tests Open-Source Framework for Autonomous Agents

Databricks Apps is a new platform designed to make building internal data and AI applications something that can be done in a few clicks. Available now in public preview on AWS and Azure, the template-based system lets users weave data and frameworks of choice into full-featured apps that can run in the Databricks environment. The company says the system can code and deploy a secure data app with AI integration in five minutes. “Ideal use cases include data visualization, AI applications, self-service analytics and data quality monitoring,” according to the San Francisco-based company. Continue reading Databricks Previews Toolkit for Internal Data, AI App Creation

Snap Inc. is leveraging its relationship with Google Cloud to use Gemini for powering generative AI experiences within Snapchat’s My AI chatbot. The multimodal capabilities of Gemini on Vertex AI will greatly increase the My AI chatbot’s ability to understand and operate across different types of information such as text, audio, image, video and code. Snapchatters can use My AI to take advantage of Google Lens-like features, including asking the chatbot “to translate a photo of a street sign while traveling abroad, or take a video of different snack offerings to ask which one is the healthiest option.” Continue reading Snapchat: My AI Goes Multimodal with Google Cloud, Gemini

OpenAI is previewing a new series of AI models that can reason and correct complex coding mistakes, providing a more efficient solution for developers. Powered by OpenAI o1, the new models are “designed to spend more time thinking before they respond, much like a person would,” and as a result can “solve harder problems than previous models in science, coding, and math,” OpenAI claims, noting that “through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes.” The first model in the series is being released in preview in OpenAI’s popular ChatGPT and in the company’s API. Continue reading OpenAI Previews New LLMs Capable of Complex Reasoning

Airtable, a 10-year-old firm focused on customized apps, is launching Cobuilder, which uses AI to turn a concept into a customizable application “in seconds,” without the need for human coding. The debut adds to a rapidly expanding field of no-code platforms that help non-technical types develop software suitable for enterprise use. “Within the next five years, teams will build the vast majority of applications in-house, customizing them to transform their most critical workflows,” predicts Airtable co-founder and CEO Howie Liu. “To get there, knowledge workers who are closest to the work need to be empowered to build.” Continue reading Airtable Enters No-Code Enterprise App Space with Cobuilder

Amazon announced the public preview launch of its GenAI-powered App Studio service. The platform — which is geared toward professionals who lack extensive software development skills — builds full-featured, enterprise-level apps using natural language prompts. Users simply describe what they would like the app to accomplish and the data sources available to it and App Studio will produce in minutes what the company claims, “could have taken a professional developer days to build from scratch.” The announcement was made during this week’s AWS Summit in New York City. Continue reading AWS Releases GenAI-Powered App Studio in Public Preview