Systems | Development | Analytics | API | Testing

Automated testing is essential for providing quality software in today's high-velocity development environments. So, Microsoft developed Playwright, an open-source framework for automating user interactions with web browsers. It is used for end-to-end testing of web applications. Playwright, Microsoft’s advanced end-to-end testing framework, has gained popularity among developers and QA teams because of its cross-browser capabilities and feature set.

A few years ago, if you asked someone to define “vibe data engineering,” you’d probably get a puzzled look. Today, it's a phrase that's beginning to surface in conversations across enterprise teams, especially among those who need data to work for them, not the other way around. It doesn’t mean writing the cleanest DAGs or orchestrating distributed clusters. It means making data work fluidly, simply, and on your terms. It means doing more with less, and doing it without code.

In the first part of our series, we explored how Kamal simplifies Docker-based deployments while providing a cloud-like developer experience. We covered the basics of containerizing Phoenix applications, configuring Kamal, managing secrets, and implementing a CI/CD pipeline for automated deployments.

Over the past few weeks, I’ve spoken with a number of leaders who are digesting Salesforce’s move to acquire Informatica and what it will mean for them. If you are doing the same, I get it. Informatica has been an established company but in recent years pushing customers to move to their cloud only platform, will this accelerate this in particular with their recent PowerCenter end-of-support news?

In 2025, AI-powered coding platforms have rapidly moved from "nice to have " to an important part of modern developers. The tools that caught everyone’s attention in these are Windsurf and Cursor. It is hard to choose between the Windsurf vs cursor – they are mostly similar. They are both IDEs (integrated development environments) which are mostly developed for the vibe coders, i.e. non non-coders who build apps for fun and work.

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Generative AI is transforming how businesses operate, with 74% of enterprises already deploying it in production by 2025. The technology offers measurable benefits like a 1.7x ROI and cost reductions of 26–31% in key areas like supply chain and customer operations. But with rapid adoption comes serious risks - data breaches, AI bias, and compliance issues are top concerns.

Choosing one over the other can come down to a few key differences. Let’s take a look at both to help you make an informed decision.

The digital landscape is changing. More and more, consumers are realising the importance of data privacy. This shift in mindset is something businesses must attune to if they hope to build strong relationships with their customers. The phasing out of third-party cookies by Google at the end of 2024 and global regulations like GDPR and CCPA tightening data collection mean companies that embed privacy as a core part of their operations have the most to gain.

In February 2024, Kong became the first API platform to launch a dedicated AI gateway, designed to bring production-grade performance, observability, and policy enforcement to GenAI workloads. At its core, Kong’s AI Gateway provides a universal API to enable platform teams to centrally secure and govern traffic to LLMs, AI agents, and MCP servers. Additionally, as AI adoption in your organization begins to skyrocket, so do AI usage costs.