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How AI Further Empowers Value Stream Management

At Broadcom’s Spark VSM Summit—“VSM evolution meets AI revolution”—SD Times sits with VSM head Jean Louis Vignaud to explore AI’s impact on value stream management. Key takeaways include – AI automates tasks, assesses risk and progress, and augments work like user stories, while VSM offers the alignment, visibility and metrics AI needs. Top use cases include resource forecasting, strategic investment alignment and compliance flagging. Executives should break down silos, shift to product-based funding and boost AI literacy. Companies must tidy data and use VSM systems to capture proprietary knowledge. Vignaud predicts VSM will manage business knowledge as an asset with human–AI teams that adapt and optimize. Read the full article here . The post How AI Further Empowers Value Stream Management appeared first on SD Times . from SD Times https://ift.tt/EMWpGxB

How AI further empowers value stream management

At Broadcom’s recent Spark VSM Summit, the theme was “VSM evolution meets AI revolution.” After the event, SD Times sat down with Broadcom’s Jean Louis Vignaud, the head of ValueOps at the company, to discuss the AI revolution and its connection to value stream management. This interview has been edited for length and clarity. DR: Everyone is talking about AI. But I’m curious to know how AI can make value stream management better. JLV: There are two powerful ways AI and VSM intersect. First, AI and VSM workflows, automating repetitive tasks, analyzing risk and progress and helping users create better, more complete artifacts like investment requests or features. And second, VSM provides the structure AI needs to thrive through alignment, visibility and measurable outcomes. DR: So, people who are implementing AI now with their value stream, what are the most promising use cases that you are seeing from your customers? JLV: From my perspective, AI is making a real impact across ...

Not sure where to go with AI? Here’s your roadmap.

AI technology is disrupting industries at unprecedented speed, yet Gartner research reveals 47% of AI initiatives fail to reach production. This session examines how enterprise-grade AI capabilities, now accessible to businesses of all sizes, are fundamentally transforming operations, while organizational readiness lags critically behind. Through case studies from financial services, manufacturing, and healthcare, attendees will discover how Broadcom’s integrated framework, which combines technology roadmapping, value stream management, and workforce development, converges. This webinar demonstrates how this approach aligns AI investments with corporate initiatives to deliver measurable financial returns, with top performers achieving 7.2% higher operating income growth. Our four-phase methodology—Assessment, Planning, Implementation, and Evaluation—provides a clear path to quantifiable business results across industries. The session follows a compelling narrative arc from AI dis...

tRPC vs GraphQL vs REST: Choosing the right API design for modern web applications

APIs underpin most modern software systems. Whether you’re building a SaaS dashboard, a mobile app, or coordinating microservices, how you expose your data shapes your velocity, flexibility, and technical debt. Through several years of building production systems with React and TypeScript, I’ve shipped REST, GraphQL, and tRPC APIs. Each option presents distinct strengths, with real-world tradeoffs developers and engineering leaders should understand. This guide compares these technologies from a practical engineering perspective, focusing on architecture, type safety, toolchains, and developer experience. API Approaches Explained REST: The Web Standard REST (Representational State Transfer) organizes APIs around resources, linked to URL endpoints (e.g., /users/42 ). Clients interact using standard HTTP methods ( GET , POST , PUT , DELETE ). It’s simple, widely supported, and language-agnostic. GraphQL: Flexible Queries GraphQL, developed by Facebook, enables clients to query ...

Jakarta EE 11 Platform launches with modernized Test Compatibility Kit framework

The Eclipse Foundation today announced the release of Jakarta EE 11 Platform, which builds on the releases of the Core Profile in December 2024 and Web Profile in March.  This update adds significant enhancements, including a modernized Test Compatibility Kit (TCK) framework, updates to several specifications, and a new data specification. According to Tanja Obradovic, senior director of Java Programs for the Eclipse Foundation, TCKs are essential for testifying the quality of any application built based on Jakarta EE.  Part of the modernization includes moving from Apache ANT and Java Test Harness to JUnit 5 and Apache Maven. The structure of the TCKs themselves were also streamlined to reduce complexity so that they are easier to learn and use.  “The work that has been put into TCK is tremendous,” Obradovic said. “First off, we’re going to be able to enhance the pool of contributors and committers in that project because we’re using more modern tools. The second thi...

