Intro to Lit: A standards-based reactive library
Lit is an interesting option among front-end JavaScript frameworks for reactive programming. It’s caught quite a bit of interest from developers, but remains relatively under-the-radar compared to some other reactive frameworks. Lit is built on top ...
FluidCloud introduces ‘cloud cloning’ platform
Startup FluidCloud, described as a portable cloud infrastructure provider, has launched the FluidCloud Platform, a “cloud cloning” platform that lets users clone, migrate, restore, and optimize infrastructure across clouds in minutes, according to...
Teradata joins Snowflake, Databricks in expanding MCP ecosystem
Teradata has released its first Model Context Protocol (MCP) server, designed to enable enterprises to connect their agents to data stored within the data analytics provider’s databases, amid rising demand for agentic applications. The Teradata MCP ...
How to excel in multicloud: The new checklist
Several years ago, I wrote a multicloud readiness checklist and discussed the advantages of hybrid multicloud. Today, the vast majority of medium-sized businesses and large enterprises diversify with multiple hyperscalers, operate private clouds, depl...
Are cloud ops teams too reliant on AI?
The use of artificial intelligence to manage cloud operations has significantly changed how businesses design and oversee their IT systems. The consensus is that using AI for automation provides greater scalability, reliability, and consistency, as we...
12 coding agents at the cutting edge
A year ago, almost nobody had heard of coding agents, and if they did, it was in the context of technologies that didn’t yet work. What a difference a year makes. Today, coding agents are all around us, touching on every aspect of the software devel...
How agentic AI will change database management
Generative AI has already had a profound impact on the world of database management. In just a few short years, we’ve watched this technology simplify, accelerate, and automate an expanding list of essential aspects of database management—cleansin...
The importance of memory for AI
AI systems are the ultimate amnesiacs. Despite an impressive ability to generate text, code, music, and more, they’re limited by the prompt immediately in front of them. Ask ChatGPT about a recipe it recommended last week, and you’ll likely get a ...
JetBrains working on higher-abstraction programming language
JetBrains, creator of the popular Kotlin programming language, is developing a new programming language intended to make AI and code much more controllable and transparent. In a July 23 interview with InfoWorld, JetBrains CEO Kirill Skrygan elaborated...
What public cloud gets wrong with AI
AI is not cheap. During the past year, public cloud giants have significantly accelerated their investments in AI. By the close of 2024, Microsoft had invested more than $80 billion in AI infrastructure, partnerships, and development. AWS is on track ...
How to use Dapper Plus in .NET Core
Dapper—the open-source and lightweight “micro ORM” (object-relational mapper) I’ve written about often—supports many databases including SQL Server, MySQL, SQLite, SQL CE, and Firebird. You can use Dapper in your applications to simplify dat...
What you can do now with Python 3.14 RC1
Python 3.14’s first release candidate is here, and we’ve done a quick review of all the best new features. Also, four tips for making the best of Python’s now-fully-supported free-threading features, a first look at how Astral’s uv tool doub...
Google Labs announces Opal for developing AI mini apps
Google Labs has announced the public beta of Opal, an experimental tool for building AI mini apps by chaining together prompts, tools, and models, using natural language and visual editing. Currently available in the United States only, Opal was intro...
