What were some of the difficulties QA professionals used to face before graduating vs. nowadays How can I excel at quality assurance? #Spring25?
This goes specially in software but open to other areas.
I'm currently a Junior in Computer Science and it's been a long road to get to this point, even admitting that I don't like coding that much. I've realized however that I do enjoy Quality Assurance and testing. I was wondering how professionals have overcome and even got to the point where they realized they liked QA and would like to build their career around it.
#Spring25
9 answers
Tyler’s Answer
First off, congrats on realizing that coding isn't your passion! It's a tough but important discovery, especially if that's where you began. I spent over 20 years as a Software Developer. While I enjoyed solving problems, the coding part often felt long and unfulfilling. I'm grateful for my coding background, but I find much more happiness as a Program Manager now. I wish I'd had the courage to explore different paths sooner.
Secondly, having coding knowledge is a great asset for everyone! My wife works in Customer Service, and though she doesn't code, her Python courses helped her understand what software can and cannot do, which is really valuable.
Lastly, from what I've seen, QA is moving towards full automation, or sometimes being phased out with those tasks shifting to Software Developers (which isn't always the best move, in my opinion). Learning automation and exploring how AI can help with test code and cases is a smart step. Your coding skills will definitely be useful, even if coding isn't your main focus.
Naman’s Answer
Mark’s Answer
Craig’s Answer
Don't worry too much about coding. New AI technology is making it easier for everyone, even if coding isn't your strong suit. With a basic idea of what you want to achieve and how a program can assist, AI can help you create the code you need. Think about how things have changed: programmers once had to deal with complex settings and binary code, then came more advanced languages. Now, you can simply ask an AI tool in plain language to help build a program for you. This is where AI can really make a difference. You just need to know what you want to accomplish and how to check it, but coding is now much less of a hurdle. Good luck!
Jacqy’s Answer
I've worked in QA on and off for many years. I'm not a developer, and now there are many testing tools that don't need coding. Check out some AI and NLP tools. For me, understanding the business side is crucial since I focus on business applications. You need to know how the industry works. QA requires a unique person! It's all about finding and fixing problems. Critical thinking is essential. Try to get an internship or job shadowing opportunity. Also, think about roles like product owner or support/help desk to get started. Having various skills will show you can adapt to the changing world.
Vishnu Vardhana’s Answer
The key is to see AI as a tool, not a competitor. In quality assurance, the human side still matters a great deal. AI can identify patterns, but people decide what those patterns mean. Automation can catch exceptions, but humans still need judgment, ethics, empathy, and context — especially in healthcare, where quality affects patient outcomes, safety, and trust. The students who will stand out are the ones who are both tech-comfortable and people-focused. To prepare for QA internships, focus on four things:
Learn the basics: quality systems, compliance, documentation, audits, root cause analysis, and process improvement.
Build practical skills: Excel, data organization, reporting, dashboards, and familiarity with automation or AI tools.
Get relevant exposure: internships, campus projects, research, volunteering in healthcare settings, or operations-related student roles.
Practice your story: be ready to explain how you solve problems, notice details, work in teams, and adapt to new tools.
My advice: do not feel pressured to know everything now. Start building a strong foundation, stay curious about AI, and keep developing the human skills technology cannot replace. That combination will make you a strong QA candidate.
Milan’s Answer
Another great option is to become a product owner, especially as the IT world shifts from waterfall to agile methods. This role lets you meet customer needs and enjoy quality assurance and testing in a new way.
Good luck on your journey!
Vanam’s Answer
Based on my journey through the industry transition, I would certainly look for opportunities around QA - automation and keep it as open source scripting. With the exposure into the field, the newer and much easier tools that are available for enthusiasts to explore, QA is a highly thriving area and is here to stay.
Liz’s Answer
A good QA has similar skills as developers: analytical thinking, problem solving, tech curiosity, attention to detail, understanding requirements and business needs, and communication & collaboration.
What I like the most is looking at the software from multiple perspectives. I try to think like a customer, a dev, product owner, and business stakeholder when vetting the software features. My role is to identify risks by collaborating with all stakeholders, ask questions nobody else considered, & prevent problems before they reach production. QA doesn't just test - we help teams deliver better apps & better customer experience.
QA offers many different career paths: manual testing, test automation, performance testing, security testing, accessibility testing, test leadership & strategy, and product & process improvement.
QA is changing rapidly in today's environment. It has evolved from test executor to quality advocates/engineers. To remain relevant, I recommend:
-Always be curious & learn new tools & technologies.
-Join an AI and/or Automation guild or community to get the latest on tools and solutions.
-Be part of the AI journey and use it ethically in your daily work.
-Once employed, participate in any automation and AI training, communities, and knowledge share that are offered.
-Share your knowledge with others.
-Be in tune with the business and customer behavior when they use the software you're supporting.
-Understand risk-based testing to focus on what matters most.
-Alway look for ways to improve processes and workflow to prevent defects, not just find defects.
-Broaden your knowledge of automation, Agile practices, cloud technologies, and the business domain.