Qodo launches CLI agent framework

Qodo , maker of an AI coding platform, today announced the release of Qodo Gen CLI, an agent framework that enables developers to create, customize, and deploy their own AI coding agents. With the framework, creating agents can be done by writing configuration files that add autonomous AI agents throughout the software development life cycle, according to the company’s announcement. “Every developer should be able to create their own AI agents, just as they create scripts and automation today,” said Itamar Friedman, CEO and co-founder of Qodo. “By making agent creation simple and accessible instead of requiring complex AI engineering, we’re democratizing access to real automation that teams fully control.. Now a developer can create a custom agent for their unique workflow in minutes, not months.” Qodo was built to help developers  add autonomous coding capabilities to their applications without requiring expertise in AI systems, which can lead to solutions that sync up with an ...

Warp 2.0 evolves its terminal experience into an Agentic Development Environment

Warp is undergoing a significant transformation with its 2.0 launch, shifting from its origins as a terminal emulator with AI integrations into an Agentic Development Environment (ADE).  “The products on the market today, from AI IDEs to CLI coding agents, all miss the mark supporting this workflow. They bolt agents onto code editors through chat panels and bury them in CLI apps. What’s needed is a product native to the agentic workflow; one primarily designed for prompting, multi-threading, agent management, and human-agent collaboration across real-world codebases and infrastructure,” Zach Lloyd, the company’s CEO and founder, wrote in a blog post .  Lloyd says that Warp 1.0, aka the terminal, was the foundation for supporting this workflow, because being a terminal allowed it access to proper context for working across projects and tasks. However, where it fell short was its lack of primitives for managing multiple agents, controlling their permissions, and giving them m...

Overture Maps launches GERS, a system of unique IDs for global geospatial entities

The Overture Maps Foundation today announced the launch of its Global Entity Reference System (GERS), which assigns a unique ID to geospatial entities, including 2.6 billion buildings, 61 million places, 321 million road segments, and almost 447 million addresses.  The system will allow developers to more easily join datasets, share information, and onboard new data, without the complexity of trying to conflate different sources of data that may have different names for the same geospatial entity.   According to Marc Prioleau, executive director of the Overture Maps Foundation, an explosion in mapping data has led to an increase in expectations as well, such as people wanting real-time traffic conditions on their route or to know what specific lane of a road to be in.  “What that means is now you’re pulling together data not just from a single data supplier, but more like a dozen or 20 suppliers, and you’re trying to conflate all that data to the same thing,” said...

Agent Mode for Gemini added to Android Studio

The Android development team has announced the addition of Agent Mode for Gemini in Android Studio.  With Agent Mode, a developer can describe a complex goal, then the agent will come up with an execution plan and then complete the tasks.  Examples of tasks Agent Mode can tackle include building a project and fixing errors, extracting hardcoded strings and migrating them to strings.xml, adding support for dark mode to an app, and implementing a new screen in an app from a screenshot.  Developers will have the ability to review, accept, or reject any of the agent’s proposed changes, or ask it to iterate on their feedback. There is also an auto-approve feature that can be enabled for situations when a developer wants to iterate quickly on ideas.  The default Gemini model has a no-cost daily quota with a limited context window, or a developer can add their Gemini API key to significantly expand the context window.  Agent Mode also supports MCP so that the agen...

Google’s Agent2Agent protocol finds new home at the Linux Foundation

At the Open Source Summit North America, it was announced that Google donated its Agent2Agent (A2A) protocol to the Linux Foundation. The A2A protocol offers a standard way for connecting agents to each other. In this way, it complements Anthropic’s Model Context Protocol (MCP) , which provides a way to connect agents to different data sources and applications. “Drawing on Google’s internal expertise in scaling agentic systems, we designed the A2A protocol to address the challenges we identified in deploying large-scale, multi-agent systems for our customers. A2A empowers developers to build agents capable of connecting with any other agent built using the protocol and offers users the flexibility to combine agents from various providers,” Google wrote in a blog post when it first launched A2A in April.  When it was first announced, Google revealed that there were over 50 partners contributing to the project, including Atlassian, Cohere, Datadog, Deloitte, Elastic, Oracle, a...

