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It has been one year since Anthropic first open sourced Model Context Protocol (MCP), and to celebrate this anniversary a new version of the specification is being released. “It’s hard to imagine that a little open-source experiment, a protocol to provide context to models, became the de-facto standard for this very scenario in less than twelve months,” the MCP Core Maintainers wrote in a blog post . The latest release includes support for task-based workflows (experimental). According to the maintainers, tasks provide a new type of abstraction for tracking the work an MCP server performs. It enables several new capabilities, such as active polling to check the status of ongoing work anytime and result retrieval to see results of completed tasks. Tasks also support many different states including working , input_required , completed , failed , and cancelled . Some use cases that tasks would be helpful for include healthcare data analysis where hundreds of thousands of data points a...

Anthropic has released the latest version of its largest Claude model, Opus. Claude Opus 4.5 is better at handling complex reasoning than previous Claude models and makes improvements across agentic tool use, computer use, novel problem solving, and more. The company says early testers of the new model claim that it handles ambiguity better and reasons over tradeoffs without needing human intervention. “They told us that, when pointed at a complex, multi-system bug, Opus 4.5 figures out the fix. They said that tasks that were near-impossible for Sonnet 4.5 just a few weeks ago are now within reach. Overall, our testers told us that Opus 4.5 just ‘gets it,’” Anthropic wrote in a post . This release also coincides with a new effort parameter being introduced in the Claude API, allowing developers to decide how much effort Claude should spend on a problem. According to Anthropic, Opus 4.5 uses significantly fewer tokens than its predecessors to solve problems, even at its highest effort...

A new malicious campaign linked to the Shai-Hulud worm is making its way throughout the npm ecosystem. According to findings from Wiz , over 25,000 npm packages have been compromised and over 350 users have been impacted. Shai-Hulud was a worm that infected the npm registry back in September , and now a new worm spelled as Sha1-Hulud is appearing in the ecosystem again, though it is unclear at the time of writing whether the two worms were made by the same threat actor. Wiz and Aikido researchers have confirmed that Sha1-Hulud was uploaded to the npm ecosystem between November 21st and 23rd. They also say that projects from Zapier, ENS Domains, PostHog, and Postman were some of the ones that were trojanized, and newly compromised packages are still being discovered. Like Shai-Hulud, this new malware also steals developer secrets, though Garrett Calpouzos, principal security researcher at Sonatype, explained that the mechanism is slightly different, with two files instead of one. “Th...

The adoption of AI in enterprise organizations is causing an evolution in the practice of strategic portfolio management (SPM). The changes reshaping this — lean portfolio management, shorter application delivery cycles and the rise of agentic AI — are redefining how organizations align investment with execution. Many organizations that have brought AI into their operations have seen few tangible results to drive their businesses. In 2026, this will require organizations to apply SPM principles to their own AI investments—managing costs and understanding value. SPM, according to Jean-Louis Vignaud, senior director and head of ValueOps by Broadcom, will be elevated to a CEO-level concern, directly impacting enterprise strategy. “As AI is being used, the delivery cycle from idea to realization is shortening, and that means the annual operating plan is becoming a thing of the past,” he said. “You cannot plan 12 months ahead. You need to be way more reactive. Because, you know, everythin...

The latest version of the web framework Angular is now available, with new features like Signal Forms (experimental), Angular Aria (preview), and updates to the Angular MCP Server. “With the release of v21, Angular is an even greater partner for your daily adventures — giving you the stability of the Angular framework while enabling you to build great AI-powered applications that are scalable and accessible for everyone,” Jens Kuehlers, technical program manager for Angular, and Mark “Techson” Thompson, staff developer relations engineer for Angular, wrote in a blog post . Signal Forms is a library that allows developers to manage form state using signals. With this library, the form model is defined by a signal which syncs to the form fields that are bound to it, ensuring full type-safety for accessing form fields. Common validation patterns, like email validation or regular expression matching, come built in, and developers can also create their own custom validations. Angular Ari...

The first wave of AI adoption in software development was about productivity. For the past few years, AI has felt like a magic trick for software developers: We ask a question, and seemingly perfect code appears. The productivity gains are undeniable, and a generation of developers is now growing up with an AI assistant as their constant companion. This is a huge leap forward in the software development world, and it’s here to stay. The next — and far more critical — wave will be about managing risk. While developers have embraced large language models (LLMs) for their remarkable ability to solve coding challenges, it’s time for a conversation about the quality, security, and long-term cost of the code these models produce. The challenge is no longer about getting AI to write code that works. It’s about ensuring AI writes code that lasts. And so far, the time spent by software developers in dealing with the quality and risk issues spawned by LLMs has not made developers ...

ChatGPT captured the world’s imagination, but it may have also trapped it. The chatbot interface—with its familiar conversational format—made AI accessible to millions, demonstrating the remarkable capabilities of large language models (LLMs) in a package that felt natural and inviting. Yet this very success has created a misconception: that AI equals chatbots, and that every application needs a chat window to be AI-powered. The reality is more nuanced. ChatGPT succeeded not just because of its underlying technology, but because it brilliantly matched interface to capability. By packaging AI in a conversational format, OpenAI created a product where errors were acceptable—even expected. Users could correct misunderstandings, refine prompts, and iterate toward better answers. The chatbot became the perfect vehicle for technology that was inherently probabilistic and occasionally wrong. But what works for general-purpose exploration doesn’t translate to domain-specific business applica...

