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InfoWorld

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Perplexity’s open-source tool to run trillion-parameter models without costly upgrades

14:45
Perplexity AI has released an open-source software tool that solves two expensive problems for enterprises running AI systems: being locked into a single cloud provider and the need to buy the latest hardware to run massive models. The tool, called TransferEngine, enables large language models to communicate across different cloud providers’ hardware at full speed. Companies can now run trillion-…

RCE in React Native CLI opens Dev Servers to attacks

13:51
A critical remote-code execution (RCE) flaw in the widely used @react-native-community/cli (and its server API) lets attackers run arbitrary OS commands via the Metro development server, the default JavaScript bundler for React Native. In essence, launching the development server through standard commands (eg, npm start or npx react-native start) could expose the machine to external attackers, be…

Google boosts Vertex AI Agent Builder with new observability and deployment tools

12:57
Google Cloud has updated its Vertex AI Agent Builder with new observability dashboards, faster build-and-deploy tools, and stronger governance controls, aiming to make it easier for developers to move AI agents from prototype to production at scale. The update adds an observability dashboard within the Agent Engine runtime to track token usage, latency, and error rates, along with a new evaluatio…

Databricks adds customizable evaluation tools to boost AI agent accuracy

12:57
Databricks is expanding the evaluation capabilities of its Agent Bricks interface with three new features that are expected to help enterprises improve the accuracy and reliability of AI agents. Agent Bricks , released in beta in June, is a generative AI-driven automated interface that streamlines agent development for enterprises and combines technologies developed by MosaicML, including TAO , t…

Developers don’t care about Kubernetes clusters

10:15
If you look at the Cloud Native Computing Foundation landscape it might seem cloud developers are a lucky bunch. There seems to be an existing tool for literally every part of the software development life cycle. This means that developers can focus on what they want (i.e., creating features) while everything else (e.g., continuous integration and deployment ) is already in place. Right? Not so f…

Microsoft steers Aspire to a polyglot future

10:15
Microsoft’s Aspire development framework has dropped .NET from its name and moved to a new website , as it is now becoming a general-purpose environment for building, testing, and deploying scalable cross-cloud applications . Aspire has already proven to be a powerful tool for quickly creating cloud-native C# code. Is it ready to support other pieces of the modern development stack? I’ve looked a…

Mozilla.ai releases universal interface to LLMs

23:38
Mozilla.ai, a company backed by the Mozilla Foundation, has released any-llm v1.0, an open-source Python library that provides a single interface to communicate with different large language model (LLM) providers. any-llm 1.0 was released November 4 and is available on GitHub . With any-llm, developers can use any model, cloud or local, without rewriting a stack every time. This means less boiler…

How multi-agent collaboration is redefining real-world problem solving

5.listopadu
When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, and solve problems together. Over the past year, MAC has begun to take practical shape, with applications in multiple real-world problems, including climate-adaptive agriculture, supply chain manageme…

AI and machine learning outside of Python

5.listopadu
Name a language used for machine learning and artificial intelligence . The first one that comes to mind is probably Python , and you wouldn’t be wrong for thinking that. But what about the other big-league programming languages? C++ is used to create many of the libraries Python draws on, so its presence in AI/ML is established. But what about Java , Rust , Go , and C#/.NET ? All have a major pr…

Some thoughts on AI and coding

5.listopadu
Holy cow, things are moving fast in the software business—ideas are coming like an oil gusher, and keeping up is a challenge. Here are a few observations, amazements, puzzlements, and prognostications regarding AI and software development that have occurred to me recently. Vibe coding for the win Vibe coding has come a long way in the six months since I first tried it . I recently picked up the s…

A fresh look at the Spring Framework

5.listopadu
The Spring Framework is possibly the most iconic software development framework of all time. It once suffered from a reputation of bloat, but it has long since shed that perception. In this article, we’ll take fresh look at Spring, including an overview of Spring Boot and how Spring handles standard application needs like persistence and security. You’ll also learn about newer features that moder…

JDK 26: The new features in Java 26

5.listopadu
Java Development Kit (JDK) 26, a planned update to standard Java due March 17, 2026, has gathered nine features so far. The latest slated for the release include ahead-of-time object caching , an eleventh incubation of the Vector API , second previews of lazy constants and cryptographic objects encodings , a sixth preview of structured concurrency , and warnings about uses of deep reflection to m…

Agentic AI is complex, not complicated

4.listopadu
There’s a lot of interest in and concern around the use of AI agents . For organizations grappling with whether and how to use agentic AI, I recommend considering the model from the perspective of complex—rather than complicated—systems. Indeed, accepting the fact that agentic AI is complex rather than complicated will be key to harnessing its power and applying necessary protections and controls…

10 top devops practices no one is talking about

4.listopadu
When asked about their top devops practices , IT leaders often cite version control , automating deployments with CI/CD pipelines , and deploying with infrastructure as code . But many other devops practices are worth considering for organizations that want to improve the frequency, reliability, and security of software deployments. Over time, I have amassed a list of 40 devops practices that enc…

What is vibe coding? AI writes the code so developers can think big

4.listopadu
Why is vibe coding is called vibe coding? Vibe coding is a methodology in software development where the traditional act of writing code gives way to conversational instructions and collaboration with a generative AI tool. Rather than outlining detailed specifications and handing them off to engineers, product managers, domain experts — or anyone with an idea — can describe what they want in plai…
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