Systems | Development | Analytics | API | Testing

Build agentic AI in minutes on Snowflake

Feb 13, 2026 By Hevo Data In Hevo
Agentic AI doesn’t have to mean months of architecture work, custom orchestration layers, or external platforms. In this hands-on workshop, you’ll build Snowflake Intelligence agents using native Snowflake capabilities to reason over structured data, retrieve context from unstructured sources, and execute multi-step analysis directly inside Snowflake within minutes.
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smartbear

Celebrating Datalex: Setting the standard for developer visibility in API-first development

Feb 13, 2026 By Abby Myers In SmartBear
At SmartBear, we recognize organizations that improve software quality by increasing clarity, alignment, and confidence across the development lifecycle with the Developer Visibility Award. For 2025, the award goes to Datalex, a leading airline e-commerce solutions provider. Datalex equips airlines with API-driven platforms that provide tools for driving revenue and profit as digital retailers.
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bugraptors

Siri 2.0 Delay: Testing Gaps That Just Cost Apple 6 Months

Feb 13, 2026 By Sandeep Vashisht In BugRaptors
The news dropped this week, and it sent shockwaves through the tech industry. Apple has officially pushed back the release of its highly anticipated Sir i 2.0. Reports from Bloomberg indicate that the update, originally slated for iOS 26.4, ran into severe hurdles during internal review. The culprit wasn't a lack of innovation or features. It was a failure in quality assurance.
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InsightSoftware

The Five Pillars of AI Compliance Excellence

Feb 13, 2026 By InsightSoftware In InsightSoftware
The AI revolution in finance is no longer a question of “if” but “how fast” and “how responsibly.” While our previous posts explored AI auditability frameworks, agentic workflows that transform finance operations, and building AI native Finance teams, today’s CFOs face an equally critical challenge: successfully navigating the complex and rapidly evolving landscape of AI compliance.
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Supercharge Retail Growth: Get Qlik & Snowflake's Expert Guide

Feb 13, 2026 By Qlik In Qlik
According to a recent report, 90% of retail leaders say they began experimenting with gen AI solutions and scaling priority use cases. Retailers are looking to update data systems and boost AI for risk, cost reduction, and growth need an all-encompassing approach — and that means efficiently blending AI and analytics into operations. Learn how to use data and AI to manage risk and drive growth for your organization, see how Qlik and Snowflake are making this happen today.
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xray

How Xray Connects Quality Across Teams

Feb 13, 2026 By Mariana Santos In Xray
Delivering high-quality software is not only about testing thoroughly. It is about connecting people, tools, and workflows so that quality becomes a shared goal. Developers, QA engineers, and product teams each play a role, but when their efforts are disconnected, quality suffers. When testing is isolated from development or requirements management, visibility disappears. Bugs slip through. Releases slow down. Product decisions become harder to validate.
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ably

Edit and delete messages without rewriting your history layer

Feb 13, 2026 By Faye McClenahan In Ably
Editing or removing a message after it’s been published sounds simple. In realtime systems, it usually isn’t. Once a message has been delivered to multiple clients, cached locally, and written into history, changing it safely becomes a coordination problem. Clients need to agree on what’s current. History needs to stay consistent. Reconnects and refreshes can’t bring back stale content. That’s why many systems treat messages as immutable by default.
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dreamfactory

AI Data Gateways & Data Governance: Scaling Trustworthy LLM Agents

Feb 13, 2026 By Terence Bennett In DreamFactory
As AI agents move from prototype to production, organizations face a growing paradox: how to give these agents enough access to unlock business value—without compromising privacy, compliance, or control. This isn’t just an integration problem. As soon as you map API layers or ask how a generative agent might retrieve sensitive customer records, the challenge becomes one of governance, scale, and trust.
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speedscale

DLP, Traffic Replay, and the Missing Link to Software Quality

Feb 12, 2026 By Matthew LeRay In Speedscale
In Part 1 and Part 2 we explored why testing modern software is so difficult. Production data is the most valuable input for testing, but it’s locked away because it contains PII and sensitive context. Traditional Synthetic Data Generation (SDG) was built for batch databases, not streaming systems. And AI coding agents amplify every weakness in existing test strategies because they need current, realistic data or they generate buggy code based on outdated assumptions.
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