Cloudangles’ Post

👉 Struggling with flaky tests, messy frameworks, or scaling Appium automation? Most hybrid frameworks break when you try to combine UI + API + cross-platform testing at scale. 🚀 That’s where WebdriverIO changes the game—bringing structure, stability, and true end-to-end automation on top of Appium. From context switching → modular architecture → parallel execution, this infographic breaks down how WDIO solves real-world testing challenges engineers face daily. 💡 If you're building or scaling a mobile automation framework, this is worth a look. #TestAutomation #Appium #WebdriverIO #SDET #QA #AutomationFramework #MobileTesting #DevOps

𝗧𝗲𝘀𝘁𝗶𝗻𝗴 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝗶𝘀 𝗻𝗼𝘁 𝗹𝗶𝗸𝗲 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝗼𝘁𝗵𝗲𝗿 𝗮𝗽𝗽𝘀. If you only rely on unit tests, API tests, and a few UI scripts, things will quickly feel flaky and hard to trust. The reason is simple: agents don’t just return JSON. They plan, call tools, and make decisions on top of an LLM. That changes what “good QA” looks like. Here’s how I frame QA for agentic systems: 𝗞𝗲𝗲𝗽 𝗰𝗹𝗮𝘀𝘀𝗶𝗰 𝗤𝗔 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗽𝗹𝘂𝗺𝗯𝗶𝗻𝗴 All the deterministic pieces still need traditional tests: Mule APIs, orchestrators, RAG pipelines, queues, and DB updates. If an order API returns 500, that’s not an “AI problem”. 𝗔𝗱𝗱 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻𝘀 𝗶𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗲𝘅𝗮𝗰𝘁 𝗮𝘀𝘀𝗲𝗿𝘁𝗶𝗼𝗻𝘀 For the agent layer, the question is no longer “does the response equal this string?”, but: – Did it achieve the task correctly? – Did it call the right tools with the right parameters? – Did it stay within policy and guardrails? This is where scenario tests + automated evals (model or rule-based) come in. 𝗧𝗲𝘀𝘁 𝘁𝗼𝗼𝗹‐𝗰𝗮𝗹𝗹𝗶𝗻𝗴, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗮𝗻𝘀𝘄𝗲𝗿𝘀 A “nice” answer that called the wrong tool or over‑fetched data is still a bug. QA needs visibility into which tools were called, in what order, with which parameters, and treat that as part of the test result, not just the final text. 𝗜𝗻𝗰𝗹𝘂𝗱𝗲 𝘀𝗮𝗳𝗲𝘁𝘆 𝗮𝗻𝗱 𝗮𝗯𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀 𝗯𝘆 𝗱𝗲𝗳𝗮𝘂𝗹𝘁 Prompt injection, policy bypass, data leakage – these aren’t edge cases anymore. Red-team-style prompts and safety suites need to sit alongside your happy‑path scenarios, not in a separate security exercise once a year. For me, the mental shift is simple: 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗤𝗔 → “Does the plumbing work?” 𝗔𝗴𝗲𝗻𝘁 𝗤𝗔 → “Does the agent behave correctly, safely, and consistently enough to trust with real work?” I’m curious how other teams are evolving their QA practices for agents – are you using evals, traces, red‑teaming yet, or still mostly in classic API/UI testing mode? #AgenticAI #AIQuality #SoftwareTesting #QAEngineering #MuleSoft #IntegrationArchitecture #LLMTesting #AIAgents

𝗠𝗼𝘀𝘁 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗲 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹𝗶𝘁𝘆. 𝗕𝘂𝘁 𝘁𝗵𝗮𝘁 𝗶𝘀 𝗼𝗻𝗹𝘆 𝗽𝗮𝗿𝘁 𝗼𝗳 𝘁𝗵𝗲 𝗽𝗶𝗰𝘁𝘂𝗿𝗲. Many issues appear only when users move across flows. → Inputs behave differently → Navigation breaks → Async actions create inconsistencies These are flow-level gaps, not code-level issues. This is where integration testing matters. It validates real user journeys end to end. 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗯𝗿𝗲𝗮𝗸𝗱𝗼𝘄𝗻 https://lnkd.in/gV242iFT #flutter #flutterdev #integrationtesting #softwaretesting #qa #testautomation #mobiletesting #devops #appdevelopment #techify

200 OK means nothing. If your API returns broken data with 200 — that’s a bug. Rentgen.io catches cases like this automatically. No guessing. No assumptions. Just real behavior. Automation before automation. #APItesting #SoftwareTesting #QualityEngineering #QA #AutomationTesting #SDET #RestAPI #DevOps #TestingTools #BackendTesting #rentgen

