From monthly releases to weekly, daily, and now multiple times a day – the feedback loop wavelength has shrunk dramatically over the past decade. 
This reduction in the “lambda” of feedback loops has opened the door for increased frequency within the same time frame.
Join Pradeep Soundararajan, Founder & CEO of Moolya and Bugasura, as he explains lambdas in testing and where should all these lambdas and frequencies head in 2025.
Still not registered? Hurry up and grab your free tickets: Register Now!
If you have already registered and up for the session, feel free to post your questions in the thread below 
If requirement is analysed by AI and highlighting preventive coding and preventive testing? how will role of testing and testers evolve?
Hey Jitendra,
That’s a great question!
If thе rеquirеmеnt is analyzеd by AI and prеvеntivе coding and prеvеntivе tеsting arе highlightеd, thе rolе of tеsting and tеstеrs will еvolvе in thе following ways:
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Tеstеrs will focus on morе stratеgic and crеativе tasks. Thеy will bе involvеd in thе еarly stagеs of thе dеvеlopmеnt procеss to hеlp idеntify and mitigatе risks. Thеy will also bе rеsponsiblе for dеvеloping and еxеcuting automatеd tеsts, as wеll as analyzing tеst rеsults.
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Tеstеrs will nееd to havе strong analytical and problеm-solving skills. Thеy will nееd to bе ablе to undеrstand thе AI-gеnеratеd tеst casеs and rеsults, and to idеntify any potеntial problеms.
Tеstеrs will nееd to bе ablе to work closеly with dеvеlopеrs and othеr stakеholdеrs. Thеy will nееd to communicatе еffеctivеly and to build rеlationships with othеr tеam mеmbеrs.
Hеrе arе somе additional thoughts:
- AI can hеlp tеstеrs to bе morе еfficiеnt and еffеctivе by automating rеpеtitivе tasks, such as tеst casе еxеcution and rеsult analysis.
- AI can also hеlp tеstеrs to bе morе crеativе by gеnеrating nеw tеst idеas and scеnarios.
Howеvеr, AI is not a rеplacеmеnt for human tеstеrs. Human tеstеrs will still bе nееdеd to providе critical judgmеnt and insights, as wеll as to work with AI-powеrеd tools to еnsurе thе quality of softwarе.
Hopе this hеlps!
Here is one of the questions asked during the session.
How do you find our North Star in enterprise product testing?
Pradeep: Finding your North Star in enterprise product testing can be challenging. Unlike startups, enterprises have already achieved market presence and are looking to sustain growth. This means that you need to find a way to innovate quickly and efficiently, while still maintaining a consistent level of quality.
One way to do this is to focus on collaboration. Partner with startup incubators or other organizations that are dedicated to innovation. This will give you access to new ideas and perspectives, and help you to stay ahead of the curve.
Ultimately, the North Star for enterprise product testing is innovation. If you can find a way to embrace innovation quickly and effectively, you will be well on your way to success."
Another question asked in the session was How to learn a new tech faster?
Pradeep: To accelerate the learning of a new technology, it’s crucial to establish a solid foundation. Without a strong grasp of fundamental concepts, mastering any new subject can be challenging. Start by reinforcing your fundamental understanding of related protocols and principles. Once your base knowledge is solid, approach the new technology by identifying its underlying protocol layers.
By dissecting these layers, you can systematically comprehend the new technology’s structure and functionality. Remember, if you’re struggling to learn, revisiting and strengthening your foundational knowledge will be a springboard for more effortlessly grasping new concepts.
And here is last question picked during session!
Looking back a decade ago, things are very different from what we have today. So, if we’re starting very new into testing, given the advent of all these fancy tools we have right now to make things lazy, what would be some of your advice and tips to get started in testing?
Pradeep: Over the past decade, there has been a substantial surge in the availability of learning resources, coupled with the emergence of a supportive mentorship community aimed at facilitating individual success.
In stark contrast to the situation two decades ago, which presented considerable challenges in locating dedicated mentors, contemporary learners now enjoy unfettered access to a plethora of resources and a willing cadre of individuals eager to provide guidance. This positive transformation owes its existence to individuals such as yourself, whose contributions have played a pivotal role in nurturing this community spirit, ultimately fostering an environment of collaborative learning.
Let’s have a look at some of the unanswered questions asked during the session.
A lot of well known organization are still adopting a “QA/QC Less” and expect developer to test everything. What is your take on this trend?
How can we update ourselves in such continuously changing development without having so much hands on in day to day ?
What are the ways to automate database testing?
How is AI going to disrupt the QA market ? What will be the future QE going to look like in the next 5-10 yrs?
What is the best test automation software?
Is ChatGPT in future reduce the QA/Automation Tester .
How can I start my career in QA? Is there any remote internship to learn on the job?
What approaches we should use to test ChatGPT to break it?
How do you see AI’s involvement in near future?
How can we see Generative AI impacting testing in coming era?
Transitioning to a career in software testing requires certain steps and learning efforts on your part to secure entry-level positions. Could you please advise on what I need to learn to successfully enter this field?
With AI trying to rule the world, how does the future look for manual testing?
How do you determine the appropriate test coverage to ensure a product’s quality?
