TestDino

If your Playwright tests keep breaking, it usually points to a 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗶𝘀𝘀𝘂𝗲, not Playwright itself. Many flaky tests stem from common pitfalls like 𝗿𝗮𝗰𝗲 𝗰𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝘀 where you try clicking before an element is ready 🕑. Hardcoded waits cause unnecessary delays or premature actions because they're not adaptive ⏳. Fragile selectors break easily with UI changes 🎭, missing error handling lets failures slip by unnoticed 🚫, and poor test isolation causes tests to share state unpredictably 🔄. To fix these, 𝘀𝗺𝗮𝗿𝘁𝗹𝘆 𝘄𝗮𝗶𝘁 𝗳𝗼𝗿 𝗲𝗹𝗲𝗺𝗲𝗻𝘁𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝗮𝗰𝘁𝗶𝗻𝗴 👀, use 𝘀𝘁𝗮𝗯𝗹𝗲 𝘀𝗲𝗹𝗲𝗰𝘁𝗼𝗿𝘀 𝗹𝗶𝗸𝗲 𝗿𝗼𝗹𝗲𝘀 𝗶𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗯𝗿𝗶𝘁𝘁𝗹𝗲 𝗖𝗦𝗦 𝗽𝗮𝘁𝗵𝘀 🔍, handle errors explicitly 🚨, and ensure each test runs fresh with proper cleanup 🧹. AI-powered tools now help with 𝗮𝘂𝘁𝗼-𝗵𝗲𝗮𝗹𝗶𝗻𝗴 𝘀𝗲𝗹𝗲𝗰𝘁𝗼𝗿𝘀 🤖, intelligent retries 🔄, and predictive debugging 🕵️♂️, boosting stability and saving time ⏱️. A quick win is ditching all 𝘄𝗮𝗶𝘁𝗙𝗼𝗿𝗧𝗶𝗺𝗲𝗼𝘂𝘁 calls and relying on Playwright’s 𝗮𝘂𝘁𝗼-𝘄𝗮𝗶𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗮𝘀𝘀𝗲𝗿𝘁𝗶𝗼𝗻𝘀 ✅. Mastering async behavior and auto-waiting transforms flaky suites into reliable tests 💪. What are your favorite strategies for keeping tests stable? Share your tips! #Playwright #QAEngineering #TestAutomation #DevOps #CICD

A2. Flaky tests breaking your CI pipeline? Your team's stuck debugging the same failures, running tests 3× just to see green ✅, and burning hours on "works on my machine" mysteries. There's a 3-level framework that fixes this. Read the full guide to know👇 #Playwright #TestAutomation #QAEngineering #CICD

Running Playwright tests on localhost with MCP ? SSL errors can interrupt your automation flow. Use 𝗵𝘁𝘁𝗽 when possible, or configure agents to ignore self-signed certs to keep your “verify it works, use Playwright” prompts running smoothly. #Playwright #QAEngineering #TestAutomation #DevOps #CICD

"𝗘𝗹𝗲𝗺𝗲𝗻𝘁 𝗻𝗼𝘁 𝘃𝗶𝘀𝗶𝗯𝗹𝗲" error but your Playwright trace screenshot shows it right there, clear as day. Frustrating, right? This happens more in CI than locally because CI environments are slower. The timing gap between element detection and action execution widens, exposing race conditions you don't see on your fast local machine. 𝗧𝗵𝗿𝗲𝗲 𝗿𝗼𝗼𝘁 𝗰𝗮𝘂𝘀𝗲𝘀:  𝟭. 𝗛𝘆𝗱𝗿𝗮𝘁𝗶𝗼𝗻 𝗱𝗲𝗹𝗮𝘆𝘀 Frameworks re-render components after initial paint. The DOM element Playwright finds gets replaced milliseconds later. Common in React, Next.js, and Vue apps using SSR or SSG.  𝟮. 𝗜𝗻𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆 Visible ≠ Actionable. Playwright checks five conditions before acting. If your element is visible but still animating (not stable) or covered by a transparent overlay (doesn't receive events), the action fails. 𝟯. 𝗧𝗿𝗮𝗻𝘀𝗶𝗲𝗻𝘁 𝗼𝘃𝗲𝗿𝗹𝗮𝘆𝘀 Loading states, notifications, tooltips, or modal backdrops can briefly cover elements. By the time the trace captures the failure, the overlay is gone, making the element look fine. 𝗗𝗲𝗯𝘂𝗴 𝘀𝘁𝗲𝗽𝘀:  1. Check if element ID/class changes between renders  2. Look for CSS transitions or animations on the element or parent  3. Inspect z-index stack for overlapping elements  4. Use 𝗽𝗮𝗴𝗲.𝗽𝗮𝘂𝘀𝗲() in CI to catch live state 𝗣𝗿𝗲𝘃𝗲𝗻𝘁𝗶𝗼𝗻: Always add explicit visibility assertion before clicks: typescript 𝘢𝘸𝘢𝘪𝘵 𝘦𝘹𝘱𝘦𝘤𝘵(𝘭𝘰𝘤𝘢𝘵𝘰𝘳).𝘵𝘰𝘉𝘦𝘝𝘪𝘴𝘪𝘣𝘭𝘦(); 𝘢𝘸𝘢𝘪𝘵 𝘭𝘰𝘤𝘢𝘵𝘰𝘳.𝘤𝘭𝘪𝘤𝘬(); This ensures all actionability checks pass, not just element presence. 𝗣𝗿𝗼 𝘁𝗶𝗽: CI machines are typically 50-70% slower than local dev environments. If something works locally but fails in CI, it's almost always timing. 𝗪𝗵𝗮𝘁'𝘀 𝘁𝗵𝗲 𝘄𝗲𝗶𝗿𝗱𝗲𝘀𝘁 "𝗲𝗹𝗲𝗺𝗲𝗻𝘁 𝗻𝗼𝘁 𝘃𝗶𝘀𝗶𝗯𝗹𝗲" 𝗶𝘀𝘀𝘂𝗲 𝘆𝗼𝘂'𝘃𝗲 𝗱𝗲𝗯𝘂𝗴𝗴𝗲𝗱? #Playwright #QAEngineering #TestAutomation #DevOps #CICD

