Systems | Development | Analytics | API | Testing

Snowflake And AWS: Accelerating Enterprise Data And AI Adoption

Snowflake CEO Sridhar Ramaswamy chats with Amazon Web Services CEO Matt Garman on accelerating AI from pilot to production. Hear how the combination of Snowflake's AI Data Cloud and AWS's secure, global infrastructure and complementary AI services make it easier than ever for customers to make data-driven decisions and transform industries, from life sciences to e-commerce and beyond. Snowflake and AWS can help your entire organization efficiently transform, share and analyze data and with industry-specific solutions to further accelerate your business outcomes.

Introducing Qlik MCP Server - Coming Soon

AI is transformative, but it’s only as good as the data it can access and the means it has to unlock it. Qlik’s MCP server provides a full set of tools that allow external LLMs to tap into Qlik’s unique capabilities for data and analytics—so AI can take advantage of our data products foundation and analytics engine to deliver powerful insight and automate tasks and workflows. Register your interest and be one of the first to try Qlik’s new agentic AI capabilities.

JavaScript Date & Time Explained: Format, Parse & Use the Date Object (2025 Guide)

Learn how to use the JavaScript Date object, format dates correctly, handle timezones, and avoid common bugs with the Date and Time API. This 2025 guide covers parsing, formatting, new date formats, and everything developers need to work reliably with date and time in JavaScript. If you’ve ever seen a date shift by one day, hours changing unexpectedly, or confusing “Invalid Date” errors… this tutorial will finally make it all make sense.

AI can't replace YOU... yet #genai #softwarearchitecture #wso2

Even AI experts like Andrej Karpathy don’t let AI do the thinking for them. The rule? Manual First. If you let an algorithm do the first pass, you lose the nuance and "sense" that only a human brain can pick up. Don’t trade deep understanding for a shortcut. In this clip from EP18: Deep Work for Architects, Dr. Sanjiva Weerawarana explains why relying on AI summaries kills your ability to think deeply—and how to use tools without losing your edge.

AI Agents & MCP: The New Architecture of Scalable Test Automation

The domain of software quality engineering is undergoing an architectural transformation. The established paradigm of imperative, scripted test automation services, while foundational, is reaching its operational limits against the backdrop of exponentially complex, distributed systems. Frameworks like Selenium and Playwright, though powerful executors, are fundamentally script-followers, lacking the cognitive capabilities to adapt to dynamic UIs or reason about system-wide failures.

What is an AI Gateway? Key Benefits and Examples

Applications and systems using AI have exploded in popularity, with every company looking to integrate AI anywhere they can. This move toward AI-assisted and AI-powered products appears to be the future. However, early adoption is great, but gaps form quickly at scale. For example, in 2023 OWASP began to publish the OWASP Top 10 for LLM Applications (updated again in 2025), which outlined ten common security flaws found in LLM-based applications.

Now Available: AI Test Planner - Rainforest Crawls Your App to Deliver a Ready-to-Use Test Plan

Before you can test software, you need to know what to test. That’s where many QA teams stall out. They don’t have the right software testing tools for mapping the app, identifying user paths, and determining testing priorities. So, building a test plan can take days (or more) of manual work. It’s often slow, frustrating, and error-prone.

How to Build an Internal Chargeback Model for Your API and AI Usage Using Moesif

API and AI services now sit at the heart of modern products. However, the more we use them, the harder it seems to become to account for the budget. Launching an AI product often leads to massive end-of-period bills. This requires attributing costs to the key internal power users and consumption drivers. The challenge is identifying the departments, products, or projects responsible for the consumption, and the extent to which they contribute.