Systems | Development | Analytics | API | Testing

You run your test suite, and a test fails. You re-run it—now it passes. No code changes, just random failures. Annoying, right? But here’s the scary part: flaky tests don’t just waste time—they slowly break trust in your entire testing process. Flaky tests show inconsistent results across runs. They create unreliable outcomes, hurting test accuracy. These tests may report false positives or negatives. False negatives flag non-existent defects, wasting time.

Have you ever released a feature only to see it break spectacularly in production? If you’re a developer or an SDET (Software Development Engineer in Test), you’ve likely been there. That’s where Alpha and Beta Testing come in – your last line of defense before your users turn into bug reporters! But what exactly are Alpha and Beta tests? How do they differ? And why should you, as a developer or SDET, care about them?

Playwright is one of the best solutions if you’re looking for a modern, reliable, and efficient test automation framework. Designed for speed, stability, and ease of use, Playwright helps testers and developers write robust test scripts with minimal effort. Read this Playwright tutorial to learn about this framework, including how to set it up for writing and executing tests. Check the complete Playwright Tutorial video from our workshop.

According to McKinsey, AI-driven automation could add $4.4 trillion annually to the global economy—but only if these systems perform as intended. So how do we verify their capabilities? Testing goes beyond just bug-fixing. It’s about tests of creativity for the AI, a check for facts, and correct responses. Can it handle complex requests? Does that cut down because of harmful or misleading outputs? It's like teaching a super-smart (but sometimes clueless) assistant.

Atlassian is rolling out a new navigation system for Jira Cloud making it more consistent across all Atlassian products: Jira, Jira Product Discovery, Jira Service Management, and Confluence. The most impactful change is moving the top navigation bar to a vertical sidebar on the left, with the goal of simplifying, decluttering, and modernizing Jira’s navigation—while also making it easier for teams to work across Atlassian’s suite of products.

Microsoft Fabric combines data engineering, warehousing, real-time analytics, and BI into a single environment to help organizations streamline data workflows and derive insights from large, diverse datasets. For teams leveraging Fabric, data masking is an essential method for safeguarding sensitive data, ensuring compliance, and maintaining data quality throughout analytics pipelines.

In the rapidly evolving landscape of software development, QA teams never stop searching for means to optimize testing efficiency without losing precision. Playwright Model Context Protocol (MCP) has a new paradigm that is revolutionizing automated testing. Playwright MCP fills the gap between Large Language Models (LLMs) and test environments, naturalizing and simplifying QA automation. It is a paradigm shift in how testing is understood within the context of contemporary software development.

Software has become a core component of modern vehicles, so much that software defined vehicles (SDVs) are transforming the automotive market, bringing key features to the software rather than the hardware of the vehicle. But developing high-quality code for software defined vehicle architecture is challenging.