Systems | Development | Analytics | API | Testing

Introducing AI Transport v0.3.0

Last week we introduced AI Transport v0.2.0 and made one idea the centre of the design: the session is the channel. Every input, output, and lifecycle event for an AI conversation is just a message published to an Ably channel, which is what makes a session durable, multi-party, and resumable. In v0.3.0, we added first-class support for presence and LiveObjects to AI sessions, allowing you and your agent to see who's online and update shared state in real time.

Nobody trusted our internal dashboards. Now they live in code

We audited our skills library a few months ago and found twelve dashboards hiding in it. Not dashboards. Skills that built dashboards. Someone needed a view of some data, asked Claude to put it together, got a long HTML page out of it, and then wrapped the whole thing in a skill so others could run it again. Twelve times over, by different people, for different questions.

Why We Need to Stop Prompt Hacking

Generative AI has completely changed the landscape of enterprise automation, knowledge work and operational efficiency. In 2026, the question is no longer whether these models can perform complex tasks, but whether they can do so reliably enough for mission-critical systems. Despite the availability of sophisticated models and expansive context windows, technology leaders continue to face frustration. Organizations struggle to produce consistent and repeatable results.

From Kong Konnect to Insomnia: A Developer Workflow for Testing Gateway APIs

As API ecosystems grow, developers and platform teams often work in separate environments. Platform teams manage APIs, gateways, and governance centrally, while developers recreate those configurations locally for testing and debugging. Over time, this can lead to configuration drift, inconsistent workflows, and security gaps. The release introduces our first native Kong Konnect integration, allowing developers to discover, import, and test Gateway configurations directly from Konnect.

Vercel AI SDK in production: when DefaultChatTransport needs a session layer

You've built an AI chat app on the Vercel AI SDK. It works in development. The model responds, the stream comes through, and the UI updates cleanly. Then you ship to production, and the transport layer starts showing its edges. Most of these failures are quiet: things that work in demos and break in ways that are hard to pin down until you know where to look. They share a common cause: DefaultChatTransport is built for HTTP, and HTTP has structural properties that some production requirements exceed.

Blocking Install Scripts Is Not a Silver Bullet

npm v12 finally turns off automatic install scripts. That closes one door and leaves another wide open. I have spent years on the security side of the Node.js ecosystem, more recently as the primary contact for the OpenJS Foundation CNA, and now as the Node.js AI Security Engineer in Residence, a role supported by Alpha-Omega. Almost all of that work comes down to one question: can you trust the code you install? So I will say this plainly.

Navigational Perception in Legal Information Environments

Legal digital environments operate within a unique informational context where clarity, trust, and accessibility must coexist with complexity. Unlike many commercial websites that focus primarily on transactions or engagement, legal platforms often serve as information systems that help users understand unfamiliar situations, evaluate options, and make important decisions. To support this process, legal environments rely on layered information architecture, where content is organized into interconnected informational nodes.

What is SonarQube and how does it work?

SonarQube is a code quality and security platform that helps teams detect bugs, vulnerabilities, and maintainability issues early in development, using static code analysis rather than manual reviews. SonarQube fits directly into modern workflows, integrating with CI/CD pipelines and development environments to continuously verify code through quality gates, dashboards, and automated checks. And in this guide, we’ll give you.

WWDC 2026: Device Hub and what it means for CI/CD

At WWDC 2026, Apple shipped a long list of changes, and we covered the ones flying under the radar in our round-up of the less-reported announcements. One of them deserves a closer look on its own: the way Xcode 27 reshapes how developers manage devices and simulators. Xcode 27 ships with a new app called Device Hub, replacing Simulator.app found in older Xcodes. Device Hub is where both physical devices and simulators can be managed from now on.

The Hidden Cost of AI Testing: Stop Burning LLM Tokens in Your CI/CD Pipeline

AI testing against live LLM APIs can quietly drive massive token costs across development, QA, and CI/CD pipelines. Every test execution consumes real tokens—at production rates—creating hidden, variable costs that scale with your AI adoption. In this video, discover how leading enterprises are eliminating LLM token spend using service virtualization. Learn how BlazeMeter intercepts API calls, simulates realistic AI responses (completions, embeddings, and large payloads), and enables full-scale testing without invoking live models.