🚀 Getting Started with Robot Framework – Key Concepts Every QE&A Engineer Should Know!! If you’re exploring automation testing, Robot Framework is one of the most beginner-friendly yet powerful tools out there. Here are some 🔑 concepts to get you started: ✅ Test Cases – Written in plain, human-readable style. ✅ Keywords – The building blocks (can be built-in, from libraries, or user-defined). ✅ Libraries – Extend capabilities (Web: Selenium, API: Requests, Mobile: Appium, DB testing, etc.). ✅ Variables – Reusable values (URL, credentials, configs). ✅ Test Suites – Organize your test cases by features/modules. ✅ Resource Files – Share keywords & variables across multiple suites. ✅ Tags – Categorize tests (smoke, regression, critical) for selective execution. ✅ Reports & Logs – Auto-generated, detailed HTML logs for easy debugging. ✨ The best part? Robot Framework makes automation collaborative, readable, and scalable—perfect for both beginners and experienced QA engineers. Have you tried using Robot Framework in your projects? What’s your favorite feature? 🤔 #RobotFramework #AutomationTesting #QA #Selenium #TestAutomation #Python
Getting Started with Robot Framework: Key Concepts for QE&A Engineers
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🚀 Automate Your Testing with Selenium & Robot Framework! 🤖 Boost your productivity and make testing a breeze with Selenium for web automation and Robot Framework for keyword-driven testing. Perfect for QA engineers, developers, and tech enthusiasts who want to streamline repetitive tasks, ensure bug-free releases, and scale automation effortlessly. ✨ Why Learn Them? Automate web browsers with ease using Selenium 🌐 Simplify test cases with Robot Framework’s readable syntax 📜 Save time and increase testing efficiency ⏱️ Ideal for continuous integration & agile environments ⚡ Start automating today and take your testing game to the next level! 💡 #Selenium #RobotFramework #AutomationTesting #QA #WebAutomation #TechTools #TestAutomation
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Day 98 : Myth: “Manual testers can’t transition to automation.” Fact: Most good automation engineers started in manual testing. I’ve mentored testers who thought automation was “only for coders.” The real blockers weren’t technical — they were mindset and mentorship gaps. Here’s what actually matters when making the shift: ⸻ ✅ Strengths manual testers already have: • Domain understanding • Edge-case thinking • Test design clarity • Curiosity about failures These are harder to teach than syntax. ⸻ ✅ What they need to add (not replace): 1. One programming language (Python/JS) 2. One framework (Robot, Pytest, Cypress) 3. Version control basics (Git) 4. CI/CD awareness Start with reading and modifying tests — not building frameworks from scratch. ⸻ ✅ Teams fail when: ❌ They throw testers into sprints without coaching ❌ They judge by “can you write code from Day 1?” ❌ They pair with developers who don’t understand test thinking ⸻ If someone can design great tests manually, automation is a skill expansion, not a career switch. Have you seen a successful transition in your team — or resistance? Follow for more reality-based QA insights. #SoftwareTesting #SDET #TestAutomation #CareerGrowth #RobotFramework #QualityEngineering
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🚀 Building a Robust Automation Framework The Big 3 Challenges & Best Practices Every QA Automation Engineer knows the journey: building a reliable foundation is crucial. The transition from manual testing requires engineering, not just scripting. The Big 3 Challenges: 💔 High Maintenance & Flakiness: Tests break easily due to minor UI/API changes, eroding trust in the suite. Fix: Adopt the Page Object Model (POM) / Service Layer. Separates the 'what' from the 'how'. 🏗️ Lack of Scalability & Reusability: Monolithic scripts with hard-coded data lead to slow development and rampant code duplication. Fix: Modular and Layered Architecture. Build new tests like LEGO bricks with reusable components. 🧪 Complex Data & Environment Mgmt: Difficulty managing test data and ensuring isolated parallel execution. Fix: Implement a Data-Driven Approach. Separate data into external sources (JSON, CSV, DB). 🛠️ Keys to Success: Documentation & Standards: Lowers the learning curve for new team members. Parallel Execution: Drastically cuts execution time for faster feedback. A successful framework is a well-engineered product, designed for longevity and collaboration. Let's build with the future in mind! #QAAutomation #TestAutomation #FrameworkDesign #BestPractices #Scalability
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⚙️ The Shift — From Selenium to Opal 🧩 Definition Traditional automation = imperative coding Opal automation = descriptive prompting 🔍 Analogy In Selenium, you explain each step. In Opal, you just describe the goal. 💡 Real-Time Example Old Way (Selenium): Setup WebDriver Define locators Handle exceptions Generate reports New Way (Opal): > “Run UI test summary for past 24 hours, analyze failures, and send summary via Gmail.” ⚙️ Usage Use when you want AI to orchestrate tasks across tools like Jenkins, Jira, Sheets, and Docs. ⏩ Shortcut Prompt writing = new framework building. Refining the sentence = debugging the logic. 💎 Tips & Tricks Don’t over-explain your prompt. Keep it goal-focused. Example: ✅ “Summarize login test failures.” ❌ “Open Jenkins, check build #45, read logs, etc.” 🧠 Memory Trick “In Selenium, you code the ‘How’. In Opal, you describe the ‘What’.” 🎯 Conclusion The new QA mindset → less syntax, more semantics. We’re not writing instructions. We’re defining outcomes.
