A Kanban Board is a simple visual tool that helps you manage work as it moves through different stages of a process. It helps you divide and visualize work into columns such as “To Do,” “In Progress,” “Done”, etc.Each piece of work is written on a card. As work progresses, the card moves from one column to the next. It helps every stakeholder see what needs to be done, what’s in progress, and what’s finished at a single glance.By making work visible and limiting how much is “In Progress” at any time, it helps teams stay focused, avoid overload, and think more clearly about how work is actually getting done.

Is the future of test case management at risk? Let's go exploring.

Generative AI apps and integrations are growing fast and so are the injection attacks. This time it's through harmless-looking plain text, aka prompts.

Was watching Rahul talking to introduce his presentation and I was like: Oh my God! I'm so happy and proud to have Rahul as the first Speaker ever in MoT Sousse Meetup ^^ This could be read on my ...

Prompt injection is a security attack that happens when someone intentionally manipulates the input to a Generative AI system like a chatbot or code generator to make it behave in ways the designer didn’t intend.It’s done by crafting inputs to Gen AI systems in order to confuse, hijack, or redirect the AI’s response by messing with its underlying structure.For software testers, it's a way to test for input attacks on LLM-based systems. Just like a SQL injection or XSS, but here the payload is language and words designed to interfere with the model or system prompts.

Artefacts or records created or collected during the testing process. It serves as proof of what was tested and can be used for further investigation, documentation, or compliance needs.

Build quality into every step of the software lifecycle with the whole team involved

How can AI be your trused advisory board. Rahul takes a long standing leadership model of advisors offering ideas to a leader who makes the final decision and brings it into an AI future

66% of us seem to think so

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.