DEV Community: Alexi

What is Playwright and What are Its Key Features?

Alexi — Thu, 15 Oct 2026 10:43:56 +0000

Playwright is a Node.js library developed by Microsoft. It allows Chromium, Firefox, and WebKit automation through a unified API. Developers writing code in JavaScript can use these APIs to create new pages in the browser, navigate URLs, and interact with elements on the web page.

Let's break down some key features of Playwright:

Cross-browser testing support: Playwright supports testing on the Chromium, WebKit, and Firefox engines, which are used in browsers like Chrome, Edge, Firefox, Opera, and Safari.
Support for multiple programming languages: Playwright supports multiple programming languages, including JavaScript, TypeScript, Python, Java, and .NET, allowing you to choose the most suitable environment.
Convenient logging and video recording: Playwright offers an easy-to-use logging and video recording system. It also allows you to take full-page screenshots, simplifying the process of visual testing.
Interaction with multi-tasking websites: Playwright simulates real user interactions with multi-tasking websites, simplifying event handling in the browser.
No limitations on built-in test runner: Since Playwright is built on the architecture of modern browsers, it does not have the limitations typically associated with a built-in test runner.
New tabs: Unlike Cypress, for example, Playwright allows you to work with newly opened tabs and windows.

With its wide range of features, Playwright provides a comprehensive solution for web automation, making it an invaluable tool for developers and testers.

Testing with Cypress: What You Should Know

Alexi — Thu, 15 Oct 2026 10:41:01 +0000

Cypress isn't just another testing framework. It's an all-in-one solution designed specifically for the modern web. Unlike Selenium or WebDriver, Cypress runs directly in the browser using Node.js, which ensures faster test execution and easier debugging.

Advantages of Cypress:

Excellent Debugging Capabilities

The Cypress test runner lets you revert to any state of the application using snapshots, making it easy to see the error directly and all the steps that led to it. Access to Chrome Developer Tools (DevTools) is available, and all clicks are recorded.

Automatic Waiting

Cypress automatically waits for animations, page loads, or API responses, eliminating the need for manual delays or specific waiting conditions, resulting in more stable tests.

Tests Written in JavaScript

If you know JavaScript, writing tests in Cypress is quick and easy. This lowers the entry barrier for both testers and developers.

CI/CD Integration

Cypress easily integrates with popular CI/CD platforms, enabling automated test execution after every code change.

Cross-Browser Testing Support

You can run tests locally and in cloud environments on Chrome, Firefox, Edge, and Electron.

Open-Source

Cypress is a free tool with an active and growing community. It also offers paid advanced features through Cypress Cloud.

Disadvantages of Cypress:

No Access to New Tabs and Windows

Cypress doesn't allow working with multiple tabs or windows simultaneously, which may be an issue when testing web applications that rely heavily on these features.

Browser Support Limitations

Cypress supports only Chromium-based browsers (Chrome, Edge) and partially Firefox. Cypress is unsuitable if you need to test an app on Safari or Internet Explorer.

Frontend Testing Only

Cypress is designed for frontend testing and lacks capabilities for testing backend or complex integration scenarios.

Limited Mobile Device Support

Cypress offers limited mobile testing capabilities compared to other frameworks like Appium.

High Resource Consumption

Testing in a real browser requires considerable resources, which can slow down test execution, especially on lower-powered machines.

Due to these disadvantages, many users are turning to other frameworks like WebdriverIO or Playwright.

Why Developers Get Frustrated with Testers (And How to Fix It)

Alexi — Thu, 15 Oct 2026 10:37:53 +0000

The software development process is a team effort where it is important that each team member performs their role responsibly. However, sometimes, situations can lead to conflicts between testers and developers. Let's take a look at the main causes of such conflicts and how to avoid them:

Unclear bug reports

When bug reports are vague, lack clear steps to reproduce expected outcomes, or lack detailed information (like screenshots, videos, or logs), developers can feel frustrated or confused, causing release delays.

✔ Solution: Testers should provide detailed bug reports, including steps to reproduce, expected vs actual results, and any relevant supporting materials like logs or screenshots. Sometimes, a short video can help clarify complex issues.

