Best Programming Master

Posts

Azul acquires enterprise Java platform Payara

The Java vendor Azul has announced that it is acquiring Payara, a company that provides solutions for Jakarta EE-based applications. The two companies have been collaborating in various ways for the past eight years, starting in 2018 when Azul Platform Core became integrated into Payara Server Enterprise. According to Azul, by officially bringing Payara into its portfolio, it will be able to expand its market reach with new products tailored to enterprise Java. “This strategic acquisition is further testament to Azul’s commitment to support the needs of our global enterprise customer base,” said Scott Sellers, co-founder and CEO of Azul. “Payara delivers proven products that are naturally synergistic with our existing offerings and brings additional deep technical expertise to the world’s largest independent Java engineering team. Together, we will accelerate growth and innovation, expand our roadmap and deliver even greater value to our customers.” Steve Millidge, founder and CEO ...

Harness Announces $240M Financing Round to Advance “AI for Everything After Code”

SAN FRANCISCO — Harness, the AI Software Delivery Platform company, today announced a $240 million Series E financing round. The financing round is comprised of a $200 million investment led by Goldman Sachs and a planned $40 million tender offer with participation from IVP, Menlo Ventures, and Unusual Ventures. This investment values Harness at $5.5 billion and reflects the accelerating demand for a unified, AI-native platform for software delivery. While AI is transforming how software is written, that work represents only the beginning of the engineering life cycle. Most teams spend just 30–40% of their time writing and iterating on code; the remaining 60–70% goes to the “outer loop” — testing, deployments, security, compliance, and optimization. These workflows are deeply interconnected and still highly manual, creating friction that slows velocity. Harness is bringing AI and automation to this outer loop, turning the most complex and time-consuming parts of software d...

Progress adds Agentic UI Generator to latest versions of Telerik and Kendo UI

Progress Software announced the latest releases of its Telerik and Kendo UI products, which both include an Agentic UI Generator that can create multi-component, fully styled, enterprise-grade page layouts. The Agentic UI Generator is currently available for Progress Telerik UI for Blazor, Progress KendoReact, and Progress Kendo UI for Angular. “With today’s release, AI-based code generation is now enterprise-ready, providing new horizons for UI development,” said Loren Jarrett, EVP and GM of digital experience at Progress Software. “Instead of simply generating code with AI that requires review and revision, with the Agentic UI Generator, developers can now build production-ready interfaces based on best practices from simply a prompt. This marks an important milestone—not just for Telerik and Kendo UI, but for how modern applications will be built going forward.” This release also introduces 12 new AI coding assistants for .NET and JavaScript, as well as new AI components, such ...

Wherobots launches RasterFlow to provide foundations needed to apply AI models on satellite image datasets

Spatial intelligence company Wherobots today announced the launch of a private preview of RasterFlow , a satellite image preparation and inference solution that will make it easier to gain insights from that type of data. “RasterFlow is a new compute engine that is going to help feed data about the physical world to all sorts of different types of applications, but then also make it so that we can process it and serve other applications as well,” said Ben Pruden, head of go-to-market at Wherobots. By streamlining this process, customers will be able to run AI models on physical world data to get answers to physical world questions, such as predicting fields and their boundaries from an overhead view of farmland. According to the company, most data teams don’t have the expertise or budget to build out the infrastructure needed for working with spatial data. For instance, a team looking to analyze wildfire state and predicted spread to manage risk to buildings would need to ingest and...

The antidote to the JavaScript industrial complex: How XMLUI puts the business developer back in control

For too long, the barrier to entry for building even basic business applications has been artificially high. The requirements for front-end development have included expertise in React, CSS, and other disciplines, forcing organizations into a costly and inefficient hiring cycle. XMLUI was created to address this problem, designed for the “line of business app,” according to Jon Udell, a consultant and co-creator on the project. “I just have an app that is controlling some settings on my server, and monitoring who’s connected to my server… things like that. So that app is now written in XMLUI, and we’re kind of going through and refining it. That’s a nice dynamic, because, as you know, people try to do real things with XMLUI.” For building business apps, he said, it’s “just delightful” to not have to know about React to get the reactive behavior, or to not have to deal with CSS. The out-of-the-box XMLUI theme enables an app that looks professional and behaves gracefully. “This is not,...

