Testlum for Windows is live 🚀
Our first official Windows build brings native support, improved stability, smoother Recorder/IDE workflows, and better XML sync.
👉 Download: https://t.co/7J5O7zYwqJ
#Windows#TestAutomation
Without code reviews, test automation just builds false confidence through flaky, assertionless scripts.
Focus on:
✅ Logic over syntax
✅ Maintainability
✅ Real assertions
Stop debugging your tests. Try: https://t.co/M2CCMbGTnn
💬 How do you review scripts?
#QA#Test
Production fixes are a necessity; catching them in dev is a strategy 🚀
To stabilize releases:
🔹 Prioritize
🔹 Shorten Loops
🔹 Align
🔹 Analyze RC
Discover more in our Linkedin post: https://t.co/PahYFfeT0r
💬 How do you balance velocity vs. QA?
#QA#DevOps#TechStrategy
Manual mobile testing across every OS + screen size? Mathematically impossible.
Automate the repetitive. Focus humans on what actually needs human judgment.
👉 That's why we built https://t.co/M2CCMbGTnn
What's your manual-to-automated ratio right now? 👇
#MobileTesting#QA
Personalization breaks when the logic behind it fails.
No-code testing = thousands of user journeys automated, zero code required.
Less bottleneck. More empathy. More trust 🚀
#NoCode#QA#CX
AI features are hard to test because model behavior rarely gives clean pass/fail results.
Edge cases multiply, consistency is tricky, and every model update means more re-testing.
💬 What slows down your test coverage most right now?
#QA#NoCode#AI
Quality is no longer a final QA gate; it’s a shared responsibility:
✅ Devs build for testability.
✅ QA builds for risk management.
A green pipeline is just the start. Real CI/CD is about evidence-based release decisions.
#QualityEngineering#QA#Dev
Manual scales with headcount and coordination. Automation scales with code.
In 2026, setup is no longer a barrier:
✅ AI self-heals tests
✅ No-code = no dedicated engineers
✅ Catch bugs before users do
#QA#TestAutomation
In AI products, the challenge it's the system ⚙️
We helped @Skillframe launch an AI hiring platform that turns meeting recordings into structured insights.
👉 Read how: https://t.co/8l95w7vA4Q
#AI#AWS#RAG#HRTech
AI coding boosts velocity, and review pressure.
Real challenge: maintainability, consistency, architecture fit, edge cases.
More code, faster → higher review bar.
💬 Has your team changed any review or quality checks since AI coding became standard?
#CodeQuality#AITools
AI won’t replace QA. It will replace repetitive QA work.
What stays human:
• judgment
• risk analysis
• business context
• user empathy
AI can execute tests. It still can’t decide what matters most.
💬 What part of QA will always need people?
#QA#AI#SoftwareTesting
We replaced 5 QA tools with 1.
Less dashboard chaos. Less vendor overhead. Faster debugging. Simpler onboarding.
One source of truth.
👉 Try Testlum free: https://t.co/9sz4lxvxY8
#QA#TestAutomation
40% of code is AI-generated. 100% still needs testing.
AI speeds up shipping.
It also speeds up bugs when QA can’t keep up.
💬 Is your testing process ready for AI-speed development?
#QA#AI#TestAutomation
You can pay for testing now, or pay much more for bugs later.
One production bug can cost:
• trust
• churn
• sprint time
• delayed releases
That’s the problem @Testlum was built to solve.
#TestAutomation#QA
Manual QA shouldn’t wait in line for automation.
If a tester can describe the case in 3 minutes, they should be able to automate it without waiting 3 days.
That’s what we’re building at @Testlum.
Try it free: https://t.co/f3DIXwmODS
#QA#TestAutomation#SoftwareTesting
CI/CD fails when tests are weak, stages are mixed, monitoring is missing, and security comes last. QA today means owning pipeline quality end to end. Testlum helps teams stay organized and aligned.
👉 Learn more in our last post: https://t.co/cvuebpXG3V
#QA#CICD#TestAutomation
QA finds defects. Quality Engineering prevents them.
Today, quality is built into the whole SDLC through automation, CI/CD, monitoring, and scalability. At Testlum, we combine QA + QE in one approach.
👉Learn more here: https://t.co/pPssMskJAn
#QE#QA#SDLC
APIs used to be stable contracts. AI changed that.
Now QA needs more than contract tests:
• semantic checks
• behavioral validation
• model + code regression
• stronger observability
• scenario-based security
How is your team testing AI-driven APIs?
#QA#API#Quality
Tests pass, but UI still breaks?
With @Testlum Visual Testing you get:
✅ Snapshots
✅ Pixel-by-pixel checks
✅ Catch UI issues early
How do you catch visual regressions?
➡️ Try it for free: https://t.co/UqZLQFNp7L
#QA#TestAutomation#UI#Testlum
3 years ago, NLP in testing followed strict templates. Today, it generates tests from user stories, DOM analysis, API schemas, and more, 4x faster with 60% less maintenance.
💬 Have you tried NLP-based test generation?
Get a 30-day free trial👉https://t.co/RupkCGz7Np
#NLP#QA