Systems | Development | Analytics | API | Testing

katalon

Why AI-Generated Code Needs AI-Powered Testing: The Validation Gap Developers Are Missing

Apr 2, 2026 By Huyen Nguyen In Katalon
You have an AI coding assistant open. You describe a function in plain language, it generates 40 lines of clean, well-structured code in under ten seconds, you review it briefly, it looks right, and you ship it. That workflow is now routine for millions of developers. The speed is real. The output looks authoritative. The problem is that looking right and being right are not the same thing.
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qlik

The Agent Era Has a Data Problem. Qlik Solves It.

Apr 2, 2026 By Sam Pierson In Qlik
It’s clear that we are in the early innings of an unparalleled shift in how knowledge work gets done across the board. If you pull forward the changes we’ve already seen from teams who have adopted agents in software development and apply them to broader categories of knowledge work, you can see how these patterns will lead to a fundamental rethinking of the relationship and responsibilities between humans, software, and data.
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nodesource

Anthropic Accidentally Leaked Claude Code's Entire Source - Here's What Was Inside

Apr 2, 2026 By NodeSource In NodeSource
On March 31, 2026, security researcher Chaofan Shou noticed something odd: the complete source code of Claude Code — Anthropic's flagship AI coding CLI — was sitting in plain sight on the public npm registry. 512,000 lines of TypeScript. 59.8 MB of source maps. Everything. The irony? The code contains an "Undercover Mode" specifically built to prevent internal Anthropic secrets from leaking into public commits. They built a secrecy subsystem, then accidentally published everything.
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oril

From Executors to Strategic Partners: The Evolution of Software Vendors in the AI Era

Apr 2, 2026 By Zorian Fedoryga In ORIL
Artificial intelligence is transforming the global software industry. Some analysts refer to this shift as a “SaaS apocalypse,” with traditional software companies losing over a trillion dollars in market value. Historically, software vendors executed client visions by writing code. Now, as clients articulate their needs and AI generates code, the industry faces a critical question: What role remains for software vendors? This requires a fundamental shift.
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EP 67 | The "Wobbly" Nature of AI: Governing an Unpredictable Technology

Apr 1, 2026 By Cloudera, Inc. In Cloudera
AI governance is the Achilles heel of most enterprises. As organizations accelerate AI adoption, boardrooms face urgent questions about cybersecurity, compliance, resilience, and regulatory risk. In this episode of The AI Forecast, Paul Muller meets with Shoshana Rosenberg, author of “Practical AI Governance: Building a Program for Oversight and Strategy,” and creator of the Prism AI Governance Framework, about how leaders can build adaptable AI governance programs that strengthen their resilience to this susceptibility.
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ably

Multi-device AI session continuity: how cross-device conversation sync works

Apr 1, 2026 By Amber Dawson In Ably
You start a research task on your laptop, the network drops during a meeting, and when you open your phone to continue, the conversation is gone – you re-prompt, get partial duplicate results, and lose 30 minutes of work. The delivery layer dropped it. That's one of the most consistent problems teams hit when building AI applications. It's particularly acute in customer support, where a session belongs to the conversation - not to any single device, connection, or participant.
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dreamfactory

Multi-Database API Integration for AI Systems | DreamFactory

Apr 1, 2026 By Konnor Kurilla In DreamFactory
APIs are transforming how AI interacts with enterprise data. Instead of directly connecting AI to databases like MySQL, PostgreSQL, or MongoDB - which can lead to security risks, schema complexities, and high maintenance - APIs act as a secure middle layer. This approach simplifies data access, reduces risks, and ensures seamless integration with multiple databases.
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tricentis

Everything we announced at our Agentic Quality Engineering Platform launch

Mar 31, 2026 By Sarah Welsh In Tricentis
Over 1,000 people around the world tuned in as Tricentis CEO Kevin Thompson and VP of AI David Colwell unveiled our new integrated platform, followed by a live demo from Enterprise Solution Architect Matt Serpone. From our headquarters in Austin, Texas, we unveiled a unified solution designed to help enterprises treat quality as a coordinated system rather than a collection of disconnected tools.
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dreamfactory

Designing MCP Servers for Observability

Mar 31, 2026 By Kevin Hood In DreamFactory
Observability is the key to understanding and improving MCP servers. These servers connect AI agents to tools, but without visibility, issues like slow responses, errors, or security risks can go undetected. Observability helps track how agents interact with tools, pinpoint failures, and optimize performance.
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