Companies Are Collecting More Unstructured Data and Spending More to Manage It, Amid Mounting AI Challenges

Komprise , the leader in analytics-driven unstructured data management, announces the results of its annual industry survey. A whopping 85 percent of IT and data storage leaders are projecting an increase in data storage spend in 2026 while 74% are storing more than 5PB of unstructured data, a 57% increase over 2024, according to the Komprise 2026 State of Unstructured Data Management. Unstructured data is central to enterprises across industries. For example: A bank that wants to detect fraud beyond what traditional monitoring can catch might use customer emails and chat transcripts, both of which are forms of unstructured data. A hospital that wants to improve early detection for high-risk patients might need access to physician and nurse notes and medical images (unstructured data) in electronic health records. AI tools and apps also rely heavily on unstructured data. For example, an e-commerce company that wants to automate and improve its customer support experience might use...

Linux Foundation forms Agentic AI Foundation to be new home for MCP, goose, and AGENTS.md

The Linux Foundation today announced that it is forming the Agentic AI Foundation (AAIF) to promote transparent and collaborative evolution of agentic AI. Three major projects have been donated to the foundation at launch: Anthropic’s Model Context Protocol (MCP) , Block’s goose , and OpenAI’s AGENTS.md . Additionally, AAIF member Obot.ai will donate its MCP Dev Summit events and podcast to the foundation. MCP is a protocol developed by Anthropic that allows AI agents to access tools, data, and applications. It has been adopted by AI platforms like Claude, Cursor, Microsoft Copilot, Gemini, VS Code, and ChatGPT, and over 10,000 MCP servers have been created since it was open sourced in 2024. “Donating MCP to the Linux Foundation as part of the AAIF ensures it stays open, neutral, and community-driven as it becomes critical infrastructure for AI,” said Mike Krieger, chief product officer at Anthropic. “We remain committed to supporting and advancing MCP, and with the Linux Foundatio...

name.com adds new integrations to Bolt, Netlift, Replit, and Vercel to simplify domain registration and management

The domain name registrar name.com announced new integrations with several different development tool providers—Bolt, Netlify, Replit, and Vercel—to enable domain registration and setup to happen with developers’ existing tools and workflows. According to name.com, traditionally, domain registration has required developers to leave their workflow, leading to slower progress and increased complexity. By integrating its capabilities into popular development tools, name.com hopes to help product teams launch faster, reduce maintenance, and simplify their infrastructure. These latest partnerships feature custom integrations for each tool, ensuring that the name.com is adapting to the specific needs of each platform. For example, Vercel rebuilt its domain experience using name.com, which has allowed it to show hundreds of results at once, improve instance search performance, and optimize pricing to offer up to 50% savings on high demand top-level domains (TLDs). “We’re focused on making...

IBM to acquire Confluent for $11 billion

IBM has announced that it will be acquiring the data streaming company Confluent for $11 billion. Confluent is built on Apache Kafka, an open source data and event streaming platform that is used in analytics, monitoring, and event-driven architectures. The company has over 6,500 clients, including over 40% of the Fortune 500. IBM’s rationale behind the acquisition is that it believes that having real-time data capabilities has become critical in an era where data lives across a variety of IT environments. IBM also says that global data is expected to double by 2028 and over one billion new applications will be created, placing even more pressure on IT departments. Confluent’s capabilities will complement IBM’s Data and Automation portfolio; drive synergies across AI products and services, as well as consulting; and expand IBM’s go-to-market reach, IBM explained. “IBM and Confluent together will enable enterprises to deploy generative and agentic AI better and faster by providing ...

