Телеграм канал «QA Community»

☁️🤖 A New Perspective on QA: From Cloud Components to AI
How is QA evolving as applications become more complex and AI becomes part of everyday testing? 👀

📅 October 7 | QA Meetup in Bengaluru
📍 Offline: Sunhive office, Bengaluru
💻 Online: streaming available
🎤 Nishant Gohel – Backend Automation Engineer

Cloud: Tested or Just Trusted?
Practical approaches to testing cloud components, finding issues early, and improving reliability.

🎤 Sanjay Kumar – Founder & Creator of SelectorsHub
Your Daily QA Problems – Solved (With and Without AI)
Real-world QA challenges and practical solutions using AI, automation, and useful tools — including where AI actually helps.

⏰ 19:00 IST / 15:30 CEST
🕒 2 hours | 🗣 English
🔗 Register here

🧠 Two practical talks, real-world examples, and ideas you can use right away.
See you at the meetup! 🚀

🤖 Can a chatbot save your mental health?
IT is intense: deadlines, context-switching, late-night debugging — and AI is making the pace even faster. 🌀

Many of us now use AI not only for work, but to vent, organize thoughts, rehearse difficult conversations, or simply feel “heard” at 2 AM.
And honestly? It helps. ✅
• 24/7 and judgment-free
• Helps structure thoughts
• A great practice partner

But here’s the catch. ⚠️
AI can’t replace a hug, human presence, or real connection.

From a preventive medicine perspective, AI can be a first step — but it should lead toward people, not away from them.
AI should be a bridge, not a bunker. 🌉

💬 Are we using technology to help us connect — or to avoid connecting?
Have you ever used AI to prepare for a difficult conversation?

🎓 September 24 | How to Enter IT in 2026 — and Get Your First Job Offer 👀

AI is changing the IT job market. What skills actually matter in 2026 — and what can help you go from learning to your first commercial project?

📍 Andersen IT Community × Andersen Trainee Program invite aspiring IT specialists to an online meetup.
🔹 Two tech stacks instead of one — the new learning approach
🔹 AI from day one — tools every IT specialist should know
🔹 From application to job offer — selection criteria & common mistakes
🔹 Real stories from graduates — what helped them enter commercial projects
🔹 Q&A with the speaker

👩‍💻 Speaker: Yana Pryiezzhykh, Lead Education Coordinator at Andersen
📅 September 24
⏰ 16:00 CEST | 1 hour
🗣 English | 💻 Online
🎯 Perfect for: aspiring IT specialists, students, recent graduates and anyone planning to apply for an internship.

👉 Register here

More about Andersen Trainee Program:
📱Telegram
📱Apply for traineeship

🧠 Lode Coding: Giving Your AI Assistant a Persistent Memory

AI coding assistants can write code, but without project context, every new session can feel like starting from scratch.

📅 September 22 - join us to explore Lode Coding, AI-owned knowledge bases, AGENTS.md, preserving architectural decisions, and lessons from months of real-world experience.

🎤 Speaker: Pavel Osadchuk — Principal .NET Engineer & Software Architect, 15+ years in software development.

⏰ 16:00 CEST | 🕒 45 min | 🗣 English | 💻 Online

🔗 Save your spot: here

💡 Less context loss, more value from AI. See you there! 🚀

💼 Our vacancies

Every square is guilty until proven innocent

👁🎨 Back to BI dashboards!
On September 17, we're meeting with Darya Drobova again for “Best Practices for Effective BI Dashboards” 🎯

We’ll talk about:
→ why dashboards fail even when they look good;
→ how to reduce visual clutter;
→ UI/UX practices for faster data understanding;
→ real-world examples + practical checklists.

🎙 Darya Drobova, Principal BI Developer at EffectiveSoft, 12+ years in BI.

⏰ 19:00 Minsk / 18:00 CEST
🕒 1 hour | Russian
📍 Offline: Andersen office, Minsk
💻 Online: stream link after registration
🎫 Register here

🔥 Ready to make your dashboards clearer and more useful? Join us on September 17!

💡 SQL tip

One SQL topic especially useful for backend testing is subqueries.

A few patterns worth remembering:
🔹 IN (SELECT...) - dynamically filter records without manually copying IDs.
🔹 EXISTS - quickly check whether related data exists.
🔹 NOT EXISTS - find missing relationships. Very useful for spotting data inconsistencies.
🔹 WHERE value > (SELECT AVG(...)) - compare records against an overall value, such as an average.

The key takeaway: you don't need to memorize every syntax pattern. Think about what your main query needs and how another query can provide it.
For QA, this is especially useful when investigating API responses and checking what actually happened in the database.

📖 More details: Linkedin

#QA #SQL #SoftwareTesting #DatabaseTesting #BackendTesting