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When writing Elixir, most developers quickly get familiar with IO.inspect as a quick way to see what's happening inside their code. But what many overlook is that IO.inspect is far more powerful than just a method that prints a variable to the console. In fact, with the right options and placement, IO.inspect can become a precise, highly targeted debugging tool, one that doesn't interrupt your program flow and works seamlessly with Elixir's functional pipelines.

Connect data from across all sources to see, understand, and predict every aspect of manufacturing operations and optimize decision making.

The promise of AI breaks down when testing focuses only on idealized inputs. Real users ask incomplete questions, switch languages mid-thread, or provide contradictory details that models must still handle.

Swift extensions are one of the most useful tools in iOS development, allowing us to add new functionality to existing types without subclassing or rewriting code. In this guide, we’ll break down how extensions work, why they matter, and how to use them effectively. You’ll learn: By the end, you’ll know how to use extensions to write cleaner, faster, and more maintainable Swift code.

Autonomous agents — AI-driven bots, virtual assistants, and task-specific automators — are quickly becoming part of everyday business operations. They promise speed, efficiency, and the ability to scale tasks across teams without human intervention. But there’s a new challenge emerging in this AI-driven workplace: AI agent sprawl.

When an automated test fails, the real work begins. You need to figure out what went wrong, where, and why. That’s where debugging in Selenium comes in. Whether you're dealing with a flaky test, a missing element, or a silent script timeout, debugging helps uncover the root cause. It’s not just a technical step. It’s a habit that shapes better test design and builds trust in your automation suite. Depending on how your tests are set up, there are many ways to debug them effectively.

Page titles may look simple, but they play a powerful role in UI testing. Every time you land on a web page, the browser title tells you where you are. That same logic applies to automation. With Selenium WebDriver, you can get the page title to confirm if your test is on the right screen. If you're trying to validate navigation, this ability to get title in Selenium helps confirm that the application behaves as expected. In this article, we’ll walk you through: Let’s get started.

AI agents aren’t futuristic abstractions. They’re focused, assistive tools that can plug into your existing test lifecycle today. From summarizing logs to drafting test cases and clustering defects, these agents reduce repetitive tasks without replacing your team. They're scoped, auditable, and easy to start small with, making them ideal for enterprise environments. The key is to treat agents as collaborators that accelerate insight, not as autonomous systems.

Traditional dashboards often show what happened but not why, causing a decision-making gap. The solution lies in adding contextual insights, made possible using tools such as gen AI and natural language query (NLQ), which empower business users to get plain-English explanations and ask their own questions, leading to greater confidence, agility, and business impact. Book a demo and try Yellowfin AI-assisted contextual insights for yourself.

It’s 2025, and fraudsters are no longer following yesterday’s rules. We’re seeing crypto scams, AI-driven phishing, and deepfake impersonations, making old-school manual detection look almost quaint. Let’s get real: financial crime is booming, and fast. Globally, fraud scams and bank schemes cost $485.6 billion in 2023 alone. In the U.S., consumers reported losing $12.5 billion to fraud in 2024, a 25% spike from 2023 (Federal Trade Commission).