Clik here to view.
Angular v20 Advances Zoneless, Adds Support for AI Development
Angular version 20 released May 28, and it offers a slew of features, including improved debugging in Angular DevTools, the promotion of reactivity features to stable, and advancements in support for...
View ArticleClik here to view.
Deploying A Secure Enterprise Agentic AI: MCP + Agent2Agent
The introduction of LLMs, AI agents, and their evolving ecosystem of tooling like Model Context Protocol (MCP) has opened the doors to a variety of new use cases. Still, they present unique challenges...
View ArticleClik here to view.
What Are Large Action Models?
Operating a Windows program. Automating invoice reconciliation. Booking a flight and hotel. These are just a few tasks that a new class of large language models (LLMs) could enable for AI agents....
View ArticleClik here to view.
4 AI Implementation Tips That Most Companies Get Wrong
From the boardroom to the break room, AI is the hot topic of 2025. Yet somewhere between the executive vision and ground-level implementation, the transformative potential of AI gets diluted. While...
View ArticleClik here to view.
What Does AI Cost? No One Knows.
Why is it so difficult to get the engineering team to tell what AI tools cost? Well, it’s not really about cantankerous engineers. (Most of the time, it’s not.) It’s really about how different groups...
View ArticleClik here to view.
Bubble Launches ‘Vibe Code Killer’ Bridging AI, No-Code
No-code dev platform provider Bubble maintains that the future of software development will not involve choosing between AI-powered coding tools and traditional development — instead, it will combine...
View ArticleClik here to view.
Jellyfish Tracks AI Impact Across Four Major Coding Tools
Jellyfish, a software engineering intelligence platform provider, today expanded its integrations to support additional AI coding tools, as engineering team juggle multiple AI coding assistants in...
View ArticleClik here to view.
Using AI for Test Generation: Powerful Tool or Risky Shortcut?
AI is rapidly transforming software development, with AI-coding assistants now commonplace, offering everything from autocompletion to generating substantial code blocks. A particularly enticing...
View ArticleClik here to view.
AI Will Steal Developer Jobs (But Not How You Think)
Anthropic’s CEO has said that in three to six months, AI will be writing 90% of the code that software developers are in charge of. Keep in mind, he said this in March. While the timeline may be...
View ArticleClik here to view.
Cloud Native and Open Source Help Scale Agentic AI Workflows
Enterprise automation is increasingly leveraging intelligent agent workflows driven by AI, typically relying on large language models (LLMs) for these applications. While LLMs can address many...
View ArticleClik here to view.
Introduction to vLLM: A High-Performance LLM Serving Engine
The open source vLLM represents a milestone in large language model (LLM) serving technology, providing developers with a fast, flexible and production-ready inference engine. Initially developed in...
View ArticleClik here to view.
Why AI and SQL Go Together Like Peanut Butter and Jelly
Natural human language is the ideal interface for accessing data, and making it conversational is the ultimate goal. Advanced AI, powered by large language models (LLMs), excels at interpreting human...
View ArticleClik here to view.
GenAI and Flexible Consumption Models Reshape Hybrid Storage Infrastructure
The use of generative AI (GenAI) is growing at an unprecedented rate across various industries. Significant technical advances in AI models, computing power, and data, along with the benefits in...
View ArticleClik here to view.
Agentic Coding: How Google’s Jules Compares to Claude Code
After my successful use of Claude Code, I was keen to try other equivalent agentic large language model (LLM) tools that aren’t IDE-based. These have better ways to interact with a plan than staring...
View ArticleClik here to view.
Mary Meeker’s New AI Trends Report Makes the Case for Optimism
Historically, Mary Meeker‘s “Internet Trends” reports have been legendary. After a five-year hiatus, the VC/analyst has co-authored a remarkable new 340-page trends report on artificial intelligence —...
View ArticleClik here to view.
The Modern Observability Roundtable: AI, Rising Costs and OpenTelemetry
Is the term “observability” still productive? When it first entered common parlance around 2017, it was instructive in differentiating itself from traditional infrastructure and application...
View ArticleClik here to view.
How Organizations Can Cross the Operational Chasm
In today’s digital economy, operational resilience isn’t just important – it’s essential. The global IT outage on July 19 last year served as a stark reminder of how vulnerable digital operations can...
View ArticleClik here to view.
Startup Embeds AI Security Analysis in Dev Workflow
Kusari, a software supply chain security startup, has launched Kusari Inspector, an AI-powered tool that delivers security insights and go/no-go recommendations directly within GitHub pull requests....
View ArticleClik here to view.
The Model Context Protocol Security Reality Check
The Model Context Protocol (MCP) is quickly becoming a standard for AI agents and servers, defining how agents discover, authenticate to and invoke remote tools and services. But securing OAuth-based...
View ArticleClik here to view.
AI Browsers: Dia’s Chat-Based UI and the Future of the Web
The web browser has been the core app of the web for more than thirty years. Fundamentally, it hasn’t changed much over that time, but now it’s starting to be reimagined as an AI tool. Dia, a new web...
View Article