Mislinked bug reports

A tester creates a bug report and links it to the current page/task they are testing, even though the bug is not related to it.

✔ Solution: A good practice is to link bug reports to the relevant test cases, and test cases to the corresponding User Story. This way, it's clear to which page the bug relates. If unsure, discuss it with your team lead or PO. If there’s no test case for the bug, it’s better to create one, link it to the relevant User Story, and add it to the regression list for re-testing before release.

Testing the system on the last day of the sprint

A tester tests the system on the last day of the sprint or the night before the release.

✔ Solution: If the tester had a week for regression but tested the night before the release, that’s irresponsible. The team lead should keep track of progress and ask for updates from testers ahead of time. However, sometimes bugs get found close to the release date, and the team must react quickly. It’s useful to have a Mitigation Risk Plan that outlines actions to take in such cases (overtime, release date adjustments, etc.).

A tester exaggerates a bug’s severity.

A tester exaggerates the severity of a bug, marking it as Critical or Blocker without clear reasons, and assigns it a high priority to ensure it’s fixed quickly instead of consulting the team lead or PO.

✔ Solution: The tester can assign severity, but the PO should set priority. In an ideal world, this works as expected. In practice, these responsibilities often fall on the tester. It’s best to clarify with the team leader, PO, or someone responsible for these tasks when in doubt.

A tester prioritizes design over functionality.

A tester focuses too much on design rather than functionality.

✔ Solution: It’s great when testers notice details like inconvenient button placement or weird font size, especially if they’re significant to the user experience. This usually happens with newcomers or people recently joining the team. Defining testing priorities and goals upfront is important to avoid such situations. For cosmetic bugs, maintain a separate document and share it with the team lead or PO.

The Real Cost of Poor Software Quality (And How to Prevent It)

Alexi — Thu, 15 Oct 2026 10:25:06 +0000

$2.41 trillion.

That's what poor software quality costs the US economy alone in 2022. Now imagine the global impact. And it's getting worse.

To put this in perspective: That's more than the GDP of most countries.

But here's what concerns me most; this isn't just about massive corporate failures making headlines. This is happening everywhere, every day, in ways most teams don't even track.

The Multiplier Effect Nobody Talks About

Here's the truth about bug costs:

The later you find a bug, the more it costs to fix it. A problem found at the beginning, like the requirements part, might cost just a few dollars to fix. But that same bug, if a customer spots it in the final version, could end up costing big money.

For every $1 spent resolving a bug post-launch, companies incur $30 in secondary costs, such as customer compensation and legal fees. That's not 3 x worse. That's 30x worse.

The Real-World Examples

These aren't theoretical costs. They're business-ending catastrophes:

Knight Capital (2012): The company lost $440 million in 45 minutes, its stock collapsed, and it was forced into an emergency bailout. Within a year, Knight Capital lost its independence and was sold, effectively ending the company as a standalone market player.

Optus Telecom (2023): A nationwide outage left millions without service, triggered regulatory scrutiny, and severely damaged public trust.

SolarWinds Hack (2020-2021): The breach exposed thousands of organizations, led to massive financial losses, lawsuits, and long-term reputational damage. SolarWinds became a defining example of a global-scale supply chain security failure.

The pattern? Poor quality doesn't just cost money. It destroys companies.

The AI Double-Edged Sword

Here's where it gets interesting and dangerous:

Up to 45% of companies say speed is the top priority from GenAI. Only 13% prioritize quality. Meanwhile, 90% say they trust AI to make critical decisions about software releases.

We're using AI to move faster while caring less about quality, then trusting that same AI to catch our mistakes.

AI is speeding up both creation and error propagation.

The question isn't whether AI will cause quality problems. It's how badly and how fast.

How To Actually Prevent This

The prevention framework that works:

1. Shift- Quality Left: Any effort spent on detecting bugs earlier saves potentially 100 times the cost of the fix had it been detected later.

2. Automate Smartly: Automated tests can be integrated into the development pipeline, catching bugs after each code change. This reduces the cost and effort needed to fix the bug.