𝗗𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴 𝗣𝗹𝗮𝘆𝘄𝗿𝗶𝗴𝗵𝘁: "𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗡𝗼𝘁 𝗗𝗲𝗳𝗶𝗻𝗲𝗱" 𝗶𝗻 𝗜𝗳𝗿𝗮𝗺𝗲? 𝗛𝗲𝗿𝗲'𝘀 𝗪𝗵𝘆 (𝗮𝗻𝗱 𝗛𝗼𝘄 𝘁𝗼 𝗙𝗶𝘅 𝗜𝘁) Anyone automating multi-frame web UIs with Playwright will eventually run into this: You try to call a global JS function inside an iframe using 𝗳𝗿𝗮𝗺𝗲.𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗲, and bam!! you get : ❌ 𝗳𝗿𝗮𝗺𝗲.𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗲: 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗻𝗼𝘁 𝗱𝗲𝗳𝗶𝗻𝗲𝗱 This trips up a lot of teams (including mine). The root cause? 𝗦𝗰𝗼𝗽𝗲! 𝗳𝗿𝗮𝗺𝗲.𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗲 only has access to variables and functions assigned globally on the frame's window. So if your<𝘀𝗰𝗿𝗶𝗽𝘁> in the iframe defines a function locally, Playwright won't see it. 𝗛𝗼𝘄 𝘁𝗼 𝗙𝗶𝘅: ✅ 𝗘𝘅𝗽𝗹𝗶𝗰𝗶𝘁𝗹𝘆 𝗮𝘁𝘁𝗮𝗰𝗵 𝘆𝗼𝘂𝗿 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝘁𝗵𝗲 𝗳𝗿𝗮𝗺𝗲'𝘀 𝘄𝗶𝗻𝗱𝗼𝘄 𝗼𝗯𝗷𝗲𝗰𝘁. javascript // 𝘐𝘯𝘴𝘪𝘥𝘦 𝘵𝘩𝘦 𝘪𝘧𝘳𝘢𝘮𝘦 𝘏𝘛𝘔𝘓: 𝘸𝘪𝘯𝘥𝘰𝘸.𝘛𝘦𝘴𝘵𝘔𝘦 = 𝘧𝘶𝘯𝘤𝘵𝘪𝘰𝘯() {  𝘥𝘰𝘤𝘶𝘮𝘦𝘯𝘵.𝘨𝘦𝘵𝘌𝘭𝘦𝘮𝘦𝘯𝘵𝘉𝘺𝘐𝘥("𝘭𝘣𝘭𝘐𝘯𝘧𝘰").𝘪𝘯𝘯𝘦𝘳𝘏𝘛𝘔𝘓 = "𝘏𝘦𝘭𝘭𝘰 𝘵𝘩𝘦𝘳𝘦!"; 𝘸𝘪𝘯𝘥𝘰𝘸.𝘢𝘭𝘦𝘳𝘵("𝘛𝘦𝘴𝘵 𝘮𝘦"); }; 𝗡𝗼𝘄, 𝗳𝗿𝗼𝗺 𝘆𝗼𝘂𝗿 𝗣𝗹𝗮𝘆𝘄𝗿𝗶𝗴𝗵𝘁 𝘁𝗲𝘀𝘁: javascript 𝘤𝘰𝘯𝘴𝘵 𝘧𝘳𝘢𝘮𝘦 = 𝘱𝘢𝘨𝘦.𝘧𝘳𝘢𝘮𝘦({ 𝘶𝘳𝘭: /𝘴𝘶𝘣_𝘧𝘳𝘢𝘮𝘦\.𝘩𝘵𝘮𝘭/ }); 𝘢𝘸𝘢𝘪𝘵 𝘧𝘳𝘢𝘮𝘦.𝘦𝘷𝘢𝘭𝘶𝘢𝘵𝘦(() => 𝘸𝘪𝘯𝘥𝘰𝘸.𝘛𝘦𝘴𝘵𝘔𝘦()); ✅ Instantly resolves "not defined" errors, no more head-scratching over scope! 💬 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻: Have you hit unexpected context or scope bugs with Playwright's evaluate()? What's your favorite tip for reliable cross-frame automation? Drop your war stories and solutions below ⬇️ Let's help more teams automate faster and smarter! #Playwright #TestAutomation #WebAutomation #QA #JavaScript #TestingTips