Overcoming the Twin Traps of AI

For all the capabilities enabled by advances in generative AI technology in the past few years, problems in the underlying architecture are holding it back in multiple ways. Counterintuitive AI is a company attempting to reinvent the AI reasoning stack to address those issues, and it believes that current LLM technology suffers from what the company calls the Twin Traps problem. Gerard Rego, founder of Counterintuitive AI, has spent a career spanning industry and academia, holding tech leadership positions at companies like Nokia, GM India, and MSC Software, as well as being a fellow at Stanford University, The Wharton School of Business at the University of Pennsylvania, and Cambridge University. He believes that the first trap of these Twin Traps relates to the fact that modern LLMs run on floating point arithmetic, which is designed for performance rather than reproducibility. With this mathematical foundation, every operation introduces rounding drift and order variance because...

This week in AI updates: Anthropic acquires Bun, GPT-5.1-Codex-Max added to API, and more (December 5, 2025)

Anthropic acquires Bun Bun is a JavaScript, TypeScript, and JSX toolkit, and Anthropic plans to incorporate it into Claude Code to improve performance and stability and enable new capabilities. “Bun is redefining speed and performance for modern software engineering and development. Founded by Jarred Sumner in 2021, Bun is dramatically faster than the leading competition. As an all-in-one toolkit—combining runtime, package manager, bundler, and test runner—it’s become essential infrastructure for AI-led software engineering, helping developers build and test applications at unprecedented velocity,” Anthropic wrote in a post . GPT-5.1-Codex-Max now available in OpenAI API GPT-5.1-Codex-Max is the company’s latest frontier agentic coding model, and it is faster, more intelligent, and uses fewer tokens than the base GPT-5.1-Codex. OpenAI also announced that developers can now delegate tasks from Linear to Codex. They can assign or mention Codex in an issue to trigger it, and then as...

Predictions for how companies will manage data in 2026

As this year comes to a close, many experts have begun to look ahead to next year. Here are several predictions for how companies will manage their data in 2026. Sijie Guo, CEO of StreamNative A fundamental shift is happening in how we think about data engineering. For decades, data engineers prepared data for human consumption – analysts, data scientists, and business users. In 2026, AI agents will emerge as primary data consumers, and this changes everything. “Context engineering” isn’t just a rebrand – it’s a recognition that agents have different requirements than humans: they need fresh, streaming context delivered in milliseconds, not batch updates delivered overnight. The best data infrastructure companies will embrace this evolution, using their deep expertise in streaming, storage, and processing to solve genuinely new problems around agent-facing analytics and real-time context delivery. While the underlying principles of good data engineering remain constant, the applica...

Google adds Data Commons extension to Gemini CLI

Google is adding a Data Commons extension to the Gemini CLI to make it easier for developers to access and interact with publicly available data. Data Commons is a large library of public data from around the world, gathered from sources like the United Nations, the World Bank, and a number of government agencies. The new extension can be used to ask questions like “What are some interesting statistics about India?” or “Analyze the impact of education expenditure on GDP per capita in Scandinavian countries” directly in the CLI. The Gemini CLI framework also allows developers to utilize this extension with other data-related extensions, like the MCP Toolbox for Databases to compare public data with proprietary datasets, or Looker to create visualizations from Data Commons results. Additionally, because the Data Commons pulls from authoritative information sources, it can be used to ground or compare data to reduce hallucinations. A developer could, for instance, compare data returne...

Report: Only 6% of leaders believe their data infrastructure can successfully support AI

Despite companies wanting to implement AI and reap the benefits of it, a majority don’t have the underlying foundations in place to make it work well. According to CData’s latest report, The State of AI Data Connectivity: 2026 Outlook, there is a clear link between data infrastructure maturity and AI maturity. The report found that 60% of the companies who have achieved AI maturity had invested in advanced data infrastructure, such as centralized, semantically consistent integration layers. One hundred percent of respondents agree that access to real-time data is necessary for AI agents, but 20% still lack real-time integration capabilities. Further, 46% of the organizations surveyed say that a single AI use case requires access to at least six different data sources. Additionally, AI-native software providers need three times more external integrations than traditional software companies. Finally, 71% of AI teams are spending at least a quarter of their time on “data plumbing” ra...