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Turning Clicks into Code: Building Our Own Smart Test Recorder! Over the past few weeks, our team members John Asirvatham and Vignesh G have been experimenting with something truly exciting - A "Smart Test Recorder" that reimagines how automation scripts are created and executed. Instead of manually writing lengthy scripts, our tool captures real-time user interactions and instantly converts them into ready-to-run automation code. What We Built & Tested Locally ✅ Smart Recorder – Captures clicks, inputs, scrolls, and assertions during manual testing ✅ Script Generation – Automatically translates recorded actions into Selenium, Playwright, or Cypress scripts Real-Time Scenario ▶️ We tested our Smart Recorder using a practice web application from Test Automation Practice which is an excellent public demo site for automation learners and engineers. ▶️ The recorder currently captures fundamental UI interactions such as entering text into textboxes, button clicks, alert/confirm handling, and similar basic actions such as producing clear, structured step logs for each event. ▶️ The tool then generates a basic, executable Selenium test script and detailed test steps based on those recorded interactions. 💡 Note: The generated code is intended as a foundation script, it’s a starting point that teams can extend or customize to match their real-world test suites and edge cases. ▶️ Within seconds, it generated a fully executable Selenium test script and detailed Test Steps automatically! Seeing it work end-to-end locally was a huge milestone toward our vision of AI-driven automation. If you’re experimenting with AI + test automation or are open to collaboration, let’s connect. Would love to exchange ideas! #AITesting #Automation #SmartRecorder #Selenium #Playwright #Cypress #DevOps #TestingInnovation #QATools #TestAutomation #OpenAI #AIinTesting #sudoboat #sudoboattesting #technologytrends #aipoweredtesting #testingmadesimple
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Excited to share our hands-on experience building a Smart Test Recorder that captures real-time user actions and generates automation-ready scripts. A big step toward AI-driven testing!
Turning Clicks into Code: Building Our Own Smart Test Recorder! Over the past few weeks, our team members John Asirvatham and Vignesh G have been experimenting with something truly exciting - A "Smart Test Recorder" that reimagines how automation scripts are created and executed. Instead of manually writing lengthy scripts, our tool captures real-time user interactions and instantly converts them into ready-to-run automation code. What We Built & Tested Locally ✅ Smart Recorder – Captures clicks, inputs, scrolls, and assertions during manual testing ✅ Script Generation – Automatically translates recorded actions into Selenium, Playwright, or Cypress scripts Real-Time Scenario ▶️ We tested our Smart Recorder using a practice web application from Test Automation Practice which is an excellent public demo site for automation learners and engineers. ▶️ The recorder currently captures fundamental UI interactions such as entering text into textboxes, button clicks, alert/confirm handling, and similar basic actions such as producing clear, structured step logs for each event. ▶️ The tool then generates a basic, executable Selenium test script and detailed test steps based on those recorded interactions. 💡 Note: The generated code is intended as a foundation script, it’s a starting point that teams can extend or customize to match their real-world test suites and edge cases. ▶️ Within seconds, it generated a fully executable Selenium test script and detailed Test Steps automatically! Seeing it work end-to-end locally was a huge milestone toward our vision of AI-driven automation. If you’re experimenting with AI + test automation or are open to collaboration, let’s connect. Would love to exchange ideas! #AITesting #Automation #SmartRecorder #Selenium #Playwright #Cypress #DevOps #TestingInnovation #QATools #TestAutomation #OpenAI #AIinTesting #sudoboat #sudoboattesting #technologytrends #aipoweredtesting #testingmadesimple
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🚀 “Automation means faster delivery — but APIs make it smarter.” Most testers start with UI automation. But the real power of testing begins when you understand API automation — the layer that connects everything. Last week, I was experimenting with Rest Assured and realized something simple but powerful 👇 You don’t need 100 lines of code to test an API. You just need: A solid Base URI setup, Dynamic token management, and Clean separation of requests & validations. That’s it — your framework becomes flexible, readable, and scalable. Here’s a simple yet effective pattern: given() .baseUri(BASE_URI) .header("Authorization", "Bearer " + token) .body(payload) .when() .post("/createUser") .then() .statusCode(201); The beauty of Rest Assured is that it brings clarity to your API tests — no unnecessary layers, just clear logic. 🎯 If you’re a QA enthusiast or student learning automation, start by testing small public APIs. Build confidence first — frameworks will follow naturally. ❤️ Save this post — it might come in handy when you start your API automation journey. #APITesting #RestAssured #TestAutomation #SoftwareTesting #QACommunity #Java #Learning
