InfoWorld

If you came up building software in the 1990s or early 2000s, you remember the visceral satisfaction of determinism. You wrote code. The compiler analyzed it, optimized it, and emitted precisely the machine instructions you expected. Same input, same output. Every single time. There was an engineering rigor to it that shaped how an entire generation of developers thought about building systems. T…

If you’re using Kubernetes , especially a managed version like Azure Kubernetes Service (AKS), you don’t need to think about the underlying hardware. All you need to do is build your application and it should run, its containers managed by the service’s orchestrator. At least that’s the theory. However, implementing a platform that abstracts your code from the servers and network that support it …

Most large enterprises run on deterministic software foundations. Business rules are embedded within workflows, state transitions are modeled explicitly and escalation paths are defined in advance. System behavior is specified in advance, making outcomes predictable. Meaningful scenarios are encoded as conditional branches and validated before release. For decades, this approach has delivered the…

This week in New York, my Oracle team ran workshops for enterprise developers on building retrieval-augmented generation and agentic applications. Interest was so strong that we quickly had to figure out how to double the room’s capacity (much to the fire marshal’s chagrin). Interest in AI was clearly off the charts. But AI fluency was not. It was a different vibe (and audience) from what we’ve s…

Salesforce first sought to tackle AI agent sprawl last year with Agent Fabric, a suite of capabilities and tools inside its MuleSoft AnyPoint Platform. Now, it’s seeking to further rein in unruly AI agents on its platform and those of other vendors too, with new governance tools and deterministic controls. When enterprises adopt multiple agentic AI products, they can end up redundant or siloed wo…

Salesforce is packaging its developer and AI tooling, including its vibe coding environment Agentforce Vibes, into a new platform named Headless 360, designed to help enterprise teams build agent-first workflows. The CRM software provider defines agent-first workflows as enterprise processes in which software agents, rather than human users, carry out tasks by directly invoking APIs, tools, and p…

With every passing year, local AI models get smaller, more efficient, and more comparable in power with their higher-end, cloud-hosted counterparts. You can run many of the same inference jobs on your own hardware, without needing an internet connection or even a particularly powerful GPU. The hard part has been standing up the infrastructure to do it. Applications like ComfyUI and LM Studio offe…

I am a completely self-taught software developer. I’ve never taken a computer science course in my life. I was lucky enough to attend a junior high school in the 1970s that taught me BASIC. I loved it, and used to stay after school to write and play simple text-based games. Now this may be hard to believe, but at that time, being a computer nerd wasn’t as cool as it is today, so I left it alone u…

In 2026, enterprise developers are building and deploying the first generation of powerful, increasingly autonomous AI agents at incredible speed. Now comes the hard part: working out how to secure them. Vendors in the space are facing multiple challenges. To begin with, traditional identity and access management (IAM) tools were never designed to secure anything as complex as agentic AI. In addi…

AI-aided development tools are churning out more lines of code than ever, presenting a challenge for reviewers who must review ever larger pull requests. After toying with the idea of closing the door to AI-aided code submissions , GitHub is now looking to help enterprises manage big code changes in a more incremental way. It says a new feature, Stacked PRs, can improve the speed and quality of c…

HTMX has been considered feature-complete for some time. It is a successful project that achieves its ambitious goals and is widely hailed, not to mention widely deployed in production. HTMX 2.0 was considered the final word. The creator promised there would be no HTMX 3.0. So of course, being developers, the HTMX team decided to rip out the engine and replace it with a new one based on JavaScrip…

Large cloud providers still want the market to believe that AI infrastructure is a premium business where customers pay premium prices. That argument worked when buyers had few alternatives, when access to advanced GPUs was restricted, and the operational maturity of the hyperscalers created an advantage that smaller competitors could not easily match. However, the market is rapidly changing, mak…

A new tool from Google Cloud aims to improve the accuracy of AI agents querying databases in multi-agent systems or applications. QueryData, which translates natural language into database queries with what the company claims is “near 100% accuracy,” is being pitched as an alternative to direct generation of queries by large language models ( LLMs ), which Google says can introduce inaccuracies d…

A critical pre-authentication remote code execution vulnerability in Marimo, an open-source Python notebook platform owned by AI cloud company CoreWeave, was exploited in the wild less than 10 hours after its public disclosure, according to the Sysdig Threat Research Team. The vulnerability, tracked as CVE-2026-39987 with a severity score of 9.3 out of 10, affects all Marimo versions before 0.23.…

The Google Agent Development Kit (ADK) is a flexible and modular open-source framework for developing and deploying AI agents. It is optimized for Gemini and the Google ecosystem, but the ADK is model-agnostic, deployment-agnostic, and built for compatibility with other frameworks. The ADK was designed to make agent development feel more like software development, to help developers create, deplo…