InfoWorld

Oracle says its new Trusted Answer Search can deliver reliable results at scale in the enterprise by scouring a governed set of approved documents using vector search instead of large language models (LLMs) and retrieval-augmented generation (RAG). Available for download or accessible through APIs, it works by having enterprises define a curated “search space” of approved reports, documents, or a…

In a recent article chronicling the history of Microsoft Azure and its intensifying woes , we see a narrative that has been building throughout the industry for years. As cloud computing evolved from a buzzword to the backbone of digital infrastructure, major providers like Microsoft, Amazon, and Google have had to make compromises. Their promises of near-perfect uptime shifted from an expectatio…

Transformative new Python features are coming in Python 3.15 . In addition to lazy imports and an immutable frozendict type, the new Python release will deliver significant improvements to the native JIT compiler and introduce a more explicit agenda for how Python will support WebAssembly . Top picks for Python readers on InfoWorld Speed-boost your Python programs with the new lazy imports featur…

Anthropic has today released a new, improved Claude model, Opus 4.7 , but has deliberately built it to be less capable than the highly-anticipated Claude Mythos. Anthropic calls Opus 4.7 a “notable improvement” over Opus 4.6, offering advanced software engineering capabilities and improved visioning, memory, instruction-following, and financial analysis. However, the yet-to-be-released (and inadv…

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…