3. Scrutinize Dependencies: Analyze and assess the quality of all third-party or open-source software components, monitor them closely during operation, apply patches in a timely fashion.

The Economic Reality

With up to 70% of digital transformations failing due to quality issues, proactive investment in prevention isn't optional.

The math is simple:

Option A: Invest in Quality

Comprehensive testing: 15-20% of development budget
Catch bugs early: $100/bug average cost
Prevent production disasters: Priceless

Option B: Skip Quality

"Save" 15-20% upfront
Fix bugs in production: $500-10,000/bug average cost
Risk catastrophic failure: Company-ending
Every dollar spent on prevention saves $100 in remediation.

The cost of poor software quality will continue to rise. This isn't an industry problem. It's YOUR problem. Because while we're debating testing budgets and arguing about velocity:

Users are abandoning broken software
Competitors are shipping quality products
Technical debt is compounding exponentially
Security vulnerabilities are growing

The cost of poor software quality is real, rising, and no longer something teams can afford to ignore.

The question isn't "Can we afford QA?" The question is: "Can we survive without it?"

The cost of software testing is not an expense. It's an investment in the success of your product and your company.

(Harmful) Automation: Can There Be Too Much?

Alexi — Thu, 15 Oct 2026 10:13:26 +0000

Automation simplifies repetitive tasks, optimizes processes, and speeds up product delivery. However, more automation ≠ better results or less work. It’s crucial to distinguish when automation is beneficial and when it can make things worse. Here are some key points to keep in mind.

First Things First:

To automate a process, you must fully understand it—this can be challenging for complex systems. Before implementing automation, ask yourself: why are we doing this?

Automation isn’t a "set it and forget it" solution. Processes require ongoing maintenance and updates, which can be time-consuming and expensive.

So, where do we draw the line between effective automation and automation for the sake of automation? Let’s find out.

When There’s Too Much Automation

Every company wants to be like Netflix, Amazon, or Google. Agile has proven more productive than waterfall methodologies, but going all-in on flexibility, DevOps, and automation can backfire.

Businesses eager to improve often overuse automation without first identifying which processes should actually be automated. The risk? Automating inefficiency or breaking existing workflows.

Best Practice: Automate Clearly Defined Processes

Avoid automating processes that:

❌ Require multiple decision points

❌ Are more expensive to handle with automation than manually

❌ Lack of a stable structure

Finding the Right Automation Balance

Not all processes should be automated. Here’s how to strike the right balance:

Start with pain points: Identify what’s slowing your team down. Does manual testing take up too much time?

Avoid over-automating DevOps: Automation should enhance flexibility, not create rigidity.

Leverage standards: Use DevOps tools and practices (e.g., Git for version control, Jenkins for CI/CD) to avoid reinventing the wheel.

Remember: What works for Google might not work for you. Tailor your automation strategy to your specific project needs.

Continuous Improvement

Automation isn’t a one-time effort. It requires ongoing evaluation and refinement:

Monitor results: Are your automated processes delivering the expected outcomes?

Iterate: If something isn’t working, fix it. If it’s working well, celebrate, and look for the next opportunity to automate.

UX & UI Testing with Checklists

Alexi — Thu, 15 Oct 2026 10:06:49 +0000

Usability testing is essential for creating intuitive and user-friendly products. But how do you ensure nothing is overlooked? The answer is Checklists.

A well-structured UX/UI testing checklist helps QA teams stay consistent, efficient and focused on delivering a seamless user experience.

Why Checklists Matter in Usability Testing

✅ Ensure all UI areas are tested

✅ Improve testing efficiency and consistency

✅ Provide clear documentation with testing results

✅ It can be used as basic documentation for product familiarization during onboarding.

What Are UX & UI in Usability Testing?

UI (User Interface): The design and features of the software, including buttons, colors, fonts, and layout — everything that makes the product visually appealing and user-friendly.

UX (User Experience): How easy and intuitive the software is to use. This includes navigation, responsiveness, animations, and error handling to ensure a smooth experience.