Project update: feat(ui): add invalid login and product details UI coverage Expand UI automation to cover both the negative login flow and product details page validation in the SauceDemo framework. - add `test_invalid_login_TC_LOGIN_002` to validate failed authentication - add `test_product_details_page_shows_matching_item_information_TC_INV_002` - verify invalid credentials keep the user on the login page - assert the expected login error message is displayed on failed login - verify the selected inventory item's name, description, and price match  on the product details page - keep both tests aligned with the existing pytest fixture and page object  structure for reusable browser setup and page behavior https://lnkd.in/drGfhUQU

Shipping fast shouldn’t mean shipping bugs. With advanced QA & automation frameworks, you can catch issues early, release with confidence, and deliver experiences users actually love ⚙️✨ ✔️ Fewer bugs in production ✔️ Faster release cycles ✔️ Better user experience ✔️ Scalable, reliable testing Turn quality into your competitive advantage 🚀 👉 https://lnkd.in/gGAvZkWf #ideyaLabs #SoftwareTesting #QA #AutomationFramework #QualityEngineering #UserExperience #TechInnovation #DigitalTransformation

CI failed. 6 tests. No context. No cause. No fix. Just a red ❌ and a wall of timeout errors. So a developer asked QAI. → 4 checkout failures? TIMING_FLAKE. Page wasn't ready before assertions ran. One-line fix. → Product catalog failure? UI_CHANGED. Backwards assertion. Failed 21 times since March 28. Fix included. → Flaky or real regression? Not flaky. 0% flaky score. Block merge. One comment. No log diving. No guesswork. That's not a test runner. That's a senior QA engineer living inside your PR. 👉 GitHub Action: https://lnkd.in/eVze-3A4 👉 Dashboard + Ask QAI: useqai.dev #DevOps #TestAutomation #Playwright #OpenSource #DeveloperTools

Most people think testing means clicking  through an app manually. Test automation is different. You write a script ONCE that acts like a  real user—clicking buttons, filling forms,  checking results. Then it runs automatically on every single  code change. Day or night. Here's why it matters: → Catches bugs in seconds, not days → Runs 1,000 tests while you sleep → Saves weeks of manual testing per release → Gives developers instant feedback At QALynk Tech we build automation frameworks  using Cypress, Playwright and Selenium —  integrated directly into your CI/CD pipeline. The result? Your team ships faster and sleeps  better knowing every release is solid. Want to see what automation could do for  your product? Drop a comment or visit www.qalynk.com #TestAutomation #QATesting #Cypress  #Playwright #SoftwareQuality #QALynkTech  #SoftwareTesting #DevOps #Toronto

𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝘁𝗵𝗮𝘁 𝗶𝘀𝗻'𝘁 𝗧𝗲𝘀𝘁𝗮𝗯𝗹𝗲 𝗶𝘀 𝗮 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗥𝗶𝘀𝗸. 🏗️ After 4+ years in Backend & SaaS, I’ve realized: The most expensive code isn't bad code it’s untestable code. My shift into QA Automation wasn't just for a new skill; it was to evolve my design: 🔹 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐨𝐯𝐞𝐫 𝐎𝐮𝐭𝐩𝐮𝐭: Designing APIs that expose their health, not just data. 🔹 𝐂𝐨𝐧𝐭𝐫𝐚𝐜𝐭-𝐅𝐢𝐫𝐬𝐭: Ensuring every endpoint is a guarantee caught by automation before deployment. 🔹 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Scaling is useless if every update causes a regression. If you can’t automate the verification of your architecture, you don't own the system the bugs do. Devs: Are you building for speed, or for Quality Sustainability? #SaaS #Backend #QAAutomation #SystemDesign #CleanCode #SoftwareEngineering #SeniorDeveloper

Most teams treat testing as the final gate before release. The best teams treat it as a strategic weapon. At Gudakesa, our testing philosophy is simple: Predict → Optimize → Innovate Here's what that looks like in practice: → AI-based risk prediction catches defects before they ever reach QA → Performance engineering embedded directly into your CI/CD pipeline → Automation frameworks built to handle dynamic selectors and flaky tests → Real-device, cross-browser coverage via our BrowserStack partnership The result? ✅ Faster releases ✅ Fewer production incidents ✅ Higher user satisfaction — every single sprint Every release is a brand statement. Quality is not a checkbox. It's a competitive edge. How mature is your testing practice right now? Drop a number in the comments 👇 1 = fully manual, reactive testing 2 = some automation, mostly scripted 3 = CI/CD integrated, decent coverage 4 = performance + automation running in parallel 5 = AI-assisted, predictive, shift-left quality culture If you're between 1–3 and want to move faster — let's talk. #SoftwareTesting #QualityEngineering #TestAutomation #BrowserStack #AITesting #Gudakesa #ShiftLeft #DevOps