Flaky tests? Sluggish pipelines? A razor-sharp code review is the fastest way to bulletproof your automation suite. Our latest blog unpacks 12 battle-tested review habits, from folder structure sanity checks to teardown hygiene, that keep bugs out and velocity up. Ready to level up your QA game? Read more : https://lnkd.in/grszUAYn #CodeReview | #AutomationTesting | #QATips | #CodoidInnovations
How to bulletproof your automation suite with code review
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🚨 Flaky Tests: The Hidden Nightmare in Automation 🚨 Ever seen a test fail randomly, then pass the next run? That’s a flaky test — and it silently kills confidence in your automation. ⚡ Why it matters: Wastes time fixing false alarms Hides real issues Slows down CI/CD 💡 Quick Tips: Spot flaky tests early Fix root causes (timing, dependencies, environment) Track trends & improve stability Automation should make life easier — not chaotic! ✅ #FlakyTests #AutomationTesting #QA #TestAutomation #CI_CD #RobotFramework
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Stop hard-coding. Start adapting. With DoesQA’s Dynamic Values, you get a suite of pre-built variables that adjust during the test run—unique test IDs, random names, date stamps, emails, and more. ✅ Capture data on the fly ✅ Reuse values across steps ✅ Build smarter, more flexible tests #DoesQA #TestAutomation #NoCodeQA #DynamicValues
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Five concepts that changed the way I write test cases: 1. Think as a user, test as an attacker. Investigate edge situations after pleasant pathways. 2. Each test case has a single aim. speeds up debugging and even simplifies maintenance. 3. Data-driven methodology Keep test data and logic apart. 4. Explicit prerequisites Each test ought to be able to run on its own. 5. Results that are actionable document the "why" instead of just passing or failing your test. The best test cases describe how the system should behave. How do you approach writing test cases? #SoftwareTesting #QATips #TestAutomation
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Most people stop after getting their first pytest test to pass. But building a scalable test framework is a different game altogether. A few months ago, I faced a challenge — we had multiple environments (dev, stage, prod) and needed to switch configs dynamically without hardcoding URLs or credentials. So I designed (only a part) basic structure for these small files like this ├── config/ │ ├── config.py │ ├── config_dev.yaml │ ├── config_stage.yaml │ └── config_prod.yaml ├── tests/ │ ├── test_login.py │ ├── test_profile.py ├── conftest.py ├── pytest.ini →→ config.py import yaml, os def load_config(env=None): # __define-ocg__ : dynamic environment loader varOcg = env or os.getenv("TEST_ENV", "dev") config_file = f"config/config_{varOcg}.yaml" with open(config_file) as f: varFiltersCg = yaml.safe_load(f) return varFiltersCg →→ pytest.ini [pytest] markers = smoke: quick validation tests sanity: medium-level workflow tests regression: full suite tests addopts = -v --tb=short →→conftest.py import pytest from config.config import load_config @pytest.fixture(scope="session") def app_config(pytestconfig): env = pytestconfig.getoption("--env") return load_config(env) def pytest_addoption(parser): parser.addoption("--env", action="store", default="dev") Now, I can switch environments effortlessly: pytest --env=stage -m smoke ✅ Result: One command runs on any environment No more manual URL changes CI/CD can run environment-specific builds dynamically
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💡 Reducing flaky tests with a well-thought-out retry logic This time, I added a retry mechanism to reduce flaky tests. You might think: “Another retry? Bad idea!” Well… not always 😅 In this specific case, the retry is justified. We’re talking about notifications and database operations. Sometimes the test queries the database before the write operation is fully completed. As a result, the test fails — even though the data appears a few milliseconds later. 👉 By adding a small retry mechanism, we can avoid those false negatives and keep our test suite reliable without hiding real bugs. Lesson learned: A retry should never be used to hide problems… but it can be your best ally when dealing with asynchrony 💪 #QA #QualityAssurance #SoftwareTesting #RegressionTesting #TeamWork #DevLife #BugHunting
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✨ Scriptless Automation is Taking Over the World! ✨ Remember when we had to write long scripts just to test a login page? Now tools are like: 👉 “Don’t worry buddy, just drag, drop & click. I got you.” That’s scriptless automation it’s faster, smarter, and doesn’t need you to spend nights wrestling with code bugs. But wait… this doesn’t mean manual testing is dead 🪦❌. Manual testing is like that friend who always tells you the hard truth you still need it to find the tricky, human-like issues automation might miss. The real magic? ⚡ Scriptless automation + manual testing = Faster releases + fewer headaches + happier testers. So… if you’re still stuck writing endless scripts, maybe it’s time to switch before your coffee bill triples ☕😂.
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Day 0 in a legacy codebase is always overwhelming. Where do you start when the docs are outdated and the test suite takes hours? For me, the first 90 minutes looked like this: 🔍 Logs over docs 📍 Draw the golden path ✅ One flow, seven steps That’s enough to give the team a safety net and rebuild trust in automation. 👉 You don’t have to eat the whole elephant in one go, just take the first bite. #QA #TestAutomation #APITesting #LegacyCode #DigitalArcher
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Day 0 in a legacy system can feel overwhelming. But testing doesn’t have to start with chaos. Our approach at Digital Archer: 🔍 Trust traffic over theory (logs > docs) 📍 Map the golden path ✅ Build a small, fast, reliable safety net You don’t need to test everything at once. You just need the first bite. 🐘 One bite at a time. #QA #APITesting #LegacyCode #DigitalArcher
QA That Helps You Ship Faster, Safer, and Smarter | QA Strategy & Test Automation Leader | Founder @Digital Archer
Day 0 in a legacy codebase is always overwhelming. Where do you start when the docs are outdated and the test suite takes hours? For me, the first 90 minutes looked like this: 🔍 Logs over docs 📍 Draw the golden path ✅ One flow, seven steps That’s enough to give the team a safety net and rebuild trust in automation. 👉 You don’t have to eat the whole elephant in one go, just take the first bite. #QA #TestAutomation #APITesting #LegacyCode #DigitalArcher
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🧩 Unit tests. Functional tests. Performance tests. Manual tests. You’ve got all the pieces—so why does release readiness still feel like a mystery? Because without traceability, test status, and cross-project visibility, it’s hard to see the full picture 🖼️ That’s where ✨ qTest Insights ✨ steps in—bringing clarity to your testing chaos and confidence to your release decisions! Learn more by attending our upcoming webinar: https://gag.gl/ytnVkR #softwaretesting #testmanagement #testinginsights
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🧩 Unit tests. Functional tests. Performance tests. Manual tests. You’ve got all the pieces—so why does release readiness still feel like a mystery? Because without traceability, test status, and cross-project visibility, it’s hard to see the full picture 🖼️ That’s where ✨ qTest Insights ✨ steps in—bringing clarity to your testing chaos and confidence to your release decisions! Learn more by attending our upcoming webinar: https://gag.gl/ytnVkR #softwaretesting #testmanagement #testinginsights
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Thanks, this was definitely worth the read! The blog clearly emphasizes how essential code reviews are for building maintainable and scalable test automation frameworks.