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🎯 ✨ Today’s Learning: Selenium Locators ✨ In Automation Testing, Locators are the heart of Selenium 💻 — they help us find and interact with elements on a web page effortlessly! 🌐 🔍 There are 8 types of Locators in Selenium: 1️⃣ By.id() → Finds element by unique ID 2️⃣ By.name() → Finds element by name attribute 3️⃣ By.className() → Finds element by class name 4️⃣ By.tagName() → Finds element by HTML tag 5️⃣ By.linkText() → Finds element by link text 6️⃣ By.partialLinkText() → Finds element by partial link text 7️⃣ By.cssSelector() → Finds element using CSS path 8️⃣ By.xpath() → Finds element using XPath expression 💡 Example: // Using ID locator driver.findElement(By.id("username")).sendKeys("Aishwarya"); // Using XPath locator driver.findElement(By.xpath("//button[@type='submit']")).click(); 💬 Key takeaway: Choosing the right locator = more stable, faster, and reliable test scripts! ⚡ 🚀 Every day a new concept, a new step towards becoming a better Automation Tester! 🌟 #Selenium #AutomationTesting #LearningJourney #WomenInTech #QA #TestingCommunity #SeleniumLocators
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𝘞𝘩𝘺 𝘠𝘖𝘜𝘙 Automation 𝘧𝘳𝘢𝘮𝘦𝘸𝘰𝘳𝘬 𝘸𝘪𝘭𝘭 𝘍𝘈𝘐𝘓 𝘪𝘯 6 𝘮𝘰𝘯𝘵𝘩𝘴 (𝘢𝘯𝘥 𝘩𝘰𝘸 𝘵𝘰 𝘧𝘪𝘹 𝘪𝘵) I just audited a $50M company's automation framework. Result? 73% of their tests were failing randomly. Their CTO asked me one question: "How did we go from 10 passing tests to complete chaos?" The Brutal Truth: 85% of Selenium Projects Die the Same Death Month 1: "Our automation is amazing!" Month 6: "Why does everything break when we deploy?" Here's what kills every framework (and the fix): 1️⃣ The "Everything in One Folder" Disaster ❌ Death pattern: UI, API, utils all mixed together ✅ Fix: Dedicated packages → UI, API, POJO, services separated Reality check: Good teams onboard new devs in 2 hours, not 2 weeks. 2️⃣ The "Hardcoded Hell" Problem ❌ Death pattern: URLs, data, timeouts scattered everywhere ✅ Fix: Environment property files + externalized test data Game changer: Switch DEV→QA→PROD with one command. 3️⃣ The "No POJO = No Scale" Trap ❌ Death pattern: Raw JSON strings, manual API payloads ✅ Fix: Request/Response POJOs + schema validation Impact: API tests become 10x more maintainable. 4️⃣ The "Debug Nightmare" Issue ❌ Death pattern: "Test failed" with zero context ✅ Fix: Extent Reports + screenshots + API logs Truth: Debug time drops from 2 hours → 5 minutes The Framework That Actually Scales I've built a production-ready structure that includes: 🏗️ Proper separation of UI/API/POJO layers 🔧 External configurations for all environments 📊 Rich reporting with screenshots & metrics 🚀 CI/CD ready with Docker & Jenkins support 🎯 BDD structure that business teams understand The Bottom Line: Stop building "quick automation scripts." Start building software systems that scale. Your framework should work at test #10 AND test #1000. Want the complete folder structure? 👇 Comment "𝑭𝑹𝑨𝑴𝑬𝑾𝑶𝑹𝑲" and I'll send it to your inbox! Found this helpful? Share with someone struggling with flaky tests! 🚀 -x-x- Full Stack QA & Automation Framework Course with Clearing SDET Coding Rounds: https://lnkd.in/g7tn6Uif #japneetsachdeva
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💥 “The Day Selenium Almost Defeated Me And What It Taught Me About Learning” During the early phase of my Selenium journey, I was stuck: Locators like xpath and css felt like an alien language. Handling dropdowns, alerts, and iframes seemed impossible. Writing scripts in Java for the first time was intimidating. Then it clicked frustration isn’t a roadblock, it’s a signal that you’re growing. Every confusion is a mini-mastery waiting to happen. Here’s what I learned during my initial stage and sharing those lessons for anyone starting automation: Start small — tackle one element, one action at a time. Celebrate tiny wins — each successful script builds confidence. Visualize the process — browser = executor, locators = addresses, actions = instructions. Consistency over intensity — short, regular practice beats rare marathon sessions. Frustration is fuel — the hardest moments teach the deepest lessons. 💡 Insight: Automation is not just about Selenium or frameworks it’s a mirror of how you approach learning challenges in your career. The patience, curiosity, and persistence you develop here will scale far beyond testing. 🔥 Reflection: What’s one skill that pushed you to your limits early on and ended up shaping the way you grow today? #Automation #Selenium #CareerGrowth #QA #SoftwareTesting #Mentorship #LearningJourney #Mindset
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