Rahul Parwal | Activities

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A model to guide software testers in selecting the right LLM based on task complexity and output quality needs.

When you ask a tool to generate code, your role is central. Every step you take lays the foundation for the final output.

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By mapping tasks into these quadrants, testers can better understand when to rely on AI and when human judgment is necessary.

By socialising the activities involved in testing software, we can share our experience and promote the craft while having some fun.

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Thanks, Ministry of Testing for publishing and sharing such an amazing read for testers. We 💜 it!

Thanks, Ministry of Testing for publishing and sharing such an amazing read for testers. We 💜 it!

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Definitions of Quality Engineering

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Testers do everything, but somehow, all anyone notices is the part where we hit "run" on a test case. Classic paradox. Reality: A chaotic blend of tasks—meetings that could've been emails, decip...

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Dive into the critical role of testers in an AI-driven world

Explore 99 must-know resources to elevate your skills and simplify your search for the best tools, methodologies, and insights

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Overcome the common challenges of starting a testing career with practical insights that will set you up for success!

This is a summary

Rahul shares insights from his participation in the Ministry of Testing's 30 Days of AI in Testing challenge

To harness the full potential of AI in test automation, we must shift our focus from generating tests to empowering testers

We all have our own unique testing journeys

First day of 99 Second Talks at TestBash Brighton 2024