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kong

Moving from Probabilistic Reasoning to Deterministic Execution

Jun 24, 2026 By Hugo Guerrero In Kong
Generative AI systems do not fail because models are weak. They fail because architectures are incomplete. Once organizations accept that prompts cannot guarantee reliability, a new challenge emerges: how to design systems that systematically convert successful AI behavior into repeatable, governable, and auditable workflows.
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ably

Agentic apps that go beyond chat

Jun 24, 2026 By Andrii Bulat In Ably
You are planning a trip with an AI assistant on your laptop. You are chatting with the agent, and as you progress it is dropping pins on a map, building a day-by-day itinerary, adding up a budget, and streaming its reasoning as it goes. The state of your interactive session is a combination of the chat history, the synthetic UI constructed by the agent during that process, and structured state, the itinerary, arising from the decisions you each make.
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ably

Introducing AI Transport v0.3.0

Jun 23, 2026 By Owen Pearson In Ably
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.
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ably

Nobody trusted our internal dashboards. Now they live in code

Jun 23, 2026 By Jamie Newcomb In Ably
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.
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kong

Why We Need to Stop Prompt Hacking

Jun 23, 2026 By Hugo Guerrero In Kong
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.
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kong

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

Jun 22, 2026 By Juhi Singh In Kong
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.
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ably

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

Jun 22, 2026 By Madeleine Quinn In Ably
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.
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nodesource

Blocking Install Scripts Is Not a Silver Bullet

Jun 19, 2026 By Ulises Gascon In NodeSource
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.
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Navigational Perception in Legal Information Environments

Navigational Perception in Legal Information Environments

Jun 19, 2026 By SystemsDigest In SystemsDigest
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.
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bugfender

What is SonarQube and how does it work?

Jun 18, 2026 By Aleix Ventayol In Bugfender
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.
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