In the long arc of technology, Artificial General Intelligence may be looming somewhere beyond the horizon—faint, inevitable, and over-discussed. But in the enterprise—where risk is institutionalized and change moves at human speed—we are not ready to hand the keys to the machines. Not yet. For the next five years, the winning hand will not be …
The business world is on the cusp of a profound shift, moving away from the “data-driven” mantra to one that is “decision-centric,” powered by Decision Intelligence Platforms (DIPs). This emerging category, which recently saw its inaugural Magic Quadrant from Gartner signifies that the focus is shifting from simply analyzing data to actively augmenting and automating …
Once upon a time, the largest pain point facing most enterprise software developers was writing and testing code. Thanks to the generative and agentic AI capabilities that have become widespread over the past few years, however, the coding part of development work has become substantially easier. But here’s an equally pressing challenge for software developers …
Modern DevOps pipelines are extraordinarily fast. Teams can spin up infrastructure instantly and automate builds and deployments. Yet despite these speed gains in tooling, many organizations still face slow, unpredictable, and painful release processes. It isn’t the CI system that holds releases back. It isn’t a lack of automation skills or test cases. It’s something …
First of four parts Before we can understand how attackers exploit large language models, we need to understand how these models work. This first article in our four-part series on prompt injections establishes the foundation: what happens between typing your question and receiving an answer, and why that process creates security vulnerabilities that didn’t exist …
OpenAI today released the Codex app for Windows, powered by OpenAI’s frontier coding models, and it’s now the only coding agent with a first-class Windows experience. According to a 2025 survey from Stack Overflow, nearly 50% of developers use Windows for professional use and more than 55% use it for personal use. The Codex Windows …
Right now, there’s a massive opportunity hiding in plain sight for most engineering teams. While AI coding assistants have become standard equipment in software development, our first-party research shows that only 23% of those teams are actually extracting meaningful productivity gains from these tools. The remaining 77% have the same powerful technology at their disposal, …
The Model Context Protocol (MCP) was created to enable AI agents to connect to data and systems, and while there are a number of benefits to having a standard interface for connectivity, there are still issues to work out regarding privacy and security. Already there have been a number of incidents caused by MCP, such …
The rise of AI-infused applications, particularly those leveraging Large Language Models (LLMs), has introduced a major challenge to traditional software testing: non-determinism. Unlike conventional applications that produce fixed, predictable outputs, AI-based systems can generate varied, yet equally correct, responses for the same input. This unpredictability makes ensuring test reliability and stability a daunting task. A …
AI-generated code introduces a lot of risk into the development process. A recent Sonatype report found that AI hallucinated 27% of upgrade recommendations for open source projects, while research from Veracode found that AI introduced security vulnerabilities in 45% of 80 coding tasks across 100+ different LLMs. Now, new research from Black Duck is shedding …
Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow up into my older DirectML article. The DMLLib source is available here. VisualDML source and download is available here. Windows Store download here. …
In our DevOps-driven world of CI/CD pipelines and rapid deployments, it’s easy to assume that automation and now AI have made manual testing obsolete. But the reality is different. Manual testers still play a critical role in quality assurance, providing the kind of human insight and context-aware validation that automated tests can’t replicate. The challenge? …
Continuous Unit Testing in 2026 Applying Continuous Testing to Real Codebases Software development in 2026 moves at a pace that would have been difficult to imagine only a few years ago. Release cycles are short, refactoring is continuous, and AI-assisted development allows teams to produce more code than ever before. While this speed enables faster …
Most developers don’t wake up and say “I choose OpenJDK 11 because it’s my comfort runtime.” Let’s be real. If you’re still on 11 in 2025, it’s usually not because you want to be. It’s because something in your world – infrastructure, vendor certifications, enterprise requirements, internal politics, migration risk, budget constraints – is holding you …
Join the premier event series to uncover the latest in AI in Test trends related to MCP, Agents, and AI driven automation. Speakers will present solutions you to learn how to deliver value for your organizations. …
Your engineering team is using AI coding tools, but when the CEO, CFO, or board asks, “What’s the actual ROI?”, you’re stuck between “It feels faster” and “I can’t actually prove it.” License counts are useless, and velocity metrics can’t isolate the AI variable. Join GitKraken’s VP of Engineering, Stasia Zamyshlyaeva, as she shares her …
LIVE: Thursday, Nov 20 2025 @ 1PM ET As AI agents become increasingly capable, we’re stepping into a new era where a single agent may not hold all the domain knowledge needed for a complex task. That’s where Agent-to-Agent (A2A) collaboration comes in, which is agents reaching out to other agents, sharing abilities, and combining strengths. …
When tests scale to thousands, who’s in charge? In this session, we’ll explore six breakthrough areas where artificial intelligence now leads in QA—where AI doesn’t just assist, it performs. These advances represent not incremental improvement but a paradigm shift. QA has entered the generative era, where AI models can reason about user flows, infer data relationships, and produce …
Not sure how QA survives the AI wave? This session gives you a practical playbook. AI platforms that generate, execute, and heal tests are already running thousands of tests in hours – and that means the old tester-as-scripter playbook is obsolete. This webinar shows QA leaders and senior testers how to move from being automated-out …
Join Kevin Surace in this SD Times Live! Microwebinar series with Appvance. Learn how plain-language requirements can be turned into test cases, automatically converted into executable scripts, and more. …
Join the premier event series to uncover the latest in AI in Test trends related to MCP, Agents, and AI driven automation. Speakers will present solutions you to learn how to deliver value for your organizations. …
Your engineering team is using AI coding tools, but when the CEO, CFO, or board asks, “What’s the actual ROI?”, you’re stuck between “It feels faster” and “I can’t actually prove it.” License counts are useless, and velocity metrics can’t isolate the AI variable. Join GitKraken’s VP of Engineering, Stasia Zamyshlyaeva, as she shares her …
LIVE: Thursday, Nov 20 2025 @ 1PM ET As AI agents become increasingly capable, we’re stepping into a new era where a single agent may not hold all the domain knowledge needed for a complex task. That’s where Agent-to-Agent (A2A) collaboration comes in, which is agents reaching out to other agents, sharing abilities, and combining strengths. …
When tests scale to thousands, who’s in charge? In this session, we’ll explore six breakthrough areas where artificial intelligence now leads in QA—where AI doesn’t just assist, it performs. These advances represent not incremental improvement but a paradigm shift. QA has entered the generative era, where AI models can reason about user flows, infer data relationships, and produce …
Not sure how QA survives the AI wave? This session gives you a practical playbook. AI platforms that generate, execute, and heal tests are already running thousands of tests in hours – and that means the old tester-as-scripter playbook is obsolete. This webinar shows QA leaders and senior testers how to move from being automated-out …
Join Kevin Surace in this SD Times Live! Microwebinar series with Appvance. Learn how plain-language requirements can be turned into test cases, automatically converted into executable scripts, and more. …