It seems in the great, exhilarating, terrifying race to take advantage of agentic AI technology, a lot of us are flooring it, desperate to overtake competitors, while forgetting there are several hairpin turns in the distance requiring strategic navigation, lest we run out of talent in the pursuit of ambition and wipe out entirely.  One of the major “hairpins” for us to overcome is security, and it feels like cyber professionals have been waving their arms and shouting “watch out!” for the better part of a year. And with good reason: On Friday, the 14th of November, Anthropic, a world-renowned LLM vendor made famous by its popular Claude Code tool, released an eye-opening paper on a cyber incident they observed in September 2025 that targeted large tech companies, financial institutions, chemical manufacturing companies, and government agencies. This was no garden-variety breach, it was an early holiday gift for threat actors seeking real-world proof that AI “double agents” coul...

The world of software development is undergoing a transformation, and GitKraken’s free, two-day virtual event,  GitKon 2025 ,  is set to redefine what it means to “ship responsibly in the age of AI.”  The theme of the conference is “The Builder’s Era,” and according to Jeremy Castile, VP of developer research at host company GitKraken,  the event will be a celebration of makers, maintaners, mentors and development leaders. “ For developers, it’s sharpen your craft, explore new tools, and learn how to work smarter with AI automation,” he said. “For leaders, it’s discover frameworks for scaling culture, measuring DevEx and leading teams through this transformation.” The event spans two full days – Dec. 10 and 11 – with the first day dedicated to developers and the second day for leaders, all focused on the central idea that developers are—and will remain—first-class citizens in the business. The central message from GitKraken is clear: this era is about AI assiste...

CIOs and CTOs have heard the same refrain for years on end: before you can deploy AI, you need to clean and unify your data. That belief made sense in the era of legacy machine learning, when reductive models required meticulous preprocessing and endless consulting hours. Vendors and integrators built entire business models on that assumption. Generative AI has turned that assumption on its head. Today’s models don’t need pristine datasets. In fact, they excel at working with information that’s fragmented or messy, and are capable of processing and enriching it dynamically. The belief that data must be perfect before you can act is actively holding organizations back. The generative AI shift Unlike earlier approaches, generative AI can take on the heavy lifting of managing and improving data. Instead of years spent standardizing formats and building pipelines, enterprises can let AI do the hard work and focus human effort on extracting value. Research backs this up. A Stanford stud...

Honeycomb has announced that it is expanding its observability platform with native support for standard OpenTelemetry metrics. According to the company, engineers can now use gauges, counters, and histograms to track trends, monitor system health, and detect performance changes over time. This data will give them a better sense of how what is happening in their infrastructure relates to what is happening in their applications. “Full time-series metrics are the industry standard for most developers and site reliability engineers,” said Graham Siener, vice president of product at Honeycomb. “Our new Metrics capabilities meet customers where they are, combining open-standard metrics methodologies with our industry-leading tracing data to better determine the context around critical issues. The Honeycomb Intelligence platform, which includes our improved Metrics, is purpose-built for teams of every size and provides a platform for success that organizations can use to navigate their AI ...

During the Microsoft Ignite conference, Microsoft announced several new products and features designed to enable the agent-powered enterprise. “The future of work will be shaped by Frontier Firms—organizations that are human-led and agent-operated. These companies are reshaping how work gets done, empowering every employee with an AI assistant, amplifying impact with human-agent teamwork, and reinventing business processes with agents. Today at Microsoft Ignite, we introduced new capabilities in Microsoft 365 Copilot to help every customer become Frontier,” Microsoft wrote in a blog post . It announced Agent 365, a control plane for managing agents, whether they are created in Microsoft’s ecosystem or from third-party partners. Agent 365 consists of a registry that acts as a single source of truth for all of an organization’s agents, access controls for those agents, a unified dashboard and analytics engine that shows connections between agents and humans, interoperability with apps...

I n an increasingly interconnected business world, being able to connect business intelligence (BI)  tools to internal applications or data sources is a must. Fortunately, much of the industry has standardized around REST APIs, which provides a starting point for making these connections, but it’s not a perfect system as it stands today.   Progress Principal Sales Engineer, Dennis Bennett said “Pretty much every SaaS application will expose a REST API to give you access to it. Since [these applications are] hosted in the cloud, they’re never going to give you access to the database that holds your data because that’s just way too insecure, but they can give you access through an API so that you can make a request to get your data and it will go through some logic to ensure what you’re asking for is something you’re entitled to .” Dennis Bennett, Principal Sales Engineer at Progress. He explained that the downside to REST APIs is that they don’t lock you down into any ...

Coinciding with its announcement of Gemini 3 today, Google announced the launch of a new agentic development platform, Google Antigravity . The company sees Antigravity as an evolution of the IDE into an agent-first future, with capabilities like browser control and asynchronous interaction patterns. “With models like Gemini 3, we have started hitting the point in agentic intelligence where models are capable of running for longer periods of time without intervention across multiple surfaces. Not yet for days at a time without intervention, but we’re getting closer to a world where we interface with agents at higher abstractions over individual prompts and tool calls. In this world, the product surface that enables communication between the agent and user should look and feel different – and Antigravity is our answer to this,” Google wrote in a blog post . According to Google, this new IDE is based on four key tenets of collaborative development: trust, autonomy, feedback, and self...

Cloudflare today announced its intention to acquire Replicate, an AI platform that allows developers to deploy and run AI models. According to Cloudflare, by bringing Replicate into its portfolio, it will be able to turn Cloudflare Workers into a leading platform for building and running AI applications. “Soon, developers building on Cloudflare will be able to access any AI model globally with just one line of code,” the company wrote in an announcement . Replicate has over 50,000 production-ready AI models, which will be available in Cloudflare Workers AI. Cloudflare will also leverage Replicate’s expertise to add new capabilities to Workers AI, such as the ability to run custom models and pipelines. Existing Replicate users will be able to keep using their APIs and workflows without interruption, and will soon be able to benefit from Cloudflare’s network. “We’re still in the early innings of developers building AI applications, and too much of the complexity falls on the develope...