InfoWorld

AI agents look brilliant in a demo because demos are friendly worlds. The data is curated, the tools behave, and nothing important changes while the agent is in mid-thought. Production is the opposite: data arrives late, facts conflict, permissions bite, APIs time out, and the underlying state changes constantly. That gap is why early “agents in production” often get scoped down to something safe…

The novel power of today’s AI is in its ability to deal with intent. This is a superpower, no doubt, but it creates a huge imperative for app developers: the need to map between the anything-is-possible large language model (LLM) and the strict capabilities of code. Unrestrained, LLM endpoints will let your user create unicorns and leprechauns while your back end can handle only purchase orders a…

Every year, we attend cloud conferences to hear about new features, services, ecosystem expansion, and announcements that promise to reshape enterprise IT. These innovations matter. However, if we step back and look at how most enterprises actually consume public cloud, for all practical purposes, the three big cloud providers are essentially the same where it counts most. This statement can make…

Google has introduced Agent Executor , an open source runtime aimed at helping enterprises run AI agents more reliably at scale, as attention shifts from building agent prototypes to managing the operational challenges of putting them into production. To address those production-related challenges, the runtime , according to the company, comes with capabilities that are geared towards supporting …

The backlash was inevitable. For the past year, Silicon Valley has been telling us that software development is on the verge of becoming a prompt-and-ship exercise. You know, just describe what you want and let an AI coding agent build it. Sure, maybe you could keep a few token senior engineers around to bless the output…or maybe not. I mean, Google’s Sundar Pichai says 75% of its new code is now…

Chinese AI startup DeepSeek has announced a steep price cut for its recently launched flagship AI model, V4-Pro. The company has reduced pricing for the model by 75%, just a month after unveiling the V4 generation, which includes V4 Pro and V4 Flash. Earlier, usage costs ranged from $0.0145 for one million tokens (cache hit) to $3.48 for one million output tokens. Following the revision, the V4 P…

As AI coding assistants accelerate software development, one OWASP-backed open-source project is arguing that dependency security tooling still arrives too late to be truly useful. CVE Lite CLI , a JavaScript and TypeScript dependency vulnerability scanner focused on local lockfile analysis, is positioning itself around a simple idea. Developers should see dependency risks while they are still wr…

There’s no denying the excitement around Model Context Protocol (MCP), an open protocol for connecting AI assistants with external data, tools, and APIs. Since its debut by Anthropic in late 2024, thousands of MCP servers have emerged for devops , cloud , and beyond. Now that developers have integrated MCP servers into applications, and they have been battle-tested, usage patterns are emerging. F…

I trust Claude Code . Back in March, I wrote about why I pity the developers who haven’t yet jumped on the agentic coding bandwagon. I also pity the developers just starting out, who will never quite understand the power that they now have at their fingertips. But most of all, I really pity the developers who refuse to use agentic development tools because they don’t trust AI agents. I understand…

The phrase “sovereign cloud” has become one of the most overused and least scrutinized terms in enterprise technology. It sounds reassuring, especially to governments, regulated industries, and any enterprise concerned about geopolitical instability. The promise is simple enough: keep data local, maintain operational control, and reduce dependence on foreign systems. The problem is that the reali…

Google is expanding the role of its CodeMender security agent from autonomous vulnerability remediation toward a larger agentic development ecosystem, signalling a broader push toward AI-driven AppSec. Months after introducing CodeMender, an AI-powered agent designed to autonomously identify and patch software vulnerabilities, Google is now integrating the technology into its expanding Agent Plat…

Salesforce appears to be on a mission to “decapitate” enterprise software. After unveiling headless commerce and headless applications, the company late on Wednesday extended the label to enterprise data management via Informatica, one of its more recent acquisitions, as part of its broader industry push to prepare enterprise systems for autonomous AI agents. While Salesforce has spent the past y…

Microsoft has open-sourced two new tools aimed at bringing AI safety checks much earlier into the agent development lifecycle. The tools, called Rampart and Clarity, were announced this week as part of Microsoft’s broader push to operationalize safety engineering for agentic AI. “We built these tools because we believe that AI safety has to become a continuous engineering discipline rather than a…

For the past few years, enterprise AI conversations have been dominated by optimism: bigger models, more pilots, faster automation. The prevailing assumption was simple — pick the right AI platform and progress would follow. Reality has been far less forgiving. Most IT leaders have discovered that production AI is significantly harder than early experimentation suggested. The real work begins not…

Forms are often the most state-heavy part of a front-end application. They capture user input, run validation logic, track interaction states, and coordinate how changes propagate through the UI. As forms grow larger, with multi-step workflows, conditional fields, and asynchronous validation, the amount of code required to keep everything synchronized increases quickly. Angular has introduced sev…