TuxCare now offers end of life support for .NET 6

The Linux-focused security company TuxCare is attempting to alleviate issues caused by .NET 6.0 end of life — which happened in November — by offering its Endless Lifecycle Support for .NET solution.  Available for both Windows and Linux, the new offering will enable development teams to keep working with .NET 6.0 in a secure and stable way. It supports .NET components such as .NET Installer, ASP.NET Core Runtime, .NET Runtime, .NET SDK, and WPF and Windows Forms.  Beyond continuing to provide security fixes for .NET 6.0, TuxCare’s new offering also helps development teams avoid code refactoring, maintain stability, and avoid rushed decisions around end of life software. Endless Lifecycle Support for .NET comes with 14-day SLAs for security fixes and also provides detailed SBOMs for every library.  “Bringing our open source security expertise into .NET for both Windows and Linux, ELS for .NET 6.0 illustrates our long-term commitment to enabling the use of legacy sys...

ChatGPT now allows users to set recurring reminders

OpenAI is revealing a beta for a new feature in ChatGPT that enables users to set up one-time or recurring reminders within conversations.  A demo created by OpenAI shows a user chatting with ChatGPT about exercises, and then asking “Can you remind me to work out every day at 2pm and pump me up with a motivational speech?” ChatGPT then creates a task and will send the user notifications at the specified time. According to OpenAI, some other useful reminder tasks include setting a reminder that your passport expires six months from today, getting a daily weather report at 7 am everyday, or getting a list every Friday of things to do over the weekend based on location and the weather forecast.  ChatGPT can also suggest tasks based on conversations, and the user can choose whether or not to accept those suggestions.  To use this new feature, users will need to have “4o with scheduled tasks” chosen in the model picker, and from there they can ask to set reminders in natur...

Biden signs Executive Order for building out AI infrastructure

President Biden today signed an Executive Order to facilitate building the infrastructure needed for AI. Its goal is to enable the country to set up the necessary infrastructure for AI while balancing environmental concerns.  “We will not let America be out-built when it comes to the technology that will define the future, nor should we sacrifice critical environmental standards and our shared efforts to protect clean air and clean water,” the White House wrote in a press release .  The Executive Order directs agencies such as the Department of Defense (DOD) and Department of Energy (DOE) to make federal sites available for use by the private sector to build AI data centers and new clean power facilities.  RELATED CONTENT: Biden administration sets new rules for exporting AI chips According to the Biden Administration, building AI infrastructure within the country is crucial for ensuring national security, as it prevents foreign adversaries from accessing these AI s...

Biden administration sets new rules for exporting AI chips

The Biden administration today announced new rules regarding exportation of AI chips to 120 countries, according to reports from the Associated Press (AP) .  The NY Times clarified that the framework divides countries into three categories: The U.S. and its 18 closest allies (including  Britain, Canada, Germany, Japan, South Korea and Taiwan), countries already under a U.S. arms embargoes (like China and Russia) that will continue to face an existing ban on AI chip purchases, and all other countries, which would be subject to these new rules.  According to AP, under the new rules, the restricted countries would be able to purchase up to 50,000 GPUs. Government-to-government deals could increase the limit to 100,000 if a country’s renewable energy and security goals align with the U.S., and organizations in specific countries could also potentially apply for a status that enables them to buy up to 320,000 GPUs over two years. Additionally, chip orders equivalent to 1...

Red Hat Completes Acquisition of Neural Magic to Fuel Optimized Generative AI Innovation Across the Hybrid Cloud

Red Hat, Inc., the world’s leading provider of open source solutions, today announced that it has completed its acquisition of  Neural Magic , a pioneer in software and algorithms that accelerate generative AI (gen AI) inference workloads. With Neural Magic, Red Hat adds expertise in inference performance engineering and model optimization, helping further the company’s vision of high-performing AI workloads that directly map to unique customer use cases, wherever needed across the hybrid cloud. The large language models (LLMs) underpinning today’s gen AI use cases, while innovative, are often too expensive and resource-intensive for most organizations to use effectively. To address these challenges, Red Hat views smaller, optimized and open source-licensed models driven by open innovation across compute architectures and deployment environments as key to the future success of AI strategies. Neural Magic’s commitment to making optimized and efficient AI models a reality furthers ...

