Jesse Berkeley
Senior Test Engineer
Hey folks, I am Jesse Berkeley and I'm here to learn from you all as I continue to grow in the craft of test engineering and quality engineering. Looking forward to learning from the community!
Open To
Write
Podcasting
Meet at MoTaCon 2026
Achievements
Certificates
Awarded for:
Achieving 5 or more Community Star badges
Activity
thanked contributors on:
earned:
Why teams miss system signals
awarded Ady Stokes for:
Why teams miss system signals
awarded WonderProxy for:
Why teams miss system signals
awarded Hanisha Arora for:
Why teams miss system signals
Contributions
The G.R.O.W FrameworkA human-centred approach to adopting AI in test engineering.
G — Guide with Empathy
R — Reskill the Team
O — Ownership over AI
W — Win Measurable Impact
Simon and Diana kicking things off with the LwAI where the testing community meets AI — and leads the change.
When a system improvises like a jazz soloist, "different" stops meaning "wrong"
AI needs guardrails to play by the rules and work better
 Thank you to everyone who joined my AI masterclass yesterday!Loved the engagement, energy, and enthusiasm that you all brought.Of course, always grateful for the opportunities like these.Than...
Interesting question from Jesse Berkeley on quality assistance model - https://www.ministryoftesting.com/moments/ama-about-transitioning-to-quality-assistance-modelI took a few days to think about ...
A Sandbox is an isolated environment used to safely run, test, or experiment with software without affecting live systems, real users, or production data. It provides a controlled space where changes can be made, code can fail, and unexpected behaviour can be explored without risk outside the sandbox. For example, a team building an online checkout feature might use a sandbox version of their application to test new payment logic. In the sandbox, testers can create fake users, place dummy orders, and deliberately trigger errors like failed payments or timeouts without charging real customers or impacting the live website. Once the team is confident the change behaves as expected, it can then be safely promoted to production.Â