A QA engineer posted in a Playwright forum : "𝗢𝘂𝗿 𝗖𝗜 𝗱𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗶𝘀 𝗸𝗶𝗹𝗹𝗶𝗻𝗴 𝘂𝘀. 𝗗𝗼𝘄𝗻𝗹𝗼𝗮𝗱, 𝗲𝘅𝘁𝗿𝗮𝗰𝘁, 𝘃𝗶𝗲𝘄 𝘁𝗿𝗮𝗰𝗲𝘀 𝗹𝗼𝗰𝗮𝗹𝗹𝘆. 𝗘𝘃𝗲𝗿𝘆 𝗦𝗶𝗻𝗴𝗹𝗲 𝗙𝗮𝗶𝗹𝘂𝗿𝗲." Some teams deploy HTML reports to Vercel and share links. Others use GitLab's artifact viewer. A few built custom dashboards. But everyone solving this problem did the same fundamental thing: they stopped downloading traces to debug them. The faster workflow : Test fails → notification with link → trace already loaded → start debugging No downloads. No extracts. 𝗡𝗼 "𝘄𝗵𝗲𝗿𝗲 𝗱𝗶𝗱 𝗜 𝘀𝗮𝘃𝗲 𝘁𝗵𝗮𝘁 𝗳𝗶𝗹𝗲?" Why this matters:  • 10-15 failures per day  • 15 minutes saved per failure  • 2.5 hours back daily for your team That's not optimization. That's survival at scale. 𝗧𝗵𝗲 "𝘄𝗼𝗿𝗸𝘀 𝗼𝗻 𝗺𝘆 𝗺𝗮𝗰𝗵𝗶𝗻𝗲" 𝗳𝗮𝗶𝗹𝘂𝗿𝗲𝘀? Easier to debug when you can actually see the CI environment execution immediately, with full context. Whether you're a new Playwright user or scaling to thousands of tests, this workflow shift is inevitable. Build it early or rebuild it later. What's blocking your team from instant trace viewing? #Playwright #TestAutomation #QualityEngineering #CICD #TestDino #Testing

A1. Your #Playwright team's downloading artifacts, switching between tools, and manually hunting for why tests failed, while the same flaky tests keep blocking your pipeline. Smart debugging with TestDino, unifies everything in one view: traces, screenshots, logs, history, and automatic flaky test detection 🚀 Read the full edition 👇 #PlaywrightTesting #TestDino #ContinuousIntegration #QualityEngineering

A helping hand for Playwright teams from TestDino as It is now live on Github Marketplace too.🤝 For all Playwright teams spending hours debugging test failures, hunting through scattered logs, and rerunning entire suites just to catch a few flaky tests, TestDino is here to save both time and efficiency. Available now on GitHub Marketplace now. https://lnkd.in/d-GHhQzy Reach out, if you need any workflow-related help at https://lnkd.in/d7aY2QZz #Playwright #GitHubMarketplace #TestAutomation #CICD #QAEngineering

How much time are retries adding to your pipeline? Which tests consistently run slow? Is it a Linux-specific issue or happening across all environments? Flaky and slow test detection with durations, pass rates by branch and OS, retry patterns, environment-specific failures, new versus known issues, speed tracking, and performance buckets that show what needs attention first. That's what our Analytics carries 📊 Whether you're debugging failures, explaining timelines, or optimizing costs, the data is there when you need it. Want to understand what your test data is telling you? DM us 💬 #Playwright #CICD #TestAutomation #QAEngineering #SoftwareTesting