Testing AI voice applications: Three critical considerations for development teams

The artificial intelligence (AI) landscape is experiencing a transformative moment in voice technology. Anthropic’s recent release demonstrates breakthrough capabilities in natural conversation, with an enhanced ability to understand context and nuanced speech patterns. Meanwhile, OpenAI’s latest developments focus on more human-like voice synthesis and improved recognition across diverse accents and speaking styles. These advancements signal a shift from basic command-and-response systems to more sophisticated, context-aware voice interactions. As voice AI technology advances, integration into everyday applications has accelerated. The applications span countless industries, from healthcare systems requiring precise medical terminology recognition to financial services needing secure voice authentication. However, this rapid adoption brings new challenges for development teams, ensuring these systems work reliably and inclusively for all users. The complexity of human speech and the...

Linux Foundation forms new initiative to support development of Chromium-based projects

The Linux Foundation has launched the Supporters of Chromium-Based Browsers initiative in an effort to fund open development of projects within the Chromium ecosystem. The initiative will offer a neutral space for tech companies, academia, developers, and the open source community to come together and work on these projects. The Linux Foundation hopes it will also remove barriers to innovation, expand adoption, and provide resources to those projects.  According to the organization, Chromium projects will remain under their existing governance structures. Supporters of Chromium-Based Browsers will follow an open governance model and the Linux Foundation will also be working on forming a technical advisory committee to guide development of the initiative.  Several top tech companies have already pledged their support for this initiative, including Google, Meta, Microsoft, and Opera. Google is the primary developer and maintainer of Chromium, while Microsoft and Opera are a...

Several new Gemini features available in latest Android Studio release

The latest feature drop for Android Studio Ladybug is now available, adding in several new ways to interact with Gemini. Gemini Code Transforms can modify, optimize, or add code to an app by right-clicking in the editor and selecting the Gemini > Generate Code option or highlighting code and selecting Gemini > Transform Selected Code . Developers can describe the code they want to make and review the proposed changes before accepting them. “With Gemini Code Transforms, you can simplify complex code, perform specific code transformations, or even generate new functions. You can also refine the suggested code to iterate on the code suggestions with Gemini. It’s an AI coding assistant right in your editor, helping you write better code more efficiently,” Steven Jenkins, product manager of Android Studio, wrote in a blog post .  Other Gemini features added to the latest version of Android Studio include: Rename, which suggests appropriate names for single variables, classe...

CISA unveils new recommendations for developing secure software

CISA, the government agency tasked with securing the U.S.’ cyber and physical infrastructure, has released new Information Technology (IT) Sector-Specific Goals (SSGs) . According to the organization, the IT SSGs complement Cross-Sector Cybersecurity Performance Goals (CPGs) and offer “additional voluntary practices with high-impact security actions.” Organizations can use them to improve the security of their software development practices.  The list is broken down into goals for the process of software development and goals for product design.  The software development process goals include: Separate all environments used in software development Regularly log, monitor, and review trust relationships used for authorization and access across software development environments Enforce Multi-Factor Authentication (MFA) across software development environments Establish and enforce security requirements for software products used across software development environments ...

Code Intelligence launches AI test agent Spark

Software testing company Code Intelligence today announced Spark, an AI test agent that can identify bugs and vulnerabilities without human interaction. In its beta period, for instance, Spark found a vulnerability in WolfSSL where the only human involvement was running a single command to launch the agent. The agent handled analyzing the code, generating a test case, and running the test case all on its own.  “The uncovered real-world vulnerability proves that AI can effectively take over manual tasks in software testing, such as analyzing code, identifying the most likely attack vectors, generating and running tests, and can thereby yield great results,” said Eric Brueggemann, CEO of Code Intelligence.” With Spark, Code Intelligence hopes to fully automate software testing, from identifying bugs to remediating them. It believes its solution will lower the barrier to entry for advanced testing techniques.  According to Code Intelligence, Spark can save up to 1,000 hours...