Systems | Development | Analytics | API | Testing

Console.log in TypeScript: A Complete Guide

console.log() in TypeScript allows us to print values to the browser console or terminal, so we can inspect our code while it runs. However, the workflow can take some getting used to: in most projects, TypeScript is compiled into JavaScript, which is then executed by a JavaScript runtime. Whether you’re debugging a React component, a Node.js script or a backend application, it’ll get easier once you’re familiar with these nuances.

How Cloudera AI Agents Automate Retail Product Onboarding

Retail merchandising teams spend countess manual hours evaluating new product submissions—crunching revenue models, analyzing sales cannibalization, and writing supplier rejection emails. Powered by *Cloudera AI agents* , this video demonstrates how retailers can transform that tedious, bottlenecked onboarding workflow into a seamless, automated process. As soon as a new product is submitted, autonomous background agents map it against existing inventory, evaluate growth risks, assess market saturation, and highlight specific low-performing SKUs to replace.

Catch bugs and UI issues automatically with QA agents | SmartBear BearQ

In this video, you’ll see how SmartBear BearQ's QA agents catch bugs, UI and UX issues, and accessibility gaps automatically as they explore or test your applications, zero test script writing necessary. Whenever the Explorer Agent investigates your app or the Tester Agent runs a test, the QA Lead Agent is watching in the background for anything that looks wrong. Each suspected issue arrives with a clear title, a description, expected versus actual behavior, steps to reproduce, and a link to the evidence that shows exactly when it was found.

What Are iOS App Clips? How They Work for iPhone Apps #iOSDevelopment #AppClips

What are iOS App Clips? They are lightweight versions of an iPhone app built for one specific action, such as ordering, paying, or booking. Users can open an App Clip from a link, QR code, NFC tag, Maps, or Messages. They can complete one useful action without searching the App Store, installing the full app, or going through a long signup and onboarding flow. App Clips reduce friction and give people a quick way to try an iOS product before downloading the complete app.

When AI Tests AI: Breaking the Recursive Trust Loop in Enterprise QA

Enterprise adoption of autonomous agentic workflows has shifted software quality engineering. Deterministic automated testing remains foundational for API behavior, schema validation, authorization, and data integrity. Dynamic, non-deterministic model outputs, however, require additional layers of verification. To manage scale, modern AI application testing increasingly relies on AI test AI workflows using LLM-as-a-judge setups.

The CMO Blueprint: Writer's Diego Lomanto On Navigating AI's Investment Frenzy

Diego Lomanto, Chief Marketing Officer at Writer, joins Snowflake CMO Denise Persson to discuss the current investment frenzy in AI and how to navigate the hype. Learn how understanding the technology cycle can help marketers identify real value and drive wealth creation. Discover Diego's unique career path from developer to CMO and how his background in technology and engineering shapes his approach to marketing. Gain insights into the societal impact of technology and the importance of reshaping and reforming to drive a better standard of living for humanity.

Stop Picking Sides in Enterprise AI

One message coming out of Dreamforce caught my attention: context is moving to the center of the enterprise AI conversation. Good. We’ve been arguing for a while that context is what turns AI from an impressive interface into something genuinely useful for the enterprise. Salesforce’s AIforce approach is about bringing its data, workflows, business logic, semantics, permissions, security, and governance into the places people increasingly want to work, including Claude and Slack.

Why Your AI Agent Is Only As Good As the Tools It Can Reach

Imagine hiring the sharpest analyst you have ever met. They know the industry cold. They reason like nobody else on the team. They write like a Nobel laureate. Then you realize you never gave them a badge, a laptop, or a login to the CRM. And a week later, nothing has shipped. Every task still routes back through you, because the analyst can think but can’t touch anything. You’ve just hired a very expensive conversation partner. That is most people's experience with AI agents today.

AI mobile testing: where AI actually removes work from mobile app test automation

Most mobile automation programs don't stall because a tool can't tap a button. They stall on everything around the tap: the setup before the first test, a device lab nobody can keep current, maintenance that grows faster than coverage, and the moment someone asks "are we ready to ship?" and nobody has a clean answer.