Jonathan Cole

Tester

Tester with two decades of EPOS experience. A Domain Expert and Cross‑Functional Generalist focused on quality, clarity, and continuous learning. Currently developing automation skills across Web Apps, WPF desktop applications and API testing.

🎂 MoTaBirthday | September 17, 2024

Attending MoTaCon 🤝

Moments (5)

1,000 songs in your pocket changed how the world listened to music...

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

All On-Demand Courses

As a tester working in a small team, I often found myself using skills that I couldn’t easily name or evidence. When our company was taken over by a larger organisation, I needed to align myself w...

29 Jul

Call for Insights turns 45

On the 15th of January 2026 myself and Ujjwal Kumar Singh joined a call and pressed record. We were curious to see what would happen. A few weeks later I’d done the same with Neil Taylor and Clare ...

6 Jul

Thought‑Provoking Sessions at MOT Sheffield

I had a slightly eventful trip over from Derby in the heat thanks to a misbehaving radiator, so I had to slip away promptly at the end.  I wanted to say thank you for organising such a really ...

25 Jun

Insights (2)

Are your AI efforts good enough?

10 ideas to question your quality AI work.

10 Jul

From manual to automated: a tester’s journey into AI

Master the RICCE framework to transition from manual testing to AI-augmented automation by leveraging structured prompting and the Playwright MCP agent ecosystem.

9 Apr

Sessions (1)

Roundtable: AI Learnings and Demos

How do we know AI is doing a good enough job?

10 Jul

Glossary Terms (1)

Context repo A small repository of Markdown or text files, each describing a specific module or system component, maintained so that testers or developers can load relevant system knowledge into an AI session at the start rather than re-explaining it each time. Addresses the statelessness of AI models across sessions by externalising institutional knowledge in a reusable, session-ready format.For example: a file per microservice describing its purpose, key behaviours, and known edge cases; a file per integration describing the contract between two systems.

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Jonathan Cole

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Contributions (9)