Hey all! Been a topic for while. Will AI be a tool for testers or a replacement?
Saw this YC Lightcone podcast. Around 23:01-24:30, one of the YC partners talks abt Momentic, an AI agent for building tests using plain English.
Side note: Anyone check them out? Thoughts on this specific company?
The entire discussion is focused around the idea of software shifting from SaaS/being a tool to actually replacing departments and jobs. Specifically, testing/QA is mentioned.
Supposedly, testing with this AI is quick enough so devs can own the entire testing process. The hosts seem to think that AI agents will replace testers⊠Curious to hear the communityâs thoughts on this topic!
Just diving into this spicy AI in testing debate - and boy, do I have thoughts!
Letâs cut through the hype: AI isnât going to replace testers, but it WILL dramatically transform how we work. Think of it like a supercharged assistant, not a job killer.
Real Talk Insights:
Devs âowning testingâ sounds great in theory, but anyone whoâs actually done complex testing knows itâs WAY more nuanced than running a few automated checks
AI tools like Momentic are impressive, but they struggle with:
Contextual understanding of complex user flows
Detecting subtle edge cases
Understanding business logic beyond surface-level interactions
My Hot Take:
QA professionals bring critical thinking, strategic test design, and deep domain expertise that no AI can replicate overnight. Weâre not just âclicking buttonsâ - weâre risk managers, quality guardians, and user experience advocates.
Momentic specifically looks interesting, but Iâd love to hear from anyone whoâs actually used their platform. Sounds like theyâre trying to solve the âtest creation is painfulâ problem, which is legit.
Curious what others think! Are you seeing AI as a threat or an opportunity? Drop your thoughts below!
Will the role change and require us to admit our skill set? Yes.
AI will change the landscape of the profession. However, this situation is not unique, as many professions will evolve. We are in the midst of the latest Industrial Revolution, and as with other Industrial Revolutions, there are two polarising scenarios.
Scenario utopia: The âinsert relevant advancementâ will allow humans to stop working and live a life of luxury.
Scenario dystopia: The âinsert relevant advancementâ is going to take our jobs, and we are all going to suffer and live a life of toil.
As history has proven, neither of these scenarios plays out, and reality lies somewhere between the two. To be on the right side of the scenario, we need to adapt and embrace the advancement, but we must treat it with healthy scepticism. This aligns with the natural state of testers. I like to think we are adaptable and embrace change but approach it with healthy scepticism.
Letâs also consider some of the general concerns around AI:
How can we trust it?
How can we ensure that it handles information securely?
How can we ensure it isnât biased?
How can we ensure it is performing as we expect it to?
The answer to all of these questions⊠robust and thorough testing!
If we adapt and further develop our skills, we will be needed now more than ever. It is up to us as professionals to prove this and be masters of our own destiny.
Iâm confident Ai has replaced some Testers already. More specifically, high levels of automated tool use, that has elements of Ai, has been one aspect of reducing the numbers of Testers at some companies.
Will Ai replace the entire Software Testing discipline? I hope not, I think like others have said it will evolve the role to make room for people who are adept as usual Ai powered tools.
Automation and Ai tooling isnât the only disruptive force that has changed the role of the Tester over the last 10+ years.
The evaluation of the role from Test Executor to Test Engineer and Coach has been driven by experienced Testers, and technology leaders who rightly identified things could be improved.
Alan Richardson did a great Podcast episode on this some time ago, title Manual QA is Dead, it still holds true today, even if it isnât focused on Ai.