UX and UI define usability — how users interact with your product and how enjoyable the experience is.

UI Testing Checklist (high-level)

UX Testing Checklist (high-level)

Checklists are not just reminders — they’re your roadmap to better usability testing. They help teams stay on track, minimize human error, and deliver products users actually love.

AI Bias: Checkbox or Strategy?

Alexi — Thu, 15 Oct 2026 10:03:17 +0000

Running a biased test once doesn't make your AI ethical. It makes you feel like it is.

But here's what separates leaders from laggards:

❌ Checkbox Approach: Run bias tests once, file report, move on

✅ Strategic Approach: Embed fairness into the entire AI lifecycle

❌ Technical-Only: Focus solely on mathematical fairness metrics

✅ Holistic: Combine quantitative analysis with stakeholder feedback

❌ Reactive: Address bias after deployment issues arise

✅ Proactive: Design fairness constraints into model architecture

What's Actually Required for Ethical AI:

🔍 Pre-Deployment Testing

• Statistical parity analysis across demographic groups

• Equalized opportunity assessment for qualified candidates

• Intersectional bias evaluation (not just single characteristics)

📊 Continuous Monitoring

• Real-time metric tracking

• Automated alerts when bias thresholds are exceeded

• Feedback loop detection and mitigation

⚖️ Regulatory Compliance

• Sector-specific requirements (Equal Employment Opportunity Commission (EEOC), Federal Trade Commission (FTC))

• Documentation and transparency obligations

• Stakeholder engagement protocols

ROI in QA: How QA Helps Companies Earn More and Spend Less

Alexi — Thu, 15 Oct 2026 10:01:50 +0000

The ROI (Return on Investment) of Quality Assurance is often misunderstood as a mere cost reduction measure. However, its real value lies in revenue protection and operational efficiency. A well-organized QA process allows companies to earn more while spending less.

Where does the return come from?

— Starting testing early in the development lifecycle helps detect and fix errors much faster and cheaper than at later stages.

— Measure how many bugs reach end users, whether quality is maintained at high development speed, and whether defects are primarily discovered by QA or by customers.

— Automated tests can be integrated into the development pipeline, catching bugs after each code change. This reduces the cost needed to fix the bug.

Clear metrics tie quality to value. Here are some.

• Customer Retention and LTV: Customer lifetime value (LTV) directly reflects how effectively your product retains users. High software quality leads to lower churn rates and increased LTV.

• Post‑Release Defects: QA helps identify defects that may arise after the product is released.

• User Satisfaction and Brand Reputation Metrics: NPS (Net Promoter Score), CSAT (Customer Satisfaction Score), and customer feedback indicate how quality influences trust and referrals. QAs protect your money and how people see you / your name. It makes sure users either like your software or delete it completely.

Skipping QA might save a few hours today, but it can cost thousands or millions in extra hours for bug fixes tomorrow.

When businesses prioritize quality assurance, they:

Cut long-term costs
Reduce technical debt
Improve customer experience
Protect their brand reputation

Quality software performs reliably under various conditions, ensuring speed, stability, and scalability. This, in turn, wins user trust and drives long-term customer retention.

That's the ROI of quality.

Most Troublesome Mobile App Bugs to Avoid

Alexi — Thu, 15 Oct 2026 09:57:54 +0000

Mobile apps have become essential in our daily lives—helping us stay connected, productive, and entertained. But even the most well-designed apps can suffer from frustrating bugs that drive users away.

*Did you know? *
🔹 **70% **of users uninstall an app if it’s too slow.

🔹 **Only 25% **of apps are used more than once after download.

To prevent your app from becoming another statistic, let’s dive into the most troublesome mobile app bugs and how to avoid them.

1️⃣ Performance Issues

🚀 Problem: Slow loading, laggy UI, or high battery consumption.

✅ Solution:

Use performance testing tools like Xcode Instruments & Android Profiler.

Optimize code to reduce memory leaks.

Implement caching & real-time monitoring (Google Analytics, New Relic).

2️⃣ UI/UX Glitches

🎨 Problem: Overlapping elements, unresponsive buttons, broken layouts.

✅ Solution:

Test across multiple devices with different screen sizes to ensure responsiveness.

Conduct usability testing to identify pain points and suggest improvements.

Optimize touch responsiveness for smooth interactions.

3️⃣App Crashes

💥 Problem: The app shuts down unexpectedly—especially during payments or uploads.

✅ Solution:

Test on various OS versions & devices for compatibility.

Improve error handling to prevent unexpected failures.

Use crash reporting tools (Firebase Crashlytics, Sentry) for quick debugging.

4️⃣ Network Issues

📶 Problem: The app functions poorly on slow or unstable connections.

✅ Solution:

Add an offline mode to store critical data locally.

Optimize API calls (batch requests, data compression).

Test under different network conditions (Wi-Fi, 4G, 5G).

5️⃣ Mobile Feature Bugs

📍 Problem: GPS, camera, or push notifications don’t work properly.

✅ Solution: :

Ensure push notifications work across devices.

🔑Bugs are inevitable, but they don’t have to be catastrophic. You can build an app that users love by prioritizing performance, UI/UX, stability, network resilience, and core functionality.

What Does “Enough Testing” Really Mean?

Alexi — Thu, 15 Oct 2026 09:44:47 +0000

If you dive into testing literature, you’ll notice that many sources don’t clearly define how to know when testing is finished. The common assumption is: “Testing is done once all predefined tests have been executed.”

But in reality, new test ideas often emerge during testing. A short five-minute session might generate ten more minutes’ worth of valuable tests. So how do you know when to stop testing? How much testing is enough?

*🧩 Key Points: *

1. First step, define what “enough testing” means for your team

✔ Some teams only verify happy paths, “one requirement = one test”.

✔ Others dig deeper they explore edge cases, and combine automated and manual testing.

→ Most teams fall somewhere in between these two extremes.

2. Avoid the “less than it seems” trap

Test coverage may appear complete, but due to time constraints, testers often skip negative or boundary scenarios. This creates a false sense of confidence.

3. Avoid the “test everything” trap (a.k.a. the kitchen sink approach)

The opposite danger is trying to test every possible scenario. This overloads the team and infrastructure. Eventually, test suites grow so large that they can’t be executed or maintained effectively.

4. The smart approach — strike a balance

🟢 Focus on critical functionality first.

🟢 Align test priorities with your team and stakeholders.

🟢 Build a strategy that combines exploratory, acceptance, and regression testing. Best practice is to integrate automated regression into the CI/CD pipeline.

_✅ So, What Is “Enough Testing”? _

“Enough testing” isn’t about executing every possible check, it’s about building sufficient confidence to release, with a clear understanding of known risks and alignment across the team. Testing isn’t exhaustive — it’s intentional. It focuses on delivering the insights that matter, when they matter.

Here's how teams usually approach this decision:

1. Define the Release Readiness Criteria

Before testing even begins, teams should agree on what “done” means. That includes:

Critical bugs are fixed (no blockers or high-severity defects).

Smoke and regression test suites pass successfully. The number of minor defects does not exceed the agreed-upon acceptable limit.

2. Hold a Pre-release QA Sign-off Meeting

Before the release, the QA lead or QA team often initiates a release readiness checkpoint. This is a structured meeting or review where:

Test results and known issues are presented.

Risk areas are discussed openly.

Stakeholders align on the product quality status.

3. Accept That It's Subjective

Even with well-defined test cases and clear metrics, there will always be:

Known low-priority bugs.

Areas touched by recent changes that “feel” risky.

4. Final Decision is a Shared Call

Typically:

QA Lead gives a quality status summary — “Are we confident in this build?”

PM/PO evaluates the business impact — “Can we accept the remaining risks?”

The Engineering Lead might weigh in on technical stability or known issues

If the risks are known and acceptable, the release proceeds.

💡 Key Insight:

You’ll never test everything. But you can build enough confidence through strategy, collaboration, and shared accountability to say, “Yes, we’re ready to deploy a release.”

📌
“Enough testing” isn’t a fixed goal it’s the result of a deliberate balance between risk, feature importance, time, and available resources. And it has to be a shared decision across the team.

What Is Code Refactoring and Why Is It Important for QAs?

Alexi — Thu, 15 Oct 2026 09:39:02 +0000

Code refactoring is the process of editing and cleaning previously written code without changing its functionality.

The primary goal is to make the code more efficient and easier to maintain, avoiding "code rot," such as code duplication, numerous fixes, and inconsistent styles caused by different developers’ coding preferences.

How Does Code Refactoring Affect QAs Work?

Let’s examine its impact on manual and automation QA engineers.

Manual QA Engineers

Since the core logic of the software remains unchanged, manual testers focus on:

In-depth testing: Testing the product as an end user.

Regression testing: Ensuring updates haven’t broken or changed existing functionality.

Automation QA Engineers

For automation testers, refactoring is more challenging because it can break test scripts due to changes like:

Change in Element Locators: Old identifiers for elements may no longer exist, leading to test failures.

Technical changes in the codebase: Updates to the underlying application code, such as changes in APIs, DOM structures, or logic, can cause automated tests to fail. This requires testers to adapt scripts to align with the new system architecture.

Pros and Cons of Refactoring

When Should You Refactor Code?

The best time to refactor code is before adding updates or new features to the existing code. This makes future developers’ work easier.

The Rule of Three:

The first time you do something, you just do it.

The second time, you feel annoyed but repeat the process.

The third time, you begin refactoring.

Overdoing refactoring is as bad as not doing it at all. It’s crucial to find a balance and dedicate a few hours or days at the beginning or end of each sprint for incremental refactoring. You’ll be pleasantly surprised by its positive impact.

Why Use A/B Testing?

Alexi — Thu, 15 Oct 2026 09:26:58 +0000

A/B testing is essential for businesses looking to optimize their websites or mobile apps. Splitting your QAs into two or more groups allows you to test different versions of a webpage or feature to see which one performs better. This data-driven approach helps you make informed decisions, minimizing risks and maximizing conversions.

What is A/B Testing?

A/B testing (also known as bucket tests or split URL testing) is a method used to compare two or more variations of a webpage or app interface. It helps determine which version leads to better user engagement, higher click-through rates (CTR), and better conversion rates.

Why Use A/B Testing?

Identify user pain points: Users often leave websites due to confusing navigation, missing elements, or complex forms. A/B testing helps find and eliminate these issues, improving user experience and boosting conversions.

Reduce bounce rates: High bounce rates are often caused by issues like irrelevant content or poor design. Testing helps you find what works best to keep visitors on your page.

Low-risk modifications: A/B testing allows you to make small, incremental changes to your website or app rather than overhauling everything at once, helping to protect your current conversion rates.

Improve design choices: Redesigns can range from small text or color changes for CTA buttons to a complete website overhaul. Even after a redesign, it’s best to continue testing other elements to ensure you provide users with the most engaging and user-friendly version.

How to Run an A/B Test

1. Data collection: Analyze site data to understand user behavior—traffic, conversions, and bounce rates. Use tools like Google Analytics and heatmaps to identify problem areas.

2. Hypothesis formulation: Based on collected data, create hypotheses about what changes could improve conversions. For example, if data shows that a significant percentage of users abandon a form without completing it, consider testing a shorter form or removing unnecessary fields, particularly those asking for personal information.

3. Creating variations: Create alternative versions of your pages or elements based on your hypothesis. Test multiple variations to see which performs best.

4. Testing: A/B testing compares two versions of the same page, but you can also explore multivariate testing (MVT) for multiple changes

5. Analyzing Results: Once the test concludes, analyze the results considering metrics such as percentage increase, statistical significance, and direct and indirect impacts on other indicators. After testing, deploy the winning version. If the results are ambiguous, analyze them further and use the insights in future tests.

A/B testing is an excellent method for validating and implementing improvements on your website. While results can be unpredictable due to user behavior, A/B tests offer a low-risk way to experiment with bold ideas and optimize your website.