Bugged_But_Haapy

Exploratory Testing: A Complete Guide for QA in 2025 Automation is everywhere in 2025 — unit tests, CI gates, AI-assisted test generation, and automated regression suites. Still, there’s a kind of testing automation can’t replace: exploratory testing . Rooted in human curiosity, domain knowledge, and real-time thinking, exploratory testing finds the unexpected: the tiny UX friction that confuses users, the edge case logic that breaks under certain inputs, the combination of features that produces surprising behaviour. This guide explains what exploratory testing is, why it’s vital in 2025, how to run it effectively, and how to combine it with automation and observability so you deliver higher-quality software faster. 1. What Is Exploratory Testing? Exploratory testing is simultaneous test design, execution, and learning. Instead of following a fixed script step-by-step, testers explore the application, construct hypotheses, and adapt as they learn. It’s structur...

Manual Testing in Agile: Still Relevant in 2025? With the rise of automation, AI-powered tools, and DevOps pipelines, many wonder if manual testing is still relevant in 2025. The short answer: Yes . While automation dominates regression and repetitive tasks, manual testing continues to play a vital role in Agile methodologies — especially in exploratory, usability, and acceptance testing. In this blog, we’ll explore the significance of manual testing in Agile environments, where it fits alongside automation, and how QA professionals can maximize its value. 1. The Agile Landscape in 2025 Agile teams in 2025 deliver features faster than ever. Sprints average 1–2 weeks, and continuous delivery pipelines push code multiple times per day. In this context, automation ensures speed, but manual testing ensures quality from the user’s perspective . 2. Why Manual Testing Still Matters Exploratory Testing: Humans can discover unexpected behaviors automation scripts mis...

Human + AI = The Next Generation of QA Engineers Quality Assurance has always evolved with the software we build. We moved from purely manual checklists to automation frameworks, from sporadic releases to CI/CD pipelines, and now we’re stepping into an era where human judgment teams up with artificial intelligence . The result is not about fewer testers—it’s about stronger testers : professionals who wield AI to design smarter tests, predict failure patterns, reduce flaky noise, and measure quality where users actually feel it. Table of Contents Why Now: The Forces Reshaping QA The Human + AI Collaboration Model Five Case Studies: AI in Action AI Testing Tool Comparison (2025) Practical Workflows: From Idea to Pipeline New Metrics for an AI-First QA Practice Skills & Learning Path for Next-Gen QA Risks, Ethics & Guardrails Quick FAQs Conclusion & Action Checklist ...

🚀 How AI is Changing QA: A Tester’s Story You’ll Relate To 🚀 How AI is Changing QA: A Tester’s Story You’ll Relate To I still remember my early days in QA. Running the same regression suite again and again. Fixing broken Selenium locators every time the dev team changed a button name. Spending hours staring at logs to figure out if the failure was in the code, the environment, or just a flaky test. Sound familiar? 😅 That’s the reality many testers live in today. But here’s the twist: AI is quietly becoming the teammate we didn’t know we needed. Let me show you how. 1. 📝 Smarter Test Case Design — Without Guesswork Back in 2018, I worked on a retail app where checkout was always buggy. But our test cases treated checkout the same as other flows. Result? Production bugs. Now imagine AI analyzing production logs and telling you: 👉 “Hey, 70% of user complaints come ...

🔥 Test Cases Are Killing QA: Why It’s Time to Burn the Old Playbook Still writing test cases in 2025? Then congratulations — you’re not testing , you’re filling out digital forms to make your manager feel safe. The harsh truth? Test cases are the death of real testing. They’ve become a ritual — mindless, outdated, and dangerously overrated. ⚰️ Test Cases Were Useful — 10 Years Ago Sure, back in the Stone Age of Waterfall, test cases made sense: Massive specs No automation Months between releases But in today’s Agile, DevOps, AI-driven world , they’re a joke. We’re releasing weekly (or daily), and still documenting how to “click login” like it’s the 90s. “Expected Result: User is logged in.” Wow. Revolutionary. 🧨 The Ugly Truth No One Wants to Admit Test cases are written to check a box , not catch bugs. Most aren’t updated — ...

Let’s be honest: Software testing isn’t what those textbook diagrams or glossy presentations make it out to be. In the real world? It’s messy, high-pressure, fast-paced—and way underappreciated. If you're a tester, you're probably nodding already. If you're not, welcome to the backstage chaos of building quality products in 2025. 1️⃣ Agile Dreams vs. Reality “Just be agile!” they said… Agile promised collaboration and speed. But what did testers actually get? Rapid-fire sprints Constant scope creep Pressure to test and automate everything yesterday Zero time to think strategically You’re not just a tester anymore. You're a part-time developer, part-time DevOps, part-time therapist (for the app and your team). 😅 2️⃣ 100% Automation? Yeah... No. Automation is 🔥. But let’s be real—automation isn't magic. Scripts don’t understand business logic. They don’t notice awkward UX. They don’t stop and say, “Hmm, something feels off h...