Rahul Parwal
Rahul Parwal
Test Specialist
Rahul Parwal is a Test Specialist with expertise in testing, automation, and AI in testing. He’s an award-winning tester, and international speaker.
Want to know more, Check out testingtitbits.com
🎂 MoTaBirthday | June 21, 2020
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1,000 songs in your pocket changed how the world listened to music. The MoTaverse changes how tech professionals grow their careers.Sixteen features, sixteen stories, one thread running through al...
26 Aug
AI Orchestration Levels
Prompt EngineeringTell a model what it should do
Context EngineeringDefine context for a model to work in
Harness EngineeringDesigning agentic runs (tools, permissions...
23 Aug
GitHub - mattpocock/skills: Skills for Real Engineers. Straight from my .agents directory. · GitHub
Code is NOT CHEAP
Bad Code is heavily expensive
Good codebases matter
Software fu...
22 Aug
Testers keep asking me this wherever I go and visit. The industry is going through a tech divide, and people want to upskill and re-pivot their career and skills towards AI. This is a great thing. ...
12 Aug
AI agents are becoming the new OS for building, testing, and shipping software
7 May
Rahul Parwal and Rosie Sherry discuss how quality professionals can navigate AI adoption, avoid the noise, and find where human skill still matters most.
27 May
Identify, test and improve AI guardrails through a structured, scenario-based framework that addresses common implementation failures and attack patterns.
7 May
Reversal curse
A limitation of AI language models where training on "A is B" does not automatically teach the model "B is A." For example, a model that knows Tom Cruise's mother is Mary Lee cannot reliably answer who Mary Lee's son is.
Stochastic systems
A system that generates outputs based on probabilistic and statistical computations rather than fixed rules, meaning the same input can produce different results. In AI, this is what makes models appear clever but also unpredictable and prone to quality gaps.
[Ai tools] are non deterministic or like a better word is stochastic systems, which can predict data based on smart advanced mathematical operations, statistical computations, probabilistic data, calculus, uncertainty, and so on. And that is the reason why AI looks really clever. No matter what you ask to it, it is always ready to give you an answer.
Context poisoning
An attack in which a malicious prompt is injected into an AI system's active context, often with instructions to "forget" previous guidelines, granting the attacker control over the model's behaviour for the remainder of the session.
The malicious prompt can just say that forget everything which was told to you before and now just do this thing which I'm asking you to do. Now, if this happens, this is called context poisoning or context injection. And once you poison the context, then you can get anything and everything done out of any AI system.
Quality Engineering
Quality Engineering is a practical response to how software is built today. Instead of treating quality as a phase, QE treats it as a system. It’s embedded into design, coding, automation, infrastructure, observability, and the continuous feedback loops that guide decisions. Quality work now starts early, long before a single line of code exists.
RICE-Q
A framework that helps the AI gather the right context and not work as an alien.
R – Role: Ask the AI system to “act as a role”.
I – Instructions: This is the instruction that you give to the AI system.
C – Context: Describe the context about the purpose, feature, application, or system.
E – Example: Provide a sample of your expected output.
Q – Questions: Tell the AI system to ask you clarifying questions before answering or hallucinating.
Comments
(100)
Mary's lamb is a trap
I am a SME for Requirement Engineering at my work and this is an example that I use a lot often.
Head of Engineering Lesson 2 - Don't walk into accidental isolation
Great advice. Especially this:
That person got you this role and earned the respect and love from the people around you. Be that person and if you start to ruminate about things going wrong or that you're not worthy, do something directly against those negative thoughts.
Thanks for sharing this.
Demi left the TWiQ stage for a moment and look what Bug did!
lol
Think bigger: what's going on with the AI test case generation?
Thanks for doing this call for insights. valuable insights!
Cameras On but Who's capturing whom - Some Fun at MoT London Meet-up
See you at MoTaCon!
How I destroyed a 3000 $ IoT Device, and what it taught me about testing
(wonderproxy.com)
23 Jul
How to use AI in your daily SDET workflow: a practical ATDD guide
(shiftsync.tricentis.com)
19 Jul
Learner completed your lesson
8.7.0 of MoT Software Quality Engineering Certificate
Community Star
about 3 hours ago
Learner completed your lesson
8.4.0 of MoT Software Quality Engineering Certificate
Community Star
about 3 hours ago
Learner completed your lesson
6.9.0 of MoT Software Quality Engineering Certificate
Community Star